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42nd Annual Meeting of the American Society of Biomechanics, Rochester, MN, USA, August 8th – 11th, 2018
EMG ANALYSIS OF AN UPPER BODY EXOSKELETON DURING AUTOMOTIVE ASSEMBLY
Jason C. Gillette and Mitchell L. Stephenson
Iowa State University, Ames, IA, USA
email: gillette@iastate.edu
INTRODUCTION
Shoulder injuries in the workplace result in the
longest recovery time of any body part: 23 median
days missed [1]. Common causes of shoulder pain
include bursitis, tendinitis, impingement, instability,
and arthritis [2]. Repetitive overhead postures are
widely thought to increase the risk of shoulder injury.
Threshold limit values (TLV) for upper limb fatigue
have been developed that relate maximum voluntary
contraction (MVC) to duty cycle [3]. Using this
equation, a 39.5% MVC should not be exceeded with
a 10% duty cycle, and a 16.5% MVC should not be
exceeded with a 50% duty cycle.
When worksite modifications are impractical or
impossible, robotic or passive assistive devices may
be utilized in an attempt to prevent shoulder injuries.
The Levitate Airframe is a passive exoskeleton
designed to support arm weight during overhead
shoulder postures. Previous testing with workers at
John Deere indicated promising reductions of deltoid
muscle activity when using this exoskeleton [4]. The
purpose of this study was to assess this exoskeleton
during overhead automotive assembly at Toyota
Canada. Our hypothesis was that deltoid muscle
activity would be reduced with the exoskeleton.
METHODS
Eleven experienced male workers (age 357 yr)
volunteered for this study. Data were collected for
ten overhead automotive assembly tasks. One
participant performed three job tasks, five
participants performed two job tasks, and five
participants performed one job task. Eight job tasks
were performed by two participants, and two job
tasks were performed by one participant (18
comparisons). Approximately 12 minutes of data
were collected per job task, with nine job tasks
having ten repetitions (automotives completed), and
one job task having three repetitions (multiple
stations). Data for each job task were collected with
and without use of the exoskeleton.
IRB-approved informed consent was obtained from
all participants. Data were collected using a Delsys
Trigno wireless electromyography (EMG) system at
a sampling frequency of 1926 Hz using Delsys
EMGworks software. EMG sensors were placed on
eight muscles: right and left anterior deltoid, biceps
brachii, superior trapezius, and lumbar erector
spinae. Maximum voluntary isometric contractions
(MVIC) were performed in the following postures:
shoulder abduction empty can, seated elbow flexion,
and prone spinal extension. EMG data were analyzed
using custom written code in Matlab.
EMG signals were inspected to remove any non-
physiological artifacts. The EMG data were
bandpass filtered with a 4th-order zero-lag
Butterworth filter from 20-450 Hz and then rectified.
Next, the EMG data were low-pass filtered at 10 Hz
to create a linear envelope. A moving window was
used to determine the maximum one second of
sustained EMG amplitudes for the MVICs. The job
task EMG amplitudes were divided into consecutive
one second intervals. The highest 10% and 50% of
EMG amplitudes were determined as a measure of
10% and 50% duty cycles.
Maximum 10% and 50% EMG amplitudes were
normalized by the maximum one second MVICs
(%MVIC). EMG amplitudes presented here are for
the dominant arm anterior deltoid, biceps brachii,
and trapezius muscles. The right and left side erector
spinae muscle results were averaged. Paired t-tests
were used to compare EMG amplitudes between
conditions (with and without the exoskeleton) in all
job tasks, with significance indicated at p < 0.03
(adjusted for 18 comparisons with 11 participants).
Maximum 50% deltoid amplitudes are presented for
individual job tasks (Figure 1) to explore if some
tasks benefited differently from exoskeleton usage.
42nd Annual Meeting of the American Society of Biomechanics, Rochester, MN, USA, August 8th – 11th, 2018
RESULTS AND DISCUSSION
Maximum 10% EMG amplitudes were significantly
reduced for the deltoid (p=0.02), biceps brachii
(p=0.01), and erector spinae (p=0.01) when wearing
the exoskeleton (Table 1). There was not a significant
change in trapezius EMG amplitudes (p=0.35). The
deltoid demonstrated the greatest magnitude of EMG
amplitude change: a 6.5% MVIC reduction with the
exoskeleton. Deltoid EMG standard deviations
exceeded the 39.5% TLV without the exoskeleton
but fell below this level with the exoskeleton.
Trapezius EMG standard deviations exceeded the
39.5% TLV both without and with the exoskeleton.
Maximum 50% EMG amplitudes were significantly
reduced for the deltoid (p<0.01), biceps brachii
(p<0.01), and erector spinae (p=0.03) when wearing
the exoskeleton (Table 1). There was not a significant
change in trapezius EMG amplitudes (p=0.61). The
deltoid showed the greatest magnitude of EMG
amplitude change: a 4.4% MVIC reduction with the
exoskeleton. Deltoid EMG average exceeded the
16.5% TLV without the exoskeleton, but the average
and standard deviation fell below this level with the
exoskeleton. Trapezius EMG averages exceeded the
16.5% TLV both without and with the exoskeleton.
Figure 1: Reduction in maximum 50% EMG
amplitudes for the deltoid as a function of job task.
Our hypothesis was supported by the significant
reduction in deltoid EMG amplitudes when wearing
the exoskeleton. Thus, the exoskeleton appeared to
support the primary deltoid functions of shoulder
flexion and abduction. Reductions in biceps brachii
EMG may be due to exoskeleton stabilization of the
shoulder to indirectly support elbow flexion. The
unexpected reductions in erector spinae EMG may
be explained by the exoskeleton reducing anterior
lean and promoting a more upright posture. Effects
on the trapezius were mixed, with possible benefits
of shoulder abduction support mixed with possible
shoulder strap restriction of scapular elevation.
We suggest assessing specific job tasks to determine
potential benefits of assistive devices. The Levitate
Airframe is most likely to benefit repetitive overhead
movements that challenge the deltoid. When
considering the different job tasks, there were tasks
where the exoskeleton was more beneficial than
others (Figure 1). We suggest that it is important to
consider EMG amplitudes and standard deviations
relative to TLVs as an indicator of fatigue and injury
risk. In addition, analyzing maximum 10% and 50%
EMG amplitudes may be useful for assessing risks
associated with low vs. high repetition tasks.
REFERENCES
1. BLS. Nonfatal occupational injuries and illnesses
requiring days away from work. 2016.
2. AAOS. OrthoInfo. 2010.
3. ACGIH. Threshold Limit Values (TLVs). 2016.
4. Gillette and Stephenson. ASB Proceedings.
Boulder, CO, USA, 2017.
ACKNOWLEDGEMENTS
The authors would like to acknowledge Terry Butler
(Lean Steps Consulting), Seth Burt (Toyota), Alex
Mason (Toyota), and Joseph Zawaideh (Levitate) for
their assistance in coordinating this study.
Table 1: Maximum 10% and 50% EMG amplitudes with and without the exoskeleton
Maximum 10% EMG Amplitude
Maximum 50% EMG Amplitude
(%MVIC)
Deltoid
Biceps
Trap
Spinae
Deltoid
Biceps
Trap
Spinae
Without
31.8±8.2
14.9±4.2
28.0±12.9
26.0±9.5
16.6±6.9
8.3±2.6
17.8±9.3
16.8±6.3
Exoskeleton
25.4±6.4*
13.5±3.9*
30.8±13.9
21.9±6.6*
12.2±3.3*
7.3±2.5*
18.7±9.0
14.5±4.4*
*indicates significantly reduced EMG amplitude when wearing the exoskeleton (p < 0.03)
0
2
4
6
8
10
12
Job
1Job
2Job
3Job
4Job
5Job
6Job
7Job
8Job
9Job
10
EMG Reduction (%MVIC)