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Reliability and validity of an accelerometric system for assessing vertical jumping performance

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The validity of an accelerometric system (Myotest©) for assessing vertical jump height, vertical force and power, leg stiffness and reactivity index was examined. 20 healthy males performed 3ד5 hops in place”, 3ד1 squat jump” and 3× “1 countermovement jump” during 2 test-retest sessions. The variables were simultaneously assessed using an accelerometer and a force platform at a frequency of 0.5 and 1 kHz, respectively. Both reliability and validity of the accelerometric system were studied. No significant differences between test and retest data were found (p<0.05), showing a high level of reliability. Besides, moderate to high intraclass correlation coefficients (ICCs) (from 0.74 to 0.96) were obtained for all variables whereas weak to moderate ICCs (from 0.29 to 0.79) were obtained for force and power during the countermovement jump. With regards to validity, the difference between the two devices was not significant for 5 hops in place height (1.8 cm), force during squat (-1.4 N · kg-1) and countermovement (0.1 N · kg-1) jumps, leg stiffness (7.8 kN · m-1) and reactivity index (0.4). So, the measurements of these variables with this accelerometer are valid, which is not the case for the other variables. The main causes of non-validity for velocity, power and contact time assessment are temporal biases of the takeoff and touchdown moments detection.
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Biology of Sport, Vol. 31 No1, 2014 55
Validation of an accelerometric device
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Mohamed-Amine Choukou
Université de Paris Sud, Bât 335
- 91 405 Orsay Cedex
Phone number:
33 (0)1 69 15 73 81
Email: choukouamine@gmail.com
Accepted
for publication
21.12.2013
INTRODUCTION
Accurate assessment of biomechanical properties of the human
lower limb in eld conditions interests not only sport scientists,
but also coaches and practitioners since it reects, for instance,
the efciency of training programmes. For that aim, sport experts
typically use valid laboratory-based instruments such as the
different types of force platforms (PF) [1,9,14,19,22-24,26,32],
photoelectric cells [6,10,21] and contact mats [5,16,34].
Nowadays, ever-expanding devices make it possible to assess
lower limb properties in eld conditions. One of these measurement
tools is the Myotest® (Myotest SA, Switzerland), which consists of
a transportable and autonomous 3D accelerometric system (AS).
AS is more involved than just acquiring and recording signals.
It is a data logger allowing one to instantaneously evaluate the
following variables from acceleration data:
a. jumping height (H),
b. vertical force (Fv) and power (P),
c. leg stiffness (kleg) and reactivity index (RI).
Accuracy of AS has been recently studied in the literature,
showing comparison with photoelectric cells for jump height
RELIABILITY AND VALIDITY OF AN ACCELE-
ROMETRIC SYSTEM FOR ASSESSING VERTICAL
JUMPING PERFORMANCE
AUTHORS: Choukou M.-A.1,2, Laffaye G.1, Taiar R.2
1 Laboratoire Contrôle Moteur et Perception, Université de Paris Sud
2 Laboratoire de Biomécanique, Université de Reims Champagne Ardenne
ABSTRACT: The validity of an accelerometric system (Myotest©) for assessing vertical jump height, vertical force
and power, leg stiffness and reactivity index was examined. 20 healthy males performed 3ד5 hops in place”,
3ד1 squat jump” and 3× “1 countermovement jump” during 2 test-retest sessions. The variables were
simultaneously assessed using an accelerometer and a force platform at a frequency of 0.5 and 1 kHz, respectively.
Both reliability and validity of the accelerometric system were studied. No signicant differences between test
and retest data were found (p<0.05), showing a high level of reliability. Besides, moderate to high intraclass
correlation coefcients (ICCs) (from 0.74 to 0.96) were obtained for all variables whereas weak to moderate
ICCs (from 0.29 to 0.79) were obtained for force and power during the countermovement jump. With regards
to validity, the difference between the two devices was not signicant for 5 hops in place height (1.8cm), force
during squat (-1.4N · kg-1) and countermovement (0.1N · kg-1) jumps, leg stiffness (7.8kN · m-1) and reactivity
index (0.4). So, the measurements of these variables with this accelerometer are valid, which is not the case for
the other variables. The main causes of non-validity for velocity, power and contact time assessment are temporal
biases of the takeoff and touchdown moments detection.
KEY WORDS: measurement, biomechanics, precision, leg stiffness, in-situ
assessment
[10,33], and with a force plate for assessing the
force and power during squat and bench press [15]. However,
comparison of AS and PF has never been done to demonstrate
the quality level of the AS measurements compared to PF. For that
aim, sport experts typically use valid laboratory-based instruments
such as the different types of force platforms
[1,9,12,17,20-
22,24,32]. Moreover, the reliability and validity of AS for
assessing leg stiffness and reactivity need to be investigated.
Basically, vertical jump performance corresponds to the difference
between the centre of mass position at the standing posture and its
position at the peak of the jump, which could be estimated using
the ight time (FT) method [5,20,29]. Fv corresponds to product of
body mass (m) and vertical acceleration (av) according to Newton’s
Second Law. Besides, power is equal to the product of force and
velocity, which are both measurable from acceleration data. As regards
leg stiffness, it corresponds to the ratio of Fv to the displacement(CoM)
of the centre of mass (CoM) according to the widely used spring-mass
model of McMahon et al. [30]. The latter considers the human
lower limb as a linear vertical spring supporting the whole body
Original Paper Biol. Sport 2014;31:55-62
DOI: 10.5604/20831862.1086733
56
Choukou M.-A. et al.
mass(i.e. m) and that the actions of the lower limb segments are
integrated once. Thus, the whole lower limb behaves like a linear
mechanical spring, that is, the spring constant (k) represents the
lower limb stiffness (i.e. kleg).
Before using the AS for scientic purposes, it would be essential
to verify its ability to reect what it is designed to measure [4].
Therefore, the aim of this study was to investigate the reliability and
validity of the accelerometric system for assessing H, F and P as well
as kleg and RI. Three types of standard vertical jump tasks were
proposed for examining the device: 5 maximal hopping in place (5H),
1 single countermovement jump (CMJ), and 1 single squat jump
(SJ). In this perspective, the different measurements obtained by the
AS were compared to those obtained by the PF.
MATERIALS AND METHODS
Participants. Twenty males took part in this study. The participants
were physical education students and physiotherapists (age: 27 ±
6
years, body mass: 74.52 ± 7.16 kg and height: 1.78 ± 0.06 m).
They were all amateur sportsman who train once or twice per week.
None of them was involved in a jump-based activity. Subjects refrained
from drinking alcohol or caffeine-containing beverages for 24 hours
before testing, to avoid any interference in the experiment. Each
subject completed all trials in the same time period of test days to
eliminate any inuence of circadian variation. The temperature of the
room was the same at each session (22°C). The experimental proto-
col was approved by the ethics committee of Université Paris-Sud
and according to the ethical principles laid out in the 2013 revision
of the Declaration of Helsinki. All participants gave their written con-
sent to the experiment after having been informed of the aims and
the risks of testing procedures. In addition, they kindly accepted to
wear the same clothes and shoes for both test and retest sessions.
Procedures
The experiment consists of two identical test and retest sessions
separated by 2-3 days. For both sessions, the participants were
tested by the same experimenters and at the same hour of the day
in order to control the circadian uctuation [3]. Each session consists
of three repetitions of each of the following tasks: 5H, a single SJ
and a single CMJ. Participants were equipped with a Myotest® device
(length × width × depth: 9.5 × 5 × 1 cm, mass: 60g). The device
was attached to a belt and vertically xed on the middle of the
lower back (Figure 1). The trials were simultaneously recorded by
the accelerometric system at a sampling frequency of 500 Hz and
by a 0.4×0.4 m force plate (AMTI OR 6-5, Watertown, MA, USA)
at a sampling frequency of 1000 Hz (Figure 1). Before each trial,
they were asked to stand over the PF assuming a vertical posture,
as well as to keep hands placed on their waist during the three
jumping conditions in order to avoid upper-body interference caused
by arm swing [27]. After the touch-down of each of the tasks, the
participants were instructed to reassume a vertical standing posture
and to wait for the nal acoustic signal.
The rest between two consecutive jump trials of the same set was
approximately 30 seconds and the rest between sets (5H, SJ, or
CMJ) was 3 minutes. After performing their standardized warm-up
and prior testing, the subjects completed familiarization trials for 5H,
SJ and CMJ by following instructions and feedback given by the
experimenters. Only successful trials were taken into account. The
participants were kindly asked to respect the protocol and to repeat
the trial if a jump was incorrectly performed. This validation protocol
respected the recommendations of Atkinson and Nevill [4].
Tasks
5H protocol: For the 5H test, the participants were asked
to hop in place 6 times as high as possible while reducing
the ground contact time [16]. The rst hop served as a CMJ
(impetus) and was consequently excluded from analysis. The
remaining 5 effective jumps were retained and averaged for
analysis (mean of the 5 hops). The instructions given before
the 5H test were as follows: “Upon the acoustic signal,
perform an initial countermovement jump (impetus), after
which perform 6 hops in place, with minimal knee exion
and a maximal jumping height. After the 6th jump, reassume
a vertical standing posture and wait for nal acoustic signal.”
Multiple trials were performed under researcher supervision
in order to familiarize the participants with this kind of
hopping task and to optimize the leg stiffness by reducing
the effect of technique. The recording of data began only if
the technique of bouncing was acquired.
CMJ protocol: In order to perform a countermovement
jump, the participants were instructed to freely ex the
knees and to jump once as high as possible. This procedure
corresponds to the instructions advised by the manufacturer.
SJ protocol: For the squat jump test, the participants were
asked to reach and hold a semi-squat position [~ 90° knee
FIG.
1.
STANDING POSITION AT THE BEGINNING OF ALL JUMP TASKS
(LEFT SIDE) AND SEMI-SQUAT POSITION REACHED AND HELD DURING
SQUAT JUMP TEST (RIGHT SIDE).
Note: The gure shows the set square used to control the knee angle during
SJ and the attachment of the accelerometric system to the lower back
Biology of Sport, Vol. 31 No1, 2014
57
Validation of an accelerometric device
exion controlled by a 0.4×0.4 m set square (maintained
by the experimenter) as biofeedback] (Figure 1) until an
acoustic signal was given, and to jump once as high as
possible without performing any countermovement before
jumping.
Jump height assessment
The vertical jump height was assessed using the FT data [5,20,
29], as follows:
(in cm) (Equation 1);
where g = acceleration due to gravity.
For PF measurements, FT corresponds to the lapse of time when
the vertical ground reaction force is equal to zero. However,
AS considers the FT as time duration that elapses between the mo-
ment of maximal vertical velocity (before take-off) and the moment
of minimal velocity after touch-down (tvmin afterpeak). Then the vertical
jump height is estimated by AS as follows:
(in cm) (Equation 2);
Vertical force and power assessment
Vertical force (Equation 3) and power (Equation 4) were assessed
using the following equations:
in N · kg-1 (Equation 3)
in W · kg-1 (Equation 4)
The vertical velocity (vv) was calculated from the integration of av
data as proposed by Cavagna for the force platform [11] and as
proposed by the device’s manufacturer for the accelerometer as fol-
lows:
For PF measurements: in cm · s-1. (Equation 5)
For AS: in cm · s-1.
To reduce the error due to the integration process, the frequency
of acquisition for both devices was calibrated on the highest possible
value: 1000Hz for the force platform and 500 Hz for the acceler-
ometer.
Leg stiffness and reactivity index
For PF measurements, leg stiffness (kN · m-1) was calculated as the
ratio of maximal Fv (in kN) to CoM [30]. However, for AS, leg stiff-
ness was calculated as the ratio of concentric force (when vv is
equal to zero) to CoM, as proposed by Dalleau et al. [16]. CoM
was calculated by integrating vv during the grounding phase from
its minimal position (i.e. tvmin afterpeak) to its zero position (v0).
In order to check the linearity of the lower limb movements and
its accordance with theoretical linear spring behaviour, the linear-
ity of the curve of Fv in function of CoM was veried (Figure 2).
An r²>.80 was chosen as a threshold to consider the bouncing
behaviour as a linear spring oscillation. All the retained jumps met
this criterion.
Reactivity index corresponds to the ratio of FT to contact time(CT).
CT corresponds to the time of presence of a ground reaction force
signal over a jump (oscillation period) for PF measurement, whereas
it corresponds to the time that elapses from the position of the
maximal velocity (
maxv
t
) to
afterpeakv
t
min
(see Equation 2).
Statistical analysis
All descriptive statistics were used to verify whether the basic as-
sumption of normality of all studied variables was met. Shapiro-Wilk
tests revealed no abnormal data pattern. The statistical tests were
processed via SPSS® (version 16.0, Chicago, IL). In addition, statis-
tical power and effect sizes were calculated using G*Power 3. Statis-
tical power was 1 for all jump modalities with a sample size inferior
to 20 subjects and large effect sizes.
The test-retest reliability of the accelerometric system was assessed
with the intraclass correlation coefcient (ICC) (2, 1) (relative reli-
ability) [8] in order to describe how strongly individual scores in the
same session and throughout test and retest sessions resembled each
other. An ICC of r=0.8 represents good agreement, and a value r>0.9
is considered to indicate excellent agreement [18]. Coefcients of
variation (CV %) were also calculated to measure the dispersion of
the scores of the test and retest. A coefcient of variation CV 10%
was interpreted as an insignicant difference between test and retest
sessions [4]. Besides, the method of Bland and Altman (absolute
reliability) [7] allowed determination of test-retest systematic bias ±
random error as well as lower and upper limits of agreement (LoA).
According to Atkinson and Nevill, systematic bias refers to the gen-
eral trend for the measurements to be different in a particular direction
(either positive: upper LoA or negative: lower LoA) whereas the random
error refers to the degree to which the repeated measurements vary
for the individuals [4]. Paired Student T-tests were used to detect any
signicant systematic bias between the scores of the two sessions
(test and retest).
FIG.
2.
TYPICAL SHAPE OF EXPERIMENTAL VERTICAL FORCE TO CENTRE
OF MASS DISPLACEMENT CURVE, REPRESENTING A TYPICAL LOWER
LIMB FLEXION-EXTENSION DURING THE HOPPING IN PLACE TEST.
Note: The dotted line represents the leg stiffness.
58
Choukou M.-A. et al.
The concurrent validity was assessed using ICCs (2, 1) [8] in order
to describe how strongly individual scores obtained by the two
methods resembled each other. The Bland-Altman method allowed
determination of systematic bias between the accelerometric
system and the force platform random error) and the lower
and upper LoA [7]. Besides, coefcients of correlation (R2)
of the between-device differences were plotted. The level of
heteroscedasticity was set at R2 = 0.1; thus, a coefcient of
correlation less than 0.1 (R2 <0.1) means that the variables are
homoscedastic [4]. Additionally, independent-samples Student
T-tests were used in order to detect any signicant systematic bias
between AS and PF data at p<0.05
.
RESULTS
The results are shown in Table 1 and Table 2.
Test-retest reliability
No signicant differences between the test and retest were
reported for all studied variables (p>0.05) (Table 1). All CVs were
lower than 10% for all studied variables except for Vcmj and Pcmj,
which were 11.09% and 13.36%, respectively. Besides, the ICC
values were between 0.74 and 0.89 for jumping heights, and
0.86 and 0.96 for reactivity index and leg stiffness, which was
not the case for force and power during the countermovement
jump (0.29 < ICCs < 0.79).
CV% ICC (95% CI) Systematic Bias Random Error Student T test
Jump Height
5H-H (cm) 6.42 0.74 - 0.85 1.1 4.4 NS
SJ-H (cm) 4.25 0.82 - 0.84 -1 6.2 NS
CMJ-H (cm) 4.31 0.80 - 0.89 - 0.2 4.8 NS
Force, Velocity & Power
Fsj (N · kg-1) 3.30 0.85 - 0.92 - 0.5 1.7 NS
Vsj (cm · s-1) 6.41 0.85 - 0.92 - 7.8 29.7 NS
Psj (W · kg-1) 6.03 0.74 - 0.83 - 1.8 6.4 NS
Fcmj (N · kg-1) 4.24 0.66 - 0.79 - 0.6 2.3 NS
Vcmj (cm · s-1) 11.09 0.66 - 0.42 3.8 22.1 NS
Pcmj (W · kg-1) 13.36 0.29 - 0.45 2.8 6.9 NS
Contact Time, Leg Stiffness & Reactivity Index
CT (ms) 5.70 0.88 - 0.93 + 3.9 19.4 NS
IR 7.86 0.94 - 0.96 - 0.2 0.3 NS
kleg (kN · m-1) 6.03 0.86 - 0.92 + 2.8 8 NS
ICC
(95 % CI)
Systematic Bias
(cm)
Random Error
(cm)
Lower LoA
(cm)
Upper LoA
(cm)
Jump Height
5H-H (cm) 0.9 - 0.94 + 1.8 ± 15.3 -13.4 17.1
SJ-H (cm) 0.71 - 0.79 + 5.6 * ± 11.7 -6.1 17.4
CMJ-H (cm) 0.79 - 0.86 + 3.6 * ± 13.1 -10.7 17.4
Force, Velocity & Power
Fsj (N · kg-1) 0.63 - 0.78 - 1.4 ± 2.4 - 6.6 3.8
Vsj (cm · s-1) 0.32 - 0.35 + 11.1 * ± 4.4 - 12.9 35.1
Psj (W · kg-1) 0.18 - 0.31 + 11.7 * ± 16.9 - 22.4 46
Fcmj (N · kg-1) 0.68 - 0.79 + 0.1 ± 3 - 6.3 6.6
Vcmj (cm · s-1) 0.37 - 0.47 + 15.8 * ± 14.4 - 19.7 51.4
Pcmj (W · kg-1) 0.19 - 0.46 + 16.7 * ± 21.6 - 38 71.6
Contact Time, Leg Stiffness & Reactivity Index
CT (ms) 0.73 - 0.91 - 69 * ± 21 7 131
IR 0.74 - 0.80 + 0.4 ± 0.9 -1.5 2.4
kleg (kN · m-1) 0.76 - 0.87 + 7.8 ± 12.7 -23.6 39.3
TABLE 2.
CONCURRENT VALIDITY OF ACCELEROMETRIC SYSTEM VS FORCE PLATFORM
TABLE 1.
TEST-RETEST RELIABILITY OF ACCELEROMETRIC SYSTEM
Note: NS: no signicant difference between test and retest mean values (p < .05)
Note: the signes (+) and (-) respectively refer to a higher and a lower values of AS compared to the reference value obtained by PF. * Statistically
signicant systematic bias between both systems at p < .05
Biology of Sport, Vol. 31 No1, 2014
59
Validation of an accelerometric device
Concurrent validity
Regardless of signicance level, the mean values of AS were
higher than those of PF for all studied variables except force
during SJ and CT during hopping in place, as shown in Table 2.
The Student T-test showed signicant differences between AS
and PF for jump height during SJ (SJ-H) and CMJ (CMJ-H), and
for vertical velocity and power during SJ and CMJ. The difference
between both devices was also signicant for CT assessment with
lower values when using AS (Table 2).
DISCUSSION
The aim of this validation study was to investigate the reliability of
an autonomous and transportable accelerometric system, and its
validity compared to the force platform for estimating (a) vertical
jump height, (b) vertical force and power, and (c) leg stiffness and
reactivity index during vertical jump tasks.
AS showed high test-retest reliability (Table 1) for assessing (a),
(b) and (c). In addition, the results showed good CVs (< 10%) for
all studied variables, except for velocity and power during the coun-
termovement jump. The ICCs showed moderate to high values for
(a) [from 0.74 to 0.89], (c) [from 0.86 to 0.96] and force, velocity
and power during SJ [from 0.74 to 0.92], by following the criterion
of the literature regarding the magnitude of the group-levelcorrelation
[18]. Our results are in accordance with the literature regarding the
jumping height recorded during hopping in place (ICC: 0.86-0.96,
CV: 5.1%), SJ (ICC: 0.86-0.96, CV: 4.93%) and CMJ (ICC: 0.93–
0.98, CV: 3.62%) [10].
The results showed that AS is able to reproduce the same mea-
surement precisions at different moments for the above-mentioned
variables. Considering validity, PF and AS showed good accuracy as
demonstrated by good ICC (>0.73) and low bias (<1%) for 5H
height, and leg stiffness and reactivity index, moderate ICC (>0.63)
for force during SJ and CMJ, and insignicant T-test, which shows
a strong association with the reference method. What are the pos-
sible explanations of the lack of validity for the other parameters,
i.e. (a) SJ and CMJ height, (b) velocity and power during both SJ
and CMJ, and (c) CT during 5H?
AS validity for vertical jump height assessment
As regards jumping heights measurement, the systematic biases of
SJ height (5.63 cm) and CMJ height (3.66 cm) were signicant
(p<0.05), with weak to moderate ICC values (0.71<ICC<0.86).
These biases seem to be related to FT estimation, which was
different according to each assessment device. In the ight
time method (Equation 1) [5, 20], it is assumed that the CoM
position at takeoff is the same as the CoM position at landing. So,
the vertical jump height corresponds to the CoM elevation between
the instant of landing and the instant of takeoff—namely, the ight
time.
When using the force platform, FT is measured as the difference
between the two instants of “actual” take off and “actual” land-
ing(Figure 3); that is, when force is equal to zero [29]. This is not
the case for AS, which considers FT as the lapse of time between
the maximum value of positive velocity and the minimum value of
negative velocity, which are both accessible from the velocity-time
curve (Figure 3), thus estimating the “effective” takeoff and landing,
respectively. This method could induce bias of ight time measure-
ment between AS and PF. According to our data, a maximal veloc-
ity could be achieved at the end of the concentric phase shortly
before the actual takeoff (Figure 3). This could be considered as the
beginning of ight time, which induces a slight underestimation at
the start of the takeoff. That was also the case of the effective land-
ing, which occurs shortly after the actual landing, inducing a slight
overestimation at the start of the touchdown (Figure 3). This has
also been reported by Casartelli et al., who compared the jumping
heights obtained by AS to those obtained by photoelectric cells [10].
Both of these approximations involve an FT overestimation which
reects the difference of measurements between AS and PF.
Differences of AS validity level between the three jumping mo-
dalities are mainly dependent on the prior jumping concentric phase
(propulsive phase of the jump), which is specic to each type of
jump. As shown in the method section, the jumping height was
measured using the ight time data (Equation 2).
The sources of error could be the detection of the minimum value
of negative velocity (vminafterpeak), which is considered as the “effective
touchdown” while calculating FT, and the detection of the maximum
FIG.
3.
A COUNTERMOVEMENT JUMP AS RECORDED BY THE AS AND PF.
Note: The upper curve represents the force (Fz) and its corresponding instants
of takeoff and touchdown. The lower curve shows the velocity (which results
from the double integration of force) and its corresponding takeoff and
touchdown. The ight time is slightly overestimated when using velocity data.
60
Choukou M.-A. et al.
value of positive velocity (vmax), which is considered as the “effective
takeoff”. A maximal velocity could be achieved at the end of the
concentric phase shortly before the actual takeoff. This could be
considered as the beginning of the ight time, which induces a slight
underestimation of the instant of the takeoff. That was also the case
of the effective landing, which is considered to occur shortly after
the actual landing, inducing a slight overestimation of the instant of
touchdown, as previously reported by Casartelli et al., who compared
AS jumping scores to those obtained by photoelectric cells. Both of
these approximations involve an overestimation of ight time, which
could explain the countermovement jump height difference (3.6 cm).
It is important to mention that the mean value of CMJ height mea-
sured in this study was lower than the values obtained in university
students (45-46 cm) [31] and was close to the jumping height of
male rhythmic gymnasts (36 cm) [17], and 14-year-old boys (36.9
cm) using the Ergojump Bosco System [34], showing that our par-
ticipants achieved moderate CMJ heights. Based on our results, we
suggest that a similar overestimation would be observed in partici-
pants within the range of values from 22.6 to 51.1 cm, close to our
study. Additionally to its high reproducibility for assessing the coun-
termovement jump height, the validity of AS is deemed acceptable
by taking into account the amount of systematic bias (3-4 cm) re-
corded in this study, the variability of the jumping behaviours and
the practical purposes of this jumping test.
Therefore, the ight time is more likely to be the major source of
bias since it is dependent on the jumping modalities. Hopping in
place particularly required a very short contact time (about 90 ms in
this study), which is why AS encountered low probability to make
errors while detecting vmax. That is why the difference of the hopping
in place heights between the two devices was very low (1.8 cm),
showing that “effective takeoffwas close to “actual takeoff”. There-
fore, the hopping in place height could be estimated using an ac-
celerometer system with the insurance that the ight time is as near
as possible from the lapse of time between actual takeoff and touch-
down.
That was not the case of squat and countermovement jump heights
estimation, which showed high and signicant systematic biases
(Table 2). The protocol of squat and countermovement jumps could
be the reason for ight time overestimations. Indeed, knee angle has
to be 90° prior to jumping during SJ and was freely chosen during
CMJ. Mechanical variations due to these modalities seem to increase
the probability of error while detecting vmax, probably because of lon-
ger contact time due to knee exion compared to hopping in place. In
spite of the stabilization moment at the end of lowering during a squat
jump trial, the accelerometric system showed error while estimating
FT. The static nature of the squat jump does not seem to reduce
mechanical variability compared to the countermovement jump as
one might imagine. Both modalities affected the moment of vmax.
AS validity for force and power assessment
The difference of velocity and power estimations between AS and
PF was signicant (p < 0.05) with higher values coming from
the AS during the SJ task (11.1 cm and 11.7 cm, respectively)
as well as CMJ (15.8 and 16.7 cm, respectively), and weak
ICCs (from 0.18 to 0.47). The main reason seems to be related
to the heteroscedasticity of the data and the specicity of the
task. The data of velocity were homoscedastic (R2 = 0.01) for Vsj
and slightly heteroscedastic (R2 = 0.11) for Vcmj. The difference
between AS and PF was signicantly high (Table 2), showing
poor validity of AS for assessing velocity during squat and
countermovement jumps (p < 0.05).
The heteroscedasticity of velocity scores during the countermove-
ment jump could be explained by the specicity of the countermove-
ment jump technique. Moreover, this could be caused by the con-
straint of the task, which consisted in jumping with hands over the
waist over a force platform. The previous literature showed that,
without arm motion, the eccentric phase is used in order to maintain
the balance of the system rather than shortening this phase. Conse-
quently, it is difcult for AS to nd the real beginning of the concen-
tric phase, which affects the initial value of velocity [2, 25]. The poor
validity of AS for assessing power during squat and countermovement
jumps seems to be the direct consequence of biases in velocity as-
sessment since it corresponds to the product of force, which is esti-
mated at its just value, times the velocity which is overestimated
when assessed by AS.
AS validity for leg stiffness and reactivity assessment
AS was deemed valid for assessing kleg, as shown in Table 2.
However, its validity for assessing CT remains critical because
it systematically underestimated the “actual” values of CT by
69 ms. This was due to the CT calculation protocol applied
by AS. In this method, CT was considered as the lapse of time
between the minimal position of velocity after touchdown and its
maximal value during the successive takeoff, i.e., when force is
equal to body weight (F = m × g). This was not the case for PF,
FIG.
4.
COMPARISON BETWEEN THE ACTUAL AND EFFECTIVE CONTACT
TIME AS MEASURED BY THE FORCE PLATE AND THE ACCELEROMETRIC
SYSTEM, RESPECTIVELY.
Note: The dashed line represents the criteria of determination of touch-down
and take-off according to the “m × g” line as assumed by AS. The gure
shows that the accelerometric system underestimates the contact time
(effective) compared to the force platform (actual contact time).
Biology of Sport, Vol. 31 No1, 2014
61
Validation of an accelerometric device
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REFERENCES
which determines the “actual” CT, i.e. the time between actual
touch-down and take-off from the GRF-time curve, irrespective of
the magnitude of reaction force exerted on the ground [12,13].
In contrast, AS measures the “effective” CT, which is considered
as the period of time during which vertical force is equal to or
greater than body weight (F m × g) (Figure 4). Obviously, these
biases have a knock-on effect on the reactivity index since its
calculation uses the contact time data. To conclude, AS could
be used for assessing contact time by taking into account this
systematic underestimation.
CONCLUSIONS
The aim of this study was to evaluate the reliability of an
accelerometric system and its validity compared to a force
platform for assessing vertical jump performance. The results
showed a high level of reliability for assessing jumping height,
leg stiffness, reactivity index, velocity and power during squat
jump and force measurements using the accelerometric system.
However, force and power measurements were weakly reliable.
The accelerometric system was deemed valid for assessing
hopping in place height, force during squat and countermovement
jumps as well as leg stiffness and reactivity index. However, the
evaluation of jumping height, velocity and power during both
squat and countermovement jump was not valid. The main
causes of non-validity for velocity and power as well as contact
time assessment are due to biases occurring while detecting
the takeoff and touchdown moments. That being said, the
accelerometric system remains highly reliable for assessing the
studied variables. Thus, it could be useful notably to follow up
rehabilitation programmes or for long-term athletic monitoring.
Funding: This work has not received any funding resources
Conicts of interest: none
62
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Supplementary resource (1)

Data
February 2014
mohamed amine choukou · Guillaume Laffaye · redha taiar
... The strong validation and reliability found is similar to data reported regarding other jumping measuring systems in previous studies. 3,8,10,18,19 Several studies have examined the validity of different methods of analysis of the vertical jump in comparison to the force platform. 3,8,10,18,19 Force platforms are able to measure the forces generated during vertical jumps in the eccentric and concentric phase of the movement, as well as the velocity and power production. ...
... 3,8,10,18,19 Several studies have examined the validity of different methods of analysis of the vertical jump in comparison to the force platform. 3,8,10,18,19 Force platforms are able to measure the forces generated during vertical jumps in the eccentric and concentric phase of the movement, as well as the velocity and power production. 20 Therefore, it is considered the ''gold standard.'' ...
... These results are consistent for previous research conducted with Kistler Quattro-Jump and Optojump Next 10 where STE was also small for the analyzed devices and similar to those found in other jump height measurement devices (0.9-1.23 cm). 3,8,18,19 Therefore, it can be considered that The ADR Jumping device always measures the same event in the same way. ...
Article
The vertical jump is one of the most used testing movements to assess athlete's physical performance and fatigue status in several sports. However, low-cost, portable, field-based, and reliable methods are needed to measure jumping performance. The aim of the current investigation was to assess the validity and reliability of a new photoelectric cells device (ADR) for measuring the vertical jump height. Twenty-three trained male participants (age: 24.8 6 5.2 years, body mass: 74.2 6 7.3 kg; height: 1.76 6 0.04 m) performed four maximal countermovement jumps (CMJ). Flight time-derived jump height was extracted simultaneously from three devices including a force plate (FP) (Kistler Quattro-Jump, criterion measurement) and two photoelectric cells (PC) devices (ADR and Optojump). The ADR mean CMJ height measurements demonstrated substantial validity compared to both FP and Optojump (r = 0.98 p \ 0.01). Intraclass correlation coefficients (ICCs) for reliability were classified as good to excellent for the three devices (0.986-0.994). All devices showed similar coefficients of variation (CV%), classified as very good (3.21-3.85), whereas observed standardized typical error values (STE) were small (1.29-1.39). The ADR Jumping device can be considered an affordable, reliable, and valid method to measure vertical jump height thereby making it a practical resource for coaches when monitoring the training process.
... One obvious limitation of the inground force platforms is that they are not portable, and therefore, measurements can only take place in a laboratory environment. However, several instruments provide a valid and reliable jump height evaluation, such as camera-based methods [15], accelerometers [18], and infrared platforms [19]. ...
... The rapid evolution of new technologies suggests that a contemporary smartphone includes a high-speed camera with high-speed frequency, thus reducing the measurement error of the My Jump 2 application. Several research papers have compared portable instruments with unportable force plates, with a mean difference between −1.06 and 11.7 cm for CMJ performance (jump height) [18,19,35], which is in agreement with our study. Differences between portable instruments and force plates could be attributed to the fact that the sampling rate and athletic performance vary in many study designs. ...
Article
Full-text available
Physical fitness is of great significance to athletes in both single-player and team sports. The countermovement jump (CMJ) is one of the most commonly applied jump tests for assessing the mechanical capacities of the lower extremities. The KForce Plates system is a portable force platform that sends action-time audio and visual biofeedback to a smartphone or tablet through the KForce application, making it a suitable instrument for assessing the CMJ. The aim of the present study was to evaluate the test–retest reliability and validity of the portable force platform (KForce Plates) in the evaluation of the CMJ in collegiate athletes compared to a validated application, My Jump 2. Thirty-four collegiate professional athletes, deriving from various sports backgrounds, participated in the present study. The CMJs were reported with the portable KForce Plates and the simultaneous use of the ‘My Jump 2’ application using an iPhone 13 between days 1 and 7. Our findings revealed high test–retest reliability (ICC = 1.00 and ICC = 0.99) in-between measurements. High correlations were monitored amongst the portable KForce plates and the My Jump 2 application for measuring the CMJ (r = 0.999, p = 0.001). The Bland–Altman plot exhibits the limits of agreement amongst the portable KForce plates and the My Jump 2 application, where the bulk of the data are within the 95% CIs with an agreement of ≈1 cm. Our findings suggest that the portable KForce Plates system is a reliable and valid instrument and, therefore, can be used by experts in the sports field.
... To the present authors' knowledge, very few studies have determined the reliability of only GCT in reactive hopping. For instance, Lloyd and colleagues (2009) found CVs of 30-36% in total contact time in adolescent subjects, and Choukou et al. (2014) an ICC 95% CI of 0.88-0.93 but with the use of an accelerometric system and not a force plate. ...
... Reactive hopping, a type of jumping that relies on the stretch-shortening cycle (SSC), is commonly used not only to measure the leg's reactive force but also to calculate the leg or vertical stiffness(Butler et al., 2003; Maloney & Fletcher, 2021) which are key factors for performance in sprinting(Bret et al., 2002;Chelly & Denis, 2001; Hobara et al., 2010), running (Hobara et al., 2008, and other jumping types of sports(Seyfarth et al., 1999).Moreover, the maximal voluntary contraction (MVC) of the handgrip (HG) and knee extension (KE) is commonly used in different populations to measure and characterize the overall upper and lower extremity muscle strength(Bohannon et al., 2012;. HG strength is a particularly important reference measurement in older populations to identify a poor health status(Bohannon, 2019).Test-retest reliability and sensitivity have been proven to be excellent for all these tests over a period of days or one week(Arteaga et al., 2000;Bohannon & Schaubert, 2005;Choukou et al., 2014;Comyns et al., 2019;Diggin et al., 2016;Dirnberger et al., 2012; Heishman et al., 2020; Hogrel, 2015; Lorimer et al., 2018; Markovic et al., 2004; Moir et al., 2008; Thomas et al., 2017;Veilleux & Rauch, 2010). However, to the best of our knowledge, only a few studies have implemented intervals of more than oneweek between measurements to test reliability and sensitivity, although many longitudinal training or intervention studies run over a period of 6 to 12 weeks. ...
Thesis
In the scientific community, a constant effort is made to better understand how the human body works and adapts to different circumstances. And particularly exercise physiology aims at clarifying how the body responds to physical activity and the mechanisms that cause training adaptations. Similarly, over the last more than 50 years, since the beginning of manned space exploration, space scientists have put a great amount of effort into understanding the effects of microgravity on the human body. Interestingly, at the centre of these two research areas, although with apparently different populations, the role of exercise and physical activity is a main topic. This intersection point is the basis for this dissertation. Therefore, the purpose of the present thesis was to explore the different physiological effects, specifically those in the neuromuscular and cardiorespiratory systems, that different intensities of activity—ranging from full inactivity at bed rest (BR) to high levels of activity with high-intensity interval training (HIIT)—exert on the human body. To achieve this, three research projects were conducted. The first study represented the statistical basis to establish the overall reliability and sensitivity of some of the strength and power tests that would be used in the subsequent two studies, and the effect that time plays between testing sessions of these measurements. The results showed that over the course of the 9 weeks, most measurements, but not all, were sensitive and reliable. With more consistent results achieved using the average of results rather than the best result per session. From an applied perspective, these findings have practical applications in increasing confidence in the results of the tests, providing valuable data for sample size calculations, estimating error, and determining if the results found from an intervention are due to error or an actual effect. The second project provided a starting point in the continuum of activity with the deconditioning of the human body. The aim of this study was to assess changes in the participants’ cardiovascular and neuromuscular performance before and after bed rest, and the effect of artificial gravity (AG) as a countermeasure. The results showed that participants in all groups, including those exposed to AG, suffered from severe deconditioning. Nevertheless, AG was partially able to mitigate the physiological consequences caused by BR. Therefore, we concluded that AG would have to be coupled with other forms of exercise to be considered an integral countermeasure for the deconditioning of the human body under BR and microgravity conditions. Finally, the third study contributed key data on the other end of the activity continuum. Its goal was to evaluate whether a jump HIIT could improve aerobic capacity and neuromuscular performance in a recreationally active population in comparison to a running HIIT. The results exhibited that despite identical programming in both HIIT intervention groups (e.g., training frequency, number of series, and work/rest durations), each exercise modality produced different adaptations: the jump training increased leg strength and the running group aerobic capacity. In the jumping group, there was also an important difference in the perceived difficulty of the training sessions, depending on the amount of time between consecutive jumps. With this in mind, it is clear that not only the choice of exercise but also subtle differences in how an exercise is performed can profoundly affect the training adaptations that one attains. All in all, these findings underline the importance of choosing the appropriate exercise type and modality, according to the adaptations that are desired to be obtained. From the findings of this dissertation, it is clear that insights from BR studies go beyond its application to the protection of astronauts in space. This approach is a great tool to further investigate and understand how the human body deconditions, adapts, and rehabilitates. The combined results of the presented BR and HIIT studies, along with related literature, suggest that to prevent deconditioning or produce adaptations in the neuromuscular system, fast and powerful exercises that produce high-strain rates, are essential. And that the cardiorespiratory system appears to be quite responsive to exercise stimulus, even under complete inactivity, provided that the right intensity is achieved.
... Previously validated systems that provide reliable information (Pueo et al., 2020) and are based on flight time (FT) calculations (Bosco et al., 1983;Linthorne, 2001;Pueo et al., 2020) have been used and have demonstrated practicality (Allen et al., 2012;Gillen et al., 2019;Frayne et al., 2021;Montalvo et al., 2021). With the advancements in science and technology, mobile applications (Haynes et al., 2019) and inertial measurement units with integrated accelerometers, gyroscopes and magnetometers are being used to measure jump analyses (Choukou et al., 2014;O'Reilly et al., 2017a;O'Reilly et al., 2017b;O'Reilly et al., 2018;Johnston et al., 2019). Studies have demonstrated the validity and reliability of different accelerometer devices for velocity-based training (Balsalobre-Fernandez et al., 2016;Hughes et al., 2019;Lake et al., 2019), injury detection , and monitoring sleep quality (Reimers et al., 2021) with high accuracy. ...
... Studies have demonstrated the validity and reliability of different accelerometer devices for velocity-based training (Balsalobre-Fernandez et al., 2016;Hughes et al., 2019;Lake et al., 2019), injury detection , and monitoring sleep quality (Reimers et al., 2021) with high accuracy. Additionally, separate investigations have involved the validation of the functionality of these devices for the measurement of jump metrics (Choukou et al., 2014;Lake et al., 2018;Montalvo et al., 2021;Montoro-Bombú et al., 2022). A new commercially available inertial measurement unit (IMU), namely the Output Sport measurement device, has been used for fatigue assessment (Buckley et al., 2017), injury prevention (Whelan et al., 2016), agility (Johnston et al., 2019), velocity-based training (O'Reilly et al., 2015), lower limb exercise assessments (O'Reilly et al., 2017a;O'Reilly et al., 2017b;O'Reilly et al., 2018), and postural control and balance evaluations (Johnston et al., 2019). ...
Article
Full-text available
The devices for measuring plyometric exercise in field conditions are becoming increasingly prevalent in applied research and practice. However, before the use of a device in an applied setting, the validity and reliability of such an instrument must be determined. The study aimed to assess the validity and reliability of the Output Sport, an inertial measurement unit (IMU), through comparisons with a force plate for research purposes. A repeated measure test-retest study was performed. Reliability was assessed during single-session trials (i.e., intrasession reliability). A total of 34 national/university level athletes (13 females, 21 males) performed three drop jumps with a fall from 30 cm while both devices recorded ground contact time (GCT), flight time (FT), jump height (HJ), and reactive strength index (RSI). T-tests demonstrated that data collected from the IMU device were significantly different to the force platform for all reported variables (all p < 0.01). The intraclass correlation coefficients (ICC) demonstrated good-to-excellent reliability, but with a large range of confidence intervals (CI 95%) for GCT (0.825, 0.291-0.930), FT (0.928, 0.756-0.958), HJ (0.921, 0.773-0.964), and RSI (0.772, 0.151-0.907). The Bland-Altman test showed that the device overestimated contact times and underestimated the other variables. Upon landing, greater ground contact times (i.e., ≥0.355ms) were associated with higher reliability. These results suggest that a single IMU can be used to track changes somewhat accurately and reliably in jump metrics, especially when the GCT is greater than 0.355ms. It is recommended that before practitioners and trainers use the device as a cost-effective solution in the field, further research should be carried out to evaluate a range of data on the type of exercise to be performed.
... Their analysis of the Myotest accelerometric system produced flight times that were 6.4% longer than those of the force plate. Similarly, Choukou et al. deemed the Myotest system valid for measuring force production during countermovement jumps, but not for assessing countermovement jump height [11]. Regarding the relatively new V2 accelerometer (Output Sports LTD), there exists minimal inquiry regarding its validity and reliability for assessing vertical jump height. ...
Article
Full-text available
The unremitting development of portable vertical jump equipment emphasizes the need for continual examination of its validity and reliability. Equal representation between sexes should be endorsed in this process to improve precision and application. This study aimed to examine the concurrent validity and reliability of the Exsurgo g-Flight™ photoelectric boxes and the Output Sports V2™ accelerometer for calculating vertical jump height when compared to a dual force plate system (Hawkin Dynamics Force Plate, ME, USA). Twenty (n = 20) female soccer players performed three counter movement jumps on two different sessions for a total of 120 jumps. Comparisons between the criterion method and secondary measures were performed using Bland–Altman plots and were independently examined using a paired samples t-test. Reliability in instrument error was determined by comparing the residuals of each secondary measure over two assessments. Bland–Altman plots revealed ≤ 5.0% of residuals for the accelerometer and photoelectric devices fell outside the limits of agreement. The accelerometer revealed a mean bias (95% CI) of 0.30 ± 0.33 cm, while the photoelectric device demonstrated a negative bias of −1.64 ± 0.45 cm. Mean (± SD) comparisons revealed an overestimation in jump height with the photoelectric device (1.6 ± 4.0 cm, p < 0.0001) and insignificant differences with the accelerometer (0.30 ± 3.7 cm, p > 0.05). Mean differences in residuals between testing dates for secondary measures were insignificant (p ≥ 0.23). Both the photoelectric and accelerometer instruments displayed high reliability, but differences in the accuracy between devices were observed.
... For statistical analysis, we selected the best scores obtained from the two trials. The Myotest Pro system, which has been previously validated for measuring these parameters (Choukou, Laffaye, and Taiar, 2014), was utilized to determine the aforementioned values. In the second session, which took place 72 hours after the control session, participants followed the same warm-up protocol as before. ...
Article
Full-text available
Whole-body vibration (WBV) exercises have been widely recognized for decades as a popular exercise method known to have an impact on athletic performance. However, there is a clear lack of consensus in the existing literature regarding the effects of WBV squat exercises performed at different loads on jump performance, reactive strength index, and leg stiffness associated with this performance. To address this gap, our study aimed to compare the effects of whole-body vibration squat exercises applied at different loads on reactive strength and leg stiffness. For this purpose, we recruited twenty trained male athletes (age: 22.05±3.2 years, height: 177.1±6.5 cm, body mass: 74.5±10.6 kg, training experience: 9.2±3.33 years, training volume: 9.8±6.67 hours per week) to participate in the study. The participants underwent three different test sessions: T1 (sham intervention), T2 (25 Hz, 2 mm), and T3 (50 Hz, 4 mm). These sessions involved squat exercises performed on a whole-body vibration platform for 5 sets of 1 minute each, with 30-second intervals. The squat exercises were conducted at an approximate knee flexion angle of 110°. The three test sessions were spaced 72 hours apart. Immediately after each intervention, the participants' reactive strength index, leg stiffness, ground contact time, and jumping height were examined. The statistical analyses, including one-way repeated measures ANOVA and/or Friedman tests, revealed that there were no statistically significant differences observed between any of the pairs concerning the variables investigated in the study. The study found no statistically significant effect of WBV when applied at various amplitude and frequency combinations on variables such as reactive strength index, leg stiffness, ground contact time, and jumping height. Despite WBV exercises being a well-known training concept, there is still a lack of consensus regarding the optimal parameters, including amplitude, frequency, body position, set, and volume configuration, among others. Replication studies are necessary to further investigate and clarify the effectiveness of WBV exercises on athletic performance.
... The only performance variable that presented a questionable reliability was the leg stiffness (CV = 11%), a variable that is considered as a quantitative measure of the elastic properties of lower body muscles [9]. Although several studies reported similar findings [17,19,34], Heishman et al. [21] argued that leg stiffness cannot be considered a reliable CMJ-derived variable because they obtained CV values that exceeded 20%. A possible explanation for the discrepancies between studies regarding the reliability of leg stiffness could be the different CMJ strategies implemented by the participants [33,35], as well as the gender and participant's sports background (e.g., familiarity with the CMJ). ...
Article
Full-text available
The purpose of the present study was (i) to explore the reliability of the most commonly used countermovement jump (CMJ) metrics, and (ii) to reduce a large pool of metrics with acceptable levels of reliability via principal component analysis to the significant factors capable of providing distinctive aspects of CMJ performance. Seventy-nine physically active participants (thirty-seven females and forty-two males) performed three maximal CMJs while standing on a force platform. Each participant visited the laboratory on two occasions, separated by 24–48 h. The most reliable variables were performance variables (CV = 4.2–11.1%), followed by kinetic variables (CV = 1.6–93.4%), and finally kinematic variables (CV = 1.9–37.4%). From the 45 CMJ computed metrics, only 24 demonstrated acceptable levels of reliability (CV ≤ 10%). These variables were included in the principal component analysis and loaded a total of four factors, explaining 91% of the CMJ variance: performance component (variables responsible for overall jump performance), eccentric component (variables related to the breaking phase), concentric component (variables related to the upward phase), and jump strategy component (variables influencing the jumping style). Overall, the findings revealed important implications for sports scientists and practitioners regarding the CMJ-derived metrics that should be considered to gain a comprehensive insight into the biomechanical parameters related to CMJ performance.
... To the present authors' knowledge, very few studies have determined the reliability of only GCT in reactive hopping. For instance, Lloyd and colleagues [48] found CVs of 30-36% in total contact time in adolescent subjects, and Choukou et al. [25] an ICC 95% CI of 0.88-0.93 but with the use of an accelerometric system and not a force plate. ...
Article
Full-text available
This study evaluated the reliability and sensitivity of a set of different common strength and power tests in a healthy adult population in a span of 9 weeks. Seventeen subjects (24.2 ± 2.2 years, 1.75 ± 0.10 m, 68.6 ± 14.2 kg, seven women) participated in the study. We tested countermovement jumps, reactive hops, and the maximal voluntary contraction (MVC) of handgrip and isometric knee extension. The tests were conducted in three separate sessions across a nine-week period, with one week between the first two sessions and eight weeks between the second and the third. Reliability and sensitivity statistics for each test were calculated for both the average of three trials and the best result during each session. The MVC of isometric knee extension and handgrip, as well as the countermovement jump test, demonstrated very high reliability and sensitivity over the nine-week period. The peak force of the reactive hops demonstrated high reliability but high sensitivity only for the average but not for the best result. The average contact time of reactive hops was neither a sensitive nor reliable measurement. In conclusion, isometric maximal knee extension and handgrip tests, as well as countermovement jumps and peak force of reactive hops, can be used as reliable and sensitive measurements of isometric and reactive strength and power over time periods of up to eight weeks. We recommend the use of the average results of three trials instead of the best performance value for longitudinal studies, as this procedure produces more consistent results and a lower measurement error.
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