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Hand–arm vibration in cycling

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Numerous workers are exposed to vibrations which can turn out to be fatal for the health. Athletes can be included in this population, in particular cyclists who are exposed to vibration due to the irregularity of the road. This nuisance depends of the duration of exposure and the range of vibrations. While the worker is mostly directly excited by a vibrating system, the cyclist is indirectly subjected to it. He undergoes the vibrations of an excited sub-structure which is the bicycle. So the bicycle plays the role of a vibration filter or amplifier. In this paper we propose to (i) study the transmission of vibrations to the cyclist after excitation on a paving road, (ii) calculate the limit time of exposure to this type of excitation rate by the use of the standard ISO 5349 and the European directive 2002/44/EC, and (iii) compare the weighting curve of the standard with a vibrations transmissibility curve obtained between the collarbone and the stem. For this particular case of an excited sub-structure, a weighting curve is proposed by considering the first modal frequency of the bicycle.
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Article
Hand–arm vibration in cycling
X Chiementin
1
, M Rigaut
1
, S Crequy
1,2
, F Bolaers
1
and
W Bertucci
2
Abstract
Numerous workers are exposed to vibrations which can turn out to be fatal for the health. Athletes can be included in
this population, in particular cyclists who are exposed to vibration due to the irregularity of the road. This nuisance
depends of the duration of exposure and the range of vibrations. While the worker is mostly directly excited by a
vibrating system, the cyclist is indirectly subjected to it. He undergoes the vibrations of an excited sub-structure which is
the bicycle. So the bicycle plays the role of a vibration filter or amplifier. In this paper we propose to (i) study the
transmission of vibrations to the cyclist after excitation on a paving road, (ii) calculate the limit time of exposure to this
type of excitation rate by the use of the standard ISO 5349 and the European directive 2002/44/EC, and (iii) compare the
weighting curve of the standard with a vibrations transmissibility curve obtained between the collarbone and the stem.
For this particular case of an excited sub-structure, a weighting curve is proposed by considering the first modal
frequency of the bicycle.
Keywords
Hand–arm vibrations, ISO5349 standard, cycling
Received: 18 November 2011; accepted: 26 July 2012
1. Introduction
Vibrations exposure of hand–arm system can be a risk
for workers’ health and safety. Numerous employees
are directly exposed to these vibrations which can be
the origin of repetitive strain injury (RSI), vascular
injuries and nervous injuries (Griffin, 1990; Leclercq,
2001). The causes and the consequences of these vibra-
tions are widely studied in the labor world.
The transmission of vibrations to the body depends
on its position, which means that the effects of vibra-
tions are complex. The exposure to vibrations provokes
movements and effects in the organism, which can
cause discomfort, negatively affect performance and
pose a risk to health and safety. This discomfort is
strongly linked to the power absorbed (Pradko et al.,
1965). In the case of a hand–arm system, there are four
types of disorders: vascular disorders, neurological dis-
orders, carpal tunnel syndrome and RSI (Bovenzi et al.,
1980; Friden, 2001; Pyykko et al., 1986; Taylor, 1988).
The standard ISO 5349-1 (EN-ISO-5349-1, 2001)
defines the procedure of measuring vibration for the
hand–arm system. As part of a hand–arm system, the
measure must be made by accelerometers on the
machine–hand interface. A frequency-weighted
acceleration is derived from this measure to give the
probability of damage. Despite this standard some stu-
dies were realized to measure the acceleration directly
on the desired joint to obtain unweighted accelerations.
Effectively, the standard does not consider other
important parameters such as the couplings forces
(Pekkarinen et al., 1989; Starck et al., 1990). The
advantage of such methods is to consider the absorp-
tion of vibrational energy according to the strength of
prehension and the size of the wrist (Aldien et al.,
2006). Some studies have reported that the use of
power consumption is a parameter more reliable than
the weighting in frequency recommended in the stand-
ard ISO 5349-1 (Burstro
¨m, 1990; Burstro
¨m and
1
GRESPI, Groupe de Recherche en Sciences Pour l’Inge
´nieur, Universite
´
de Reims Champagne-Ardenne, France
2
LISM, Laboratoire d’Inge
´nierie et Sciences des Mate
´riaux, Universite
´de
Reims Champagne-Ardenne, France
Corresponding author:
X Chiementin, GRESPI, Groupe de Recherche en Sciences Pour
l’Inge
´nieur, Universite
´de Reims Champagne-Ardenne, 51687 Reims
Cedex 2, France.
Email: xavier.chiementin@univ-reims.fr
Journal of Vibration and Control
19(16) 2551–2560
!The Author(s) 2012
Reprints and permissions:
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DOI: 10.1177/1077546312461024
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Lundstro
¨m, 1998). Griffin (1990) used the laser vibrom-
eter to determine the accelerations. However, this tool
is limited to the extent in one direction and the vibra-
tion of the body cannot be subjected to a uniaxial
vibration. Studies have brought on the transmissibility
of vibration in the hand–arm system showing the res-
onances (Aatola, 1989; Cherian et al., 1996; Pyykko
et al., 1976; Reynolds and Angevine, 1977).
The sports world is also widely exposed to vibra-
tions, however the standard is not used. In particular,
cyclists are regularly exposed to vibrations which are
generated by the road profile. Akuthota et al. (2005)
highlights the risk of carpal tunnel syndrome nerve on
long cycle trips. Braithwaite (1992) proposes a pos-
ition of hands slowing down the appearance of the
pinching of the carpal nerve in cycling, and a regular
change of positions. Haloua et al. (1987) is interested
in the compression of the ulnar nerve at the racing
cyclists. Professionals can accumulate 6 hours of train-
ing on the bike per day. Some ‘traditional’ races which
borrow paved areas significantly excite cyclist runners.
Loss of feeling in the hands implies a decrease in the
grip strength and results in decreased local vascular-
ization (Farkilla and Pyykko, 1979). Carpal tunnel
syndrome can also be a result of vibration and the
degeneration of the lunate bone of the hand
(Radwin et al., 1997). Studies were interested in redu-
cing the effect of these vibrations (Greenslade and
Larsson, 1997; Griffin, 1998). What is the risk taken
by the riders in facing these vibrations? After presen-
tation of the standard for the prevention of vibrations
for the worker, this paper is interested in: (i) quantify-
ing the transfer of the vibrations emitted by the profile
of the road on the cyclist; (ii) determining the critical
time of exposure through the standard; and (iii) com-
paring the weighting curve given by the standard with
that obtained by measuring the exit of the hand–
arm system. From this comparison, a weighting
curve based on the bike modal frequency will be
proposed.
2. Theory and the ISO5349 standard
The EN ISO 5349-1 standard (EN-ISO-5349-1, 2001)
expresses the measurement procedure and methods for
assessing human exposure to hand-transmitted vibra-
tion. The measurement should be made closer to the
hand grip on the vibrating system, and translated into
an effective amplitude a
hv
, which is the square root of
the sum of the square frequency-weighted accelerations
for each axis a
hw,i
:
ahv ¼ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
a2
hw,xþa2
hw,yþa2
hw,z
qð1Þ
The weighting of the acceleration is related to the
fact that the risk of damage is not equal to all frequen-
cies and a frequency weighting is used to represent the
probability of damage due to different frequencies. This
weighting is defined as a total frequency weighting
function H(s)
HðsÞ¼HbðsÞHwðsÞð2Þ
which is the product of a band limiting filter H
b
(s)
HbðsÞ¼ s242f2
2
ðs2þ2f1s=Q1þ42f2
1Þðs2þ2f2s=Q1þ42f2
2Þ
with s¼j2f
ð3Þ
and a frequency weighting filter H
w
(s)
HwðsÞ¼ ðsþ2f3Þ2Kf2
4
ðs2þ2f4s=Q2þ42f2
4Þf3
ð4Þ
The values f
i
refer to the resonance frequencies
(f
1
¼6.310, f
2
¼1258.9, f
3
¼15.915, f
4
¼15.915). The
values Q
i
refer to the selectivities of the poles
(Q
1
¼0.71, Q
2
¼0.64) and Kis the gain (K¼1). The
vibration exposure is quantified by a measure with the
reference time equal to 8 hours: A(8). This is
calculated based on the amplitude and the duration of
exposure
Að8Þ¼ahv ffiffiffiffiffiffiffiffiffiffi
T=T0
pð5Þ
where Trepresents the daily duration (h) of exposure to
vibration and T
0
is the reference duration of 8 hours.
This standard is used by the European directive
2002/44/EC (Directive, 2002/44/EC, 2002), and makes
employers responsible for ensuring that the risks of
whole-body vibration are eliminated or minimized.
The directive defines thresholds of exposure from
which the employer has to control (2.5 m/s
2
for the
hand–arm system) and thresholds exposure limits to
which workers must not be subjected (5 m/s
2
for the
hand–arm system).
3. Experimental tests
3.1. The cycle
All of the study has been realized on a racing bicycle
used for competition with a carbon frame. The charac-
teristics are listed in Table 1.
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3.2. Modal analysis
Before the tests under real conditions, a modal analysis
is realized. The bike is suspended by elastic bands to
approximate free–free boundary conditions. The sig-
nals are recorded by an acquisition system OROS
OR36 with eight inputs and two outputs. Two tri-axis
accelerometers (Bruel and Kjaer 4525 B) with a sensi-
tivity of 10 0.22 mV/g are positioned on the frame
and the stem. A shock hammer is used to reveal the
normal mode. An averaging of 15 transfer functions
obtained between the input (a striking on the hub of
the front wheel) and the output (accelerometer) is done.
We obtain three characteristic lines, 29–75–181–418 Hz
on the frequency span 0–1000 Hz (Figure 1).
3.3. In real conditions
A voluntary competitive (regional-level) cyclist realized
all of the tests on the bicycle presented in Section 3.1.
His anthropologic data are weight 67 kg and height
1.84 m. The signals are collected by an acquisition
system OROS OR36. The signals are collected with a
sampling frequency of 20,000 Hz during 5 s. This
system, of 5.2 kg weight, is put on the cyclist’s shoulder.
A battery of 12 V, 2.3 Ah feeds the system and allows it
operate autonomously for 50 min. To start the acqui-
sition a pulse push button is used. One of the terminals
of the switch is connected to an output of the analyser
and generates a continuous signal of 5 V while the other
terminal of the push button is connected to an input
device. In order to allow the pilot to have the desired
position on the bike a temporization of 1 second delays
the acquisition. Two tri-axis sensors 4525 B from Bruel
and Kjaer, sensitivity 100.2 mV/g on the three axes,
are used. The first is positioned on the stem with the
axis Xpositive in the direction of movement and the
axis Zcollinear with gravity (Figure 2(a)). The second
is positioned successively on the wrist, elbow and clav-
icle of the rider so that when the pilot’s arm is extended,
a line can be drawn through the wrist, elbow and col-
larbone, with emphasis on the bony parts of each
member. The rider realizes 10 tests for each position,
the results are averaged because the experienced vibra-
tion is not identical for each test. The sensor positions
on the wrist are slightly down compared with the bump
of the ulna, 10 mm on the Xaxis and 10 mm on the Y
axis. The attachment is made using an elastic bandage
(Figure 2(b)). These positions are chosen to obtain a
bone portion. Thus, we limit the vibration response of
the muscles.
The tests are performed on a paved street in Reims
(France). The paving stones are laid in staggered rows
and their average sizes in the direction of rolling are
12011 mm, with a gap of 253 mm. The tests are
realized at movement speed, from 5 km/h to 35 km/h,
with an increment of 5 km/h (Figure 3).
From the paving stones and the rolling speed, the
excitations frequencies f
th
, are determined by
fth ¼v
d=3:6ð6Þ
where dis the distance between the centers of two
paving stones in meters and vis the rolling speed in kilo-
meters per hour. The frequencies of engagement are
thus calculated for each of the speeds studies (Table 2).
4. Results and discussion
4.1. Distribution of the vibrations
4.1.1. Root mean square values. This section concerns the
root mean square (RMS) on the stem and on three
points of the cyclist members, wrist, elbow and collar-
bone (Figures 4 and 5).
On the frame, the more excited axes are the Zaxis
(vertical) and Xaxis (direction of movement) while the
excitations along the Yaxis are at a level almost two
times lower. These results are consistent because in the
commitment of the pavement, the bike receives a shock
in its sense of movement, but also a vertical shock due
to the height of the pavement. The RMS values for the
axes Xand Yincrease for the range 5 to 30 km/h, then
begin a decline between 30 and 35 km/h. From the
speed of 30 km/h the bike is less excited along
the axes Xand Y, which increases the comfort of the
rider because the vibrations transmitted to the rider are
lower.
On the wrist, the excitations on the Zaxis are the
most important, they evolve strongly between 15 and
20 km/h. The excitation evolution of the Xaxis fol-
lows those of the Zaxis until 20 km/h, then they
remain stable with values between 45 and 55 m/s
2
.
Table 1. Technic characteristics of the bike
Frame : Carbon monocoque 3K
Fork : Carbon The One
Transmission : Shimano Ultegra - Shimano 12 25, 10 speeds
Cranksets : Shimano Ultegra 50 34
Breaks : Shimano Ultegra
Wheels : Mavic Ksyrium Equipe
Tires : Michelin Lithion 700-23c, pressure 7 bars
Handlebar : 3T Pro
Stem : 3T arx Pro
Saddle: fiz
´i:k Pave
Weight: 8.10 kg
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The excitations on the Yaxis are in low growth but
constant.
On the elbow the excitations between the Xand Y
axes are similar until 25 km/h, from this speed the exci-
tations on the Yaxis are stable whereas those on the X
axis increase slightly. The excitations on the Zaxes
have the same evolution as the Yaxis but with values
twice as large. After 25 km/h (46 Hz) the RMS values
on the Yand Zaxes decrease softly.
On the collarbone, for the range 5 to 25 km/h the
more excited axis is the Zaxis with a peak value at 20
km/h, from this speed the excitations fall on this axis.
This is the Yaxis which became the more excited for the
range 25 to 35 km/h.
On different body parts and the stem the Zaxis
remains the most severely excited, this is explained by
the nature of the shock, the paving attack creates a
shock along the Zaxis. The Yaxis is generally the
least excited except for the collarbone. The most excited
body part is the wrist, more particularly from 20 km/h.
The hand–arm system responds like a filter because the
vibrations amplitude decreases between the wrist, the
elbow and the collarbone. One can note that the shoul-
der is excited very little because the RMS values
between 10 and 35 km/h are almost constant.
4.1.2. Transmissibility function. After having quantified the
RMS at different parts of the cyclist and the cycle, we
Figure 1. Transfer function of the bike.
Figure 2. (a) Sensor position on the stem and (b) sensor position on the wrist.
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calculate the vibrational transfer T, that is the ratio
between the RMS value computed at a point of the
rider a
hc
and the RMS value calculated at the stem a
hw,i
:
HmeasuredðwÞ¼ ahc
ahw,i
ð7Þ
The transmissibility functions on the three axes
between the wrist and the stem show that the acceler-
ations on the Yand Zaxes are amplified (Figure 6).
The transmissibility ratios are higher than 1 from 20
km/h for the Xand Yaxes, and from 25 km/h for the
Zaxes. The maximum transmissibility ratio is reached
at a speed of 30 km/h (55.5 Hz). One can also note a
stabilization of the amplification from 30 km/h. The
accelerations on the elbow are amplified for the Y
axis from 20 km/h. A ratio of 1.38 is reached for 25
km/h (46 Hz). The accelerations on the Xaxis are lar-
gely reduced (from 90% for a speed of 5 km/h to 40%
for a speed higher than 20 km/h). The accelerations on
the Yaxis are reduced until a speed of 20 km/h and are
then stable. The transmissibility on the three axes stay
steady from 25 km/h. The collarbone reduces largely
the vibration in the three axes. The transmissibility
does not exceed 0.4 on the Xand Zaxes. The transmis-
sibility is higher on the Yaxes but stays below to 1. In a
global way the amplification of the vibration occurs so
from 20 km/h, a 38 Hz frequency of engagement. Note
that this frequency of 38 Hz corresponds to the
resonant frequency of the wrist (Chiementin et al.,
2011). For speeds lower than 20 km/h the accelerations
are widely reduced.
4.2. Exposure threshold
4.2.1. Time-scale and spectral analysis. As mentioned in
ISO 5349-2 (EN-ISO-5349-2, 2001), we record here
the spectral behavior of the study. The excitation fre-
quency of the hand–arm system is determined in order
to understand the comparison between the norm and
our results. The signals collected are largely unsteady
due to the varying distance between two centers of suc-
cessive blocks and the unstabilized velocities of the
bike. That is why an analysis time scale is realized.
A continuous wavelet transform of the Morlet mother
wavelet, denoted by
a,b
(t), is used (Mallat, 2008). This
transformation defines, at every moment, the scale (fre-
quency) of the analyzed signal s(t)
Ca,b¼ZsðtÞa,b
tb
a

dt where a,bðtÞ¼ex2=2cosð5tÞ
ð8Þ
The study was conducted on the scale 500–2000 corres-
ponding to a frequency range of 20–81 Hz
f¼fc=ð2aÞð9Þ
Figure 3. (a) Tests on a paved street in Reims and (b) data acquisition systems OROS.
Table 2. Characteristic values
Speed (km/h) f
th
f
exp
Error A(8) (m/s
2
)T
limit
(min)
5 9.3 – 3.30 138
10 18.5 – 7.14 29
15 27.8 – 9.46 17
20 37.0 35 1.45 13.03 9
25 46.3 45 1.42 12.9 9
30 55.6 53 2.39 14.14 7.5
35 64.8 65 0.15 14.11 7.5
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Figure 4. Values of a
hv,i
for (a) stem and (b) wrist.
Figure 5. Values of a
hv,i
for (a) elbow and (b) collarbone.
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where f
c
is the central frequency, ais the scale and brep-
resents the time. The analysis of Figure 7 for a speed of
20 km/h confirms the appearance of nonstationary
measurements, however, we can distinguish windows
of the time where the signal is stationary. These time
slots allow us to determine the experimental frequencies
of commitment of the bike and are listed in Table 2.
The comparison of theoretical and experimental fre-
quencies shows, that there is a good fit for speeds
greater than or equal to 20 km/h. Under that speed,
the frequency of 25 Hz is predominant corresponding
to the first modal frequency of the bike (see
Section 3.2).
4.2.2. Measurement of A(8). This section evaluates
the severity of cycling activity on cobblestones
through the variable A(8) given by ISO 5349-1 (EN-
ISO-5349-1, 2001), in which the thresholds are fixed
by the European directive 2002/44/EC (Directive,
2002).
For each speed, the effective frequency-weighted
acceleration is computed. The values A(8) are estimated
for a duration of 1 hour and are listed in Table 2. The
threshold of surveillance fixed by the European direct-
ive is 2.5 m/s
2
. This value is exceeded from the first
speed of engagement. The threshold of risk, fixed to
5 m/s
2
, is exceeded between the speeds of 5 and
10 km/h. We thus note that the cyclist is even widely
excited for low speeds.
From the threshold of risk reduction of 5 m/s
2
, the
time exposure limit, T
limit
, is calculated. For the speed
range of tests, the maximum exposure time is 137 min-
utes at 5 km/h and 7 min for a speed of 35 km/h. The
calculated values of A(8) are listed in Table 2. For
information, many cycle races offer portions of pave-
ment. We can name the most famous of the ‘classics’
Paris–Roubaix, at the speed of 35 km/h, the time of
7 min corresponds to a distance of 4 km, that is the
first four paved sectors while the race presents 27
sectors.
Figure 6. Transfer rate of vibration.
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4.3. Norm comparison/transmissibility
This section compares the weighting curve provided by
the standard and the curve of transmissibility between
the collarbone and the stem. Figure 8 shows that we
obtain a good correlation for a speed of 25 km/h and
higher. However, under this speed the errors are
widely significant, we obtain an average relative error
of 28.7% and a maximal relative error of 87.1%
between the weighting curve of the standard and our
measures. This speed limit corresponds to the first
resonance frequency of the cycle. Thus, in the case
of a sub-structure excited (the cycle), we propose a
frequency weighting H
w,proposed
(s) which has the same
mathematical formulation as Equation (4), but whose
characteristics are: f
3
¼29.0, f
4
¼29.0, Q
2
¼0.64,
K¼0.54. Here f
3
,f
4
correspond to the first resonant
frequency of the cycle, Kis the maximum weighting
factor experimental and Q
2
stays identical as on the
standard. These remarks consider the standard and the
dynamic of the sub-structure excited (Figure 8). So the
mean relative error is 7.0% and a maximum relative
Figure 7. Absolute value of C
a,b
for a speed of 20 km/h.
Figure 8. Transmissibility function from the ISO 5349-1 standard, from experimental values and proposed model.
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error of 13.6% between the proposed weighting curve
and our measures.
5. Conclusion
This paper is concerned with the propagation of vibra-
tions in the hand–arm system of the cyclist, especially
when discussing the ISO5349-1 standard. These vibra-
tions generated by the road profile can be harmful to
the health of the athlete, and mastery can be transpose
into performance.
Atfirst,itisshownthatforaunidirectional excitation
on the pavement, the vibrations felt by the cyclist are
expressed in all three axes, and especially along the
normal axis of movement. It is also shown that the vibra-
tions are amplified from a speed of 20 km/h that is 38 Hz,
which corresponds to the resonance of the wrist. The radial
axis of movement is the most amplified. This excitation is
similar to a wavering and oscillation type deformation.
Second, this paper applies the ISO 5349-1 standard
and the European directive to estimate the dose of
vibrations, A(8), and the time of maximal exposure.
This time, relatively weak, is estimated at 7 min for a
35 km/h speed.
Finally, this paper shows that the standard over-
states the dose of vibration before the first modal fre-
quency of the sub-structure. Thus, for a sub-structure
excited a frequency weighting filter based on the first
modal frequency of the cycle is proposed.
Further tests are planned as part of an agreement with
a secondary school (Lycee Arago) in Reims. This school
educates young top-level sportsmen and sportswomen.
Moreover to quantify the effects of the stoutness, subjects
of different levels will be added to the study.
This study precedes a model of the hand–arm system
to prevent risk of exposure to vibrations. The design of
a cycle also appears suitable for reducing the dose to
meet the standard of health.
Funding
This research received no specific grant from any funding
agency in the public, commercial, or not-for-profit sectors.
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... When racing on cobblestones, the bike transmits the surface-induced vibrations via pedals, saddle and handlebar to the athlete. From a biomechanical perspective, the transmission of vibrations results in a repetitive high frequent force application to the musculoskeletal system which causes an additional stimulus, affecting comfort, health and neuromuscular performance (Chiementin et al., 2013;Munera et al., 2018;Schwellnus & Derman, 2005). Even though being important for understanding race performance and cyclists' comfort, there is little research on the extent to which vibrations are transmitted to the cyclist's body, how the muscles react to this stimulus and whether the cardiopulmonary or respiratory system is affected. ...
... High vibration doses at the hand-arm system compromise comfort and increase the risk of non-traumatic injuries (Arpinar-Avsar et al., 2013;Chiementin et al., 2013;Schwellnus & Derman, 2005). Ayachi and colleagues (Ayachi et al., 2018) used a road simulator for cycling to investigate the human sensitivity to vibration. ...
... This paper aimes to explain primarily vibration-related neuromuscular effects, not shock attenuation and transmission of accelerations in a strictly mechanical framework. Therefore, similar to other vibration related studies (Arpinar-Avsar et al., 2013;Chiementin et al., 2013;Munera et al., 2018), the RMS of acceleration was used for analysing the vibration exposure of different segments and thereby describe the working environment of the muscles. ...
Article
The aim of this study was to understand if and how surface-induced vibrations and road bike damping affect short-term neuromuscular performance in cycling. Thirty cyclists (mass 75.9 ± 8.9 kg, height 1.82 ± 0.05 m, Vo2max 63.0 ± 6.8 ml/min/kg) performed steady-state and maximum effort tests with and without vibration exposure (front dropout: 44 Hz, 4.1 mm; rear dropout: 38 Hz, 3.5 mm) on a damped and a nondamped bike. Transmitted accelerations to the musculoskeletal system, activation of lower extremity muscles (gast. med., soleus, vast. med., rec. fem.) and upper body muscles (erec. spinae, deltoideus, tric. brachii), oxygen uptake, heart rate and crank power output were measured. The main findings indicate a transmission of vibration to the whole body, but since no major propulsive muscles increase their activation with vibration, the systemic energy demand increases only marginally with vibration. Damping reduces vibrations at the upper body, which indicates an increase in comfort, but has no effect on the vibration transfer to the lower extremities. Therefore, road bike damping does not affect neuromuscular response of the propulsive muscle groups and energy demand. Consequently, short-term power output does not increase with damping.
... From the literature, little is known about HAV exposure during mountain bike cycling and related effects on the nerve function in the hands. The HAV exposure during cycling has been evaluated in other studies [25][26][27][28][29][30]. However, to our knowledge, there is no literature data on HAV exposure during mountain bike cycling on trails or cycling at all, combined with examination of effects on the nerve function of the cyclists. ...
... Furthermore, less efficient transmissibility of vibrations through the handlebars for the intervention group, compared to the polishing machine for the control group, could also have contributed to the observed difference. Under certain circumstances, a highly variable and very low transmissibility was demonstrated by Ciementin et al. [26] for standard cycling on streets with pavement. Descriptive data of vibration transmissibility for mountain bike cycling on the trail has unfortunately not been found in the literature. ...
Article
Full-text available
Hand-arm vibrations can cause permanent injuries and temporary changes affecting the sensory and circulatory systems in the hands. Vibrational effects have been thoroughly studied within the occupational context concerning work with handheld vibrating tools. Less is known about vibrational exposure and risk of effects during cycling. In the present study, 10 cyclists were recruited for exposure measurements of hand-arm vibrations during mountain bike cycling on the trail, and the effects on the nerve function were examined with quantitative sensory testing (QST) before and after the ride. The intervention group was compared to a control group that consisted of men exposed to hand-arm vibrations from a polishing machine. The results of the QST did not statistically significantly differ between the intervention and study groups. The intervention group showed a lesser decrease in vibration perception in digitorum II, digitorum V, and hand grip strength than the control group. It was concluded that no acute effects on nerve function in the dominant hand were measured after mountain bike cycling on the trail, despite high vibration doses through the handlebars.
... Fischer et al. 11 discusses the potential benefits of WBD in rehabilitation from orthopedic injury through a meta-analysis study. References present development of spring-mass-damper multi-degree of freedom (MDOF) models [3][4][5][6][7][8][9][10]12 to approximate the behavior of the human body subjected to shock and vibration. These models were developed after operational deflection shape and experimental modal analysis studies. ...
Article
Full-text available
Clavicle fractures are common medical emergencies; their prevention through design of protection systems depends upon understanding injury mechanisms. This work analyzes the bending natural frequencies and mode shapes of the human cadaver clavicles in situ. The method applied includes experimental modal analysis (EMA) techniques on cadaver clavicles and correlates results with previous analyses. The clavicle response to shock depends on mechanical energy transmission between load and bone and requires an understanding of modal characteristics of the clavicle as well as the frequency range of the shock. The loads acting upon the clavicle may be represented by hard impacts (i.e. sport-related hits) or loads with short durations which can excite a wide frequency spectrum. Modal analyses of clavicles have been reported in literature, but those studies were performed on the clavicles isolated from the body. As a result, those analyses found mode shapes dependent upon different boundary conditions than those found in nature. In our study, EMA employed triaxial accelerometers and a force hammer, a testing procedure was developed, and data was analyzed. The EMA was performed with the clavicle supported in situ, and results include the coronal and axial plane first bending modes. Modal parameters obtained serve to design shock mitigation systems.
... This combination was studied in the context of bicycle rides. Chiementin et al. [84] developed an equation providing the vibration input frequency from both the bicycle speed and the paving stone's characteristics. Such a prediction could be useful to dimension MWC or as input information for an MWC/users vibration transmissibility model. ...
Article
Full-text available
Manual wheelchair (MWC) propulsion can expose the user to significant vibration. Human body exposure to certain vibrations can be detrimental to health, and a source of discomfort and fatigue. Therefore, identifying vibration exposure and key parameters influencing vibration transmissibility during MWC propulsion is crucial to protect MWC users from vibration risks. For that purpose, a systematic review using PRISMA recommendations was realizedtosynthesizethe current knowledge regarding vibration transmissibility during MWC propulsion. The 35 retrieved articles were classified into three groups: Vibration content, parameters influencing vibration transmission, and vibration transmission modeling. The review highlighted that MWC users experience vibration in the frequency range detrimental/uncomfortable for human vibration transmission during MWC propulsion depends on many parameters and is still scarcely studied and understood. A modeling and simulation approach would be an interesting way to assist physicians in selecting the best settings for a specific user, but many works (modeling, properties identification, etc.) must be done before being effective for clinical and industrial purposes.
Article
Background: The majority of Indians prefer to drive by two-wheeler. Hands are the most important interface between the rider and bike while riding a motorbike. The vibration is transferred to the physical structure by the handlebar as it travels. Long-term exposure to the vibrations may have an impact on various bodily structures. Objective: To measure and analyse the human exposure to vibration in the hand-arm system while riding a motor cycle using a vibrometer. Methods: The several types of bikes based on their cc's were evaluated in three different road conditions during this investigation (tar road, concrete road, and gravel road). The subjective and quantitative data of each participant were recorded. The RMS A(8) values were supported for every combination of motorcycles ad road conditions, and vibration intensity was evaluated using a tri-axial vibrometer. Results: The exposure limit value for daily vibration exposure is 5 m/s2 according to the UK Control of Vibration at Work Regulations 2005 standards.This study suggests that the bike with the least amount of vibration be used to prevent hand-arm vibration (HAV) syndrome. This study found that bike C had the least vibration across all three types of roads, which will benefit riders by reducing health issues as they ride. Therefore, it is further examined utilising the Taguchi method with various bike c age groups. Bike c with the lowest age had the least vibration when different bike c ages were compared, hence it was recommended for riding. Conclusion: The vibration level of each bike has a huge impact, which was measured using a tri-axial vibrometer. According to the results, bike C has the least vibration across three distinct types of roads ad also provides riders with less health issues while riding bikes. As a result, a moped can drive in three different road circumstances with the least amount of vibration, delivering comfort and safety while lowering vibration levels.
Article
Vibration has the potential to compromise performance in cycling. This study aimed to investigate the effects of vibration on full-body kinematics and muscle activation time series. Nineteen male amateur cyclists (mass 74.9 ± 5.9 kg, body height 1.82 ± 0.05 m, Vo2max 57 ± 9 ml/kg/min, age 27 ± 7 years) cycled (216 ± 16 W) with (Vib) and without (NoVib) vibration. Full-body kinematics and muscle activation time series were analysed. Vibration did not affect lower extremity joint kinematics significantly. The pelvic rotated with vibration towards the posterior direction (NoVib: 22.2 ± 4.8°, Vib: 23.1 ± 4.7°, p = 0.016, d = 0.20), upper body lean (NoVib: 157.8 ± 3.0°, Vib: 158.9 ± 3.4°, p = 0.001, d = 0.35) and elbow flexion (NoVib: 27.0 ± 8.2°, Vib: 29.4 ± 9.0°, p = 0.010, d = 0.28) increased significantly with vibration. The activation of lower extremity muscles (soleus, gastrocnemius lat., tibialis ant., vastus med., rectus fem., biceps fem.) increased significantly during varying phases of the crank cycle due to vibration. Vibration increased arm and shoulder muscle (triceps brachii, deltoideus pars scapularis) activation significantly over almost the entire crank cycle. The co-contraction of knee and ankle flexors and extensors (vastus med. – gastrocnemius lat., vastus med. – biceps fem., soleus – tibialis ant.) increased significantly with vibration. In conclusion vibrations influence main tasks such as propulsion and upper body stabilization on the bicycle to a different extent. The effect of vibration on the task of propulsion is limited due to unchanged lower body kinematics and only phase-specific increases of muscular activation during the crank cycle. Additional demands on upper body stabilization are indicated by adjusted upper body kinematics and increased muscle activation of the arm and shoulder muscles during major parts of the cranking cycle.
Article
Full-text available
Hybridization of carbon fiber composites can increase the material damping of composite parts. However, there is little research on a direct comparison of different fiber materials—particularly for carbon fiber intraply-hybrid composites. Hence, the mechanical- and damping properties of different carbon fiber intraply hybrids are analyzed in this paper. Quasi unidirectional fabrics made of carbon, aramid, Vectran and cellulose fibers are produced, and their mechanical properties are analyzed. The material tests show an increased material damping due to the use of Vectran and aramid fibers, with a simultaneous reduction in strength and stiffness.
Article
Purpose: This study aims to provide an understanding of how surface-induced vibrations in cycling interfere with short-term neuromuscular performance. Methods: The study was conducted as a cross-sectional single cohort trial. Thirty trained cyclists participated (mass 75.9 ± 8.9 kg, body height 1.82 ± 0.05 m, VO2max 63 ± 6.8 ml/min/kg). The experimental intervention included a systematic variation of the two independent variables, vibration (Vib: front dropout: 44 Hz, 4.1 mm; rear dropout: 38 Hz, 3.5 mm; NoVib) and cranking power (LOW: 137 ± 14 W; MED: 221 ± 18 W; HIGH: 331 ± 65 W) from individual low to submaximal intensity. Dependent variables were transmitted accelerations to the body, muscular activation (gastrocnemius medialis, gastrocnemius lateralis, soleus, vastus lateralis, vastus medialis, rectus femoris, triceps brachii, flexor carpi ulnaris, lumbar erector spinae), heart rate and oxygen consumption. Results: The main findings show that the RMS of local accelerations increased with vibration at the lower extremities, the torso and the arms-shoulder system. The activation of gastrocnemius medialis, gastrocnemius lateralis, soleus, triceps brachii and flexor carpi ulnaris increased significantly with vibration. The activation of vastus lateralis increased significantly with vibration only at HIGH cranking power. Oxygen consumption (+2.7%) and heart rate (+ 5 - 7%) increased significantly in the presence of vibration. Conclusions: Vibration is a full-body phenomenon. However, the impact of vibration on propulsion is limited as the main propulsive muscles at the thigh are not majorly affected. The demands on the cardiopulmonary and respiratory system increased slightly in the presence of vibration.
Conference Paper
Full-text available
Background: Paris-Roubaix is a unique and singular race of UCI World Tour. Compared to other “classic races”, the difficulty of the route is increased by the mechanical vibrations encountered during many cobbles sectors. These ones represent ~20% of the total distance to be covered (~250 km). They are classified by the organizers according to their length and the cobble’s characteristics from “easy” (two stars) to “very hard” (five stars). Previous studies measured vibration exposure at cyclist’s hand on one single cobbles sector [1] and for whole body on short urban road path [2]. Thus, the vibration exposure of cyclists during a whole race that includes many cobbles sectors remain unknown. Purpose: The aim of this study was to measure the mechanical vibrations encountered on cobbles sectors of a “classic race” according to the norms used in the working world (ISO 2631-1, 1997; ISO 5349-1, -2, 2001). a Methods: One male cyclist (1.80 m; 68 kg) participated in the 139-km route of the “ParisRoubaix Challenge 2015” . This race included 15 of the 27 cobbles sectors of the official professional course. Two tri-axial accelerometers (HiKoB Fox, HiKoB, Villeurbanne, France) were firmly mounted on the stem and the seatpost of the subject’s bike (Roubaix Expert carbon, Specialized, USA; tyre pressure set at 5.0 bar). According to the norms and previous results [2], only vertical accelerations (normal to the stem and longitudinal along the seatpost, sampled at 1350 Hz) were used to assess the effective values of vibrations. Cycling speed and heart rate (HR) were measured continuously with a GPS device (Garmin Egde 800, Garmin, Kansas City, USA). Power output (PO) and pedalling cadence (PC) were measured every 1-s with a PowerTap Hub SL+ (CycleOps, USA) and pedalling data were logged on the GPS device. For each sector, the effective value of the acceleration (RMS, m.s-2) and the vibration dose value (VDV, m.s-1.75) were computed from the raw acceleration subtracted by its mean value (freeing it from the orientation of the sensor). Pearson’s regressions were performed to analyse the relationship between RMS and cycling speed during cobbles sectors. -1 Results: The total length covered for the 15 cobbles sectors analysed was 28.1 km at a mean speed of 21.8 km.h . -1 Distance, speed, HR, PC, and PO during cobbles sectors were distributed from 0.51 to 3.69 km, 19.1 to 27.8 km.h , 122 to 155 bpm, 79 to 87 rpm, and 167 to 235 W, respectively. Figure 1 shows that vibration dose value measured at stem (hand) and seatpost (whole body) seems to increase with the cobbles sectors difficulty. The RMS value increased significantly (p < 0,001) with the mean speed (Figure 2). According to the European guidelines (2002), the time periods needed to reach the value of exposure which triggers the action (TEAV, s) and the limit exposure value (TELV, s) were for whole body: 10 ± 3 s and 52 ± 14 s, respectively; and for hands: 153 ± 29 s and 610 ± 116 s. Discussion and Conclusion: According to RMS and VDV values, vibration exposure is much higher at hands than at the cyclist’s seat, regardless the speed and the cobbles sector difficulty. VDV measured at seatpost are at least two times higher than values reported previously in road biking on urban path combining asphalt and pavement [2]. Limit exposure values are reached within minutes that is much fewer than the total time spent on cobblestones by professional riders during Paris-Roubaix race (~90 min). The question remains about the cyclist’s adaptations to this traumatic vibration exposure by adopting an appropriate posture or by increasing muscle work for damping vibrations. a Paris-Roubaix Challenge is a Cycling for All event of UCI that take place the day before ParisRoubaix for elite riders.
Book
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: * Balances presentation of the mathematics with applications to signal processing * Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox * Companion website for instructors and selected solutions and code available for students New in this edition * Sparse signal representations in dictionaries * Compressive sensing, super-resolution and source separation * Geometric image processing with curvelets and bandlets * Wavelets for computer graphics with lifting on surfaces * Time-frequency audio processing and denoising * Image compression with JPEG-2000 * New and updated exercises A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering. Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company. Includes all the latest developments since the book was published in 1999, including its application to JPEG 2000 and MPEG-4 Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox Balances presentation of the mathematics with applications to signal processing.
Article
A five-degrees-of-freedom (DOF) bio-mechanical model of the hand-arm system is developed to study the vibration transmissibility characteristics of the human hand-arm. The model parameters are identified from the characteristics of vibration transmitted to the hand, forearm and upper arm, measured in the 10–200 Hz frequency range under a constant 25.0 N grip force. A concept of an energy flow divider is proposed to reduce the flow of vibration energy into the hand. The coupled hand-arm-divider is modeled as a six-DOF dynamical system and the response characteristics are evaluated for handle excitations caused by a palm-grip orbital sander. The response characteristics of the coupled hand-arm-divider model are compared to those of the hand-arm model to demonstrate the potential performance benefits of the proposed energy flow divider. The hand-transmitted vibration is further assessed using the overall weighted acceleration response, and it is concluded that the proposed energy flow divider can reduce the magnitude of hand-transmitted vibration considerably.
Article
Paralysis of the ulnar nerve in cyclists was first documented ninety years ago. Increase in the number of cyclists has revived interest in this pathology which occurs apparently only amateurs. The authors report three cases to add to the thirty-five previously reported cases of the literature. The onset of symptoms and their specific features are dealt with and the advantage of electromyography is emphasized. Evolution is spontaneously favorable in amost all cases. Cycling can be resumed with certain precautions once symptoms have completly subsided.
Article
The purpose of this study was to find the resonance frequencies of the hand, the relations between resonance frequencies and hand-grip force, and between transmission of vibration and hand-grip force, and to compare different frequency response function estimators. The vibration accelaration was measured from the handle and from the wrist in both laboratory and field conditions. The laboratory measurements were made with five research workers as test subjects using five hand-grip forces and three handle vibration levels. Vibration excitation was sinusoidal sweep from 10 to 400 Hz. Field measurements were made from five professional forest workers who were cutting discs from a tree with chain saws manufactured in 1958, 1972 and 1980. Three resonance frequencies were found which increased linearly with increasing hand-grip force. The transmission of vibration to the wrist increased linearly with increasing hand-grip force at frequencies over 100 Hz. Three frequency response function estimators were calculated which seemed to be fairly equal if the coherence function was better than 0.8. The minimum boundary of normalized random error function for frequency response functions was calculated.
Article
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Article
A method for measuring the vibration levels due to vibration induced into the hand that were transmitted to specified locations on the hand and arm is presented. This method employed the use of subminiature clamped piezo-resistive accelerometers which weigh less than 0·3 g. The results of the investigation implied that vibration at frequencis above 100 Hz that was directed into the hand and fingers was isolated primarily to the hands and fingers. These results also indicated that large relative motions could possibly exist between adjacent tissues in the hand and fingers and across bone joints.
Article
A possible basis for risk assessment of human exposure to vibration when using hand-held tools may be to determine the amount of mechanical energy that is absorbed by the hand-arm system. The aim of this investigation was to study the absorption of mechanical energy in the human hand-arm system during exposure to sinusoidal vibration within the frequency range of 20 to 1500 Hz. A handle, specially designed for this type of experiments, was used during the measurements. The influence of various experimental conditions, such as three different hand-arm postures, grip force (25–75 N) and vibration levels (27–53 mm/srms), were studied on eight subjects. The outcome clearly shows that the energy absorption properties of the human hand-arm system are more or less dependent on all of the experimental conditions studied, but mainly to the frequency of the vibration stimuli. Furthermore, the results indicate a non-linear relationship between the energy absorbed and all other variables studies.
Chapter
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: * Balances presentation of the mathematics with applications to signal processing * Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox * Companion website for instructors and selected solutions and code available for students New in this edition * Sparse signal representations in dictionaries * Compressive sensing, super-resolution and source separation * Geometric image processing with curvelets and bandlets * Wavelets for computer graphics with lifting on surfaces * Time-frequency audio processing and denoising * Image compression with JPEG-2000 * New and updated exercises A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering. Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company. Includes all the latest developments since the book was published in 1999, including its application to JPEG 2000 and MPEG-4 Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox Balances presentation of the mathematics with applications to signal processing.