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IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 4, 2013 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 907
Abstract— This paper describes Biomechanical model of
arm which is totally computational approach for modeling
the complex mechanical properties of muscles of Hand. This
can be embodied as a simulation model for use with Matlab
and Simulink. The model allows the creation of realistic
Muscle structure and movement of arm. Here we have
considered elbow movement and the muscle which are
activated during the elbow movement. Flexion and
extension of elbow and associated muscles are studied. This
paper also gives relation between force and given
stimulation to particular muscle. The model presented here
can be employed to design FES controller for subject who
suffered from quadriplegia due to spinal cord injury (SCI) or
multiple sclerosis (MS)
Key Words: Flexion, Extension, Muscle study of Elbow,
MSMS
I. INTRODUCTION
To restore normal movement in subject with spinal cord
injured which caused quadriplegia in the subject FES
(Functional Electrical Stimulation ) can be used to restore
the motor functions[3] .Human being is more precise in
nature also more sensitive so before applying stimulation
directly to human body first we need to check it on virtual
muscle model(Computational model of Human body with
muscle) and then after observing all parameter in
computational model according to requirement we can apply
stimulation on subject .For this purpose development and
evaluation of real time Computational model for such type
of devices is primary concept of this paper. Operating a FES
require accurate control. This computational model can be
helpful in designing control system for FES.
Neuromusculoskeletal modeling provides insights into the
muscular system which are not always obtained through
experiment or observation alone. One of the major
challenges in Neuromusculoskeletal modeling is to
accurately estimate the musculotendon parameters on a
subject-specific basis. Biomechanical models of the
musculoskeletal system are frequently used to study
neuromuscular control and simulate surgical procedures.
Here we report on the development of a computational
model that can simulate the behavior of elbow muscle in
partially paralyzed patient considering muscles geometric
parameters such as PCSA, number of sarcomeres in series,
Optimal fascicle length etc. that has effect on force
generating capacity of muscles.[16]
II. METHOD
This model is particularly developed for Elbow movement.
In this model we considered five rigid body segments
including Scapula, humerus, radius ulna and Hand; three
joints-Shoulder joint, Elbow joint and Wrist joint. Model
gives two movements of elbow flexion and extension. Here
we want to develop only model for elbow movement, we fix
the Movement of Shoulder and Wrist joint in this model.
The model is built using MSMS (Musculoskeletal modelling
software) and MATLAB.
To achieve real movement and measure the force
generated in elbow we use weld type of joint in shoulder so
humerus is fixed with no motion at the Shoulder. Six
electrically stimulated muscles which generate Elbow
movement are considered and force generated by that
muscles are plotted. Brachialis, Brachioradialis, Biceps,
ECRL, Brachialis, pronator teres, Triceps, Flexor Carpi
ulnaris, Ancones are taken and put into the model for elbow
movement. MSMS has a ADD JOINT command in model
menu so we can add required joint and its Appropriate
property of the Joint shown in fig.2. Also software provide
us options for the types of Joint which we want to use for
example weld type, pin-revolute type, bearing type etc. Here
we kept the Shoulder joint as a weld type joint to fix it and
other two joints are pin-revolute type joint. Elbow angle is
from 10 to 160 degree.
Fig. 1: Musculoskeletal model of arm in MSMS
Default angle is 90 degree for elbow joint. Following figure
shows the musculoskeletal model for Elbow movement in
MSMS. All the muscles which are listed above are added by
using ADD MUSCLE Command from Model menu of
menu bar. Muscle attachments are shown in following
model by red line shown in fig 1. After Clicking on ADD
MUSCLE command cursor of window in MSMS will turn
into red colour then decide the origin of muscle and draw
the straight path between the origin and the insertion point.
After that panel of model software shows individual window
Simulation of Elbow Movement with MSMS and MATLAB
Ms. R. A. Khoja1
J. B. Vyas2
K. B. Bhoyania3
1
Student 2, 3
H.O. D.
1, 3
Government Engineering College, Gandhinagar
2
L.D. Engineering College, Ahmedabad, Gujarat, India
Simulation of Elbow Movement with MSMS and MATLAB
(IJSRD/Vol. 1/Issue 4/2013/0024)
All rights reserved by www.ijsrd.com 908
for setting the default and Morphometry parameter of
individual muscles (fig 3)
Fig. 2 Property of Elbow Joint Window in MSMS
This Morphometry parameter for the all muscle is shown in
following Table I. To complete the model related
architectural parameters are taken from paper reported by
Murray [1]. Following table shows the name of muscle and
related architectural parameter given by Murray [6].
Sr.
No
Name of the
Muscle
Tendo
n
Length
Optima
l muscle
length
Optima
l
Fascicl
e length
PC
SA
1 Brachioradialis 16.9 26.0 17.7 1.2
2 Biceps-long 22.9 21.6 12.8 2.5
3 Biceps-short 18.3 23.4 14.5 2.1
4 ECRL 24.8 13.9 9.2 1.5
5 Brachialis 11.6 21.2 9.9 5.4
6 Pronator teres 12.0 17.6 5.5 2.8
7 Triceps long 21.7 35.6 12.7 4.3
8 Triceps short 18.7 29.1 9.3 10.
5
Table 1: Summary for architectural parameter
After making model in MSMS and setting up all the
parameter we create Simulation Model is in MATLAB.
Pulse generator from Simulink library of MATLAB is given
for the excitation to each muscle .Pulse generator parameter
like pulse width, amplitude, phase delay and period is given
according to the requirement of movement.
For run the model and see the movement we have to run
the Simulink model generated in MATLAB. We can also
see the live movement of arm while the Simulink model is
running by setting the Animation path from Animation
Menu of MSMS menu bar Shown as following fig.4
III. RESULTS
After completing the model, MSMS has one option in
Model menu bar PLOT ANATOMICAL DATA which can
Fig. 3: Muscle property Window in MSMS
Fig. 4: Animation Setup Window of MSMS
Plot the anatomical data of muscle when we set the muscle
attribute, Name of joint and Name of muscles. Muscle
fibre generates tension during the action
of actin and myosin cross-bridge cycling. While under
tension, the muscle may lengthen, shorten, or remain the
same. From the Graph we can say that the principle muscle
acts for the flexion of the Elbow are Biceps, Brachialis,
Brachioradialis and pronator teres. Extension caused by
mainly due to the contribution of Triceps muscle. Also
according to the load, role of Triceps long and triceps short
may be varied. Anconeous muscle also provides little bit
contribution in extension of elbow. The generation of Forces
in Elbow is very large when elbow extends from a flexed
posture. Generated force is calculated from this equation
from following formula as [4].
Force = PCSA * Maximum isometric Stress [4]
Following figures shows the graph of various attributes of
muscle varuses Elbow joint. Fig.5 shows the curve which
represent ALL ELBOW MUSCLE Fascicle length and
Elbow joint curve. Here Brachioradialis (Yellow line in
curve fig. 5) has longest fascicle length whereas pronator
teres (Light pink line in curve fig. 5) has shorter fascicle
length. Brachioradialis (Yellow line in fig. 5) have a larger
moment generating capacity. ECRL (Pink line in fig. 5) has
Simulation of Elbow Movement with MSMS and MATLAB
(IJSRD/Vol. 1/Issue 4/2013/0024)
All rights reserved by www.ijsrd.com 909
a similar muscle path as Brachioradialis but shortest fascicle
length than Brachioradialis.
The colour representation for all the curves shown
below is as follow,
Fig.5: Anatomical Graph of various Muscles’ Fascicle
Length versus Elbow joint in MSMS
Fig. 6: Anatomical Graph of various Muscles’ Active
Fascicle Force versus 4Elbow joint in MSMS
Fig 6 shows the active force generated during Muscle
action. Brachioradialis (Yellow line in fig. 6) and Biceps
(Blue line in fig. 6) have broad range of force generating
area .Fig. 7 Shows the Total fascicle force length and elbow
joint.
Fig.7 Anatomical Graph of various Muscles’ Total Fascicle
Force versus Elbow joint in MSMS
IV. CONCLUSION
We have tried to model correctly all the Elbow muscle and
Elbow joint. From all these Graphs we can study and
analyse the muscle attribute by changing the value of
Morphometry parameter of muscle and also by changing the
control parameter through sim model of MATLAB. We
observe that Biceps has larger area for force curve than
Triceps due to it’s Architectural difference. These results
also give the fundamental difference in muscle force
generating capacity and movement produce by that
particular muscle. Brachioradialis give more contribution in
Elbow Flexion. all these due to Muscle Architecture and
stimulation given to the particular muscle by pulse
generator. Also we can see the effect on virtual muscle and
joint movement. This study provides best way to design a
FES system which is used for subject who suffered from
paralysis. Also this model try to cope the study of all type of
muscles and it’s vital role in movement. Neuroprosthesis
developer can use this model for virtual testing and then
accordingly develop the FES system .We can change the
Morphometry data according to subject so no specific data is
require to run the model .Also selection of MATLAB base
simulation environment enables model to share with
everyone. The Study improves upon previous anatomical
investigation of Elbow muscle by considering more number
of muscles. We are also developing the same model for the
Wrist movement in real time environment and also try to
validate these data with real time available data. Finally we
can conclude that Architectural property of muscle is a good
predictor of the Muscle Function.
ACKNOWLEDGMENT
This Work is supported by the Government Engineering
College, Gandhinagar, and Gujarat. We would like to
express our sincere thanks to all the people who supported
us.
We would like to acknowledge our sincere thanks
to Dr.Tyagi and Dr.Ankit Pandya for giving information
regarding each muscle and it’s effect when it will stimulate
extrernally.
REFERENCES
[1] Architecture and Functional Specifications of the
Muscles of the Antibrachium and Manus Regions of
the African Ass (Equus asinus) M.H. Fayed
Department of Anatomy, Faculty of Veterinary
Medicine, Kafer El-Sheikh University, Kafer El-
Sheikh 33516, Egypt 2010
[2] Biomechanical Model of the Quadriplegia Human
Arm as Aid in Analysis of Functional Electrical
Stimulator Control Prof. Kunal Bhoyaniya1 , Bhavesh
Parmar2,
[3] Maria Claudia ferrari de castro and alberto cliquet,Jr.
“Artificial Grasping system for paralyzed hand”
Department of Orthopaedics and tromatology,Faculty
of medical science,state university of campanias-
campanias and department of electrical
engineering,Engineering school of sao Paulo,sao
carlos Brazil Artificial organ vol-24 2000
Simulation of Elbow Movement with MSMS and MATLAB
(IJSRD/Vol. 1/Issue 4/2013/0024)
All rights reserved by www.ijsrd.com 910
[4] Wendy M. Murray!,*, Thomas S. Buchanan", Scott L.
Delp “The isometric functional capacity of muscles
that cross the elbow “ Journal of biomechanics 33
(2000) 943 952
[5] “Comparison of Dynamic Engine for musculoskeletal
modeling software MSMS” Peman T. Montazemi,
Rahman Davoodi and Gerald E. Loeb A. E. Mann
Institute and Biomedical Engineering Department,
University of Southern California Los Angeles, CA
90089, USA
[6] “Modeling Anthropomorphism in Dynamic Human
Arm Movements “Pantelis T. Katsiaris, Panagiotis K.
Artemiadis and Kostas J. Kyriakopoulos. FP7-ICT-
2009-4-2-1
[7] “Stimulus-locked responses on human arm muscles
reveal a rapid neural pathway linking visual input
to arm motor output”-European Journal of
neuroscience pp 1-9-2010
[8] “Skeletal muscle mechanics: implications for
rehabilitation” Richard L Lieber and Sue C Bodine-
Fowler PHYS THER. 1993; 73:844-856.Journal of
American physical therapy association
[9] “Prediction of handgrip forces using surface EMG of
forearm muscles” Marco J.M. Hoozemans *, Jaap H.
van Dieen -Journal of Electromyography and
Kinesiology 15 (2005) 358–366
[10] Wendy M. Murray, Thomas S. Buchanan", Scott L.
Delp-“ Variation Of muscle moment arm With Elbow
and Forearm Position” Journal of Biomechanics
0021-9290(94)00114-6-1995.

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Simulation of Elbow Movement with MSMS and MATLAB

  • 1. IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 4, 2013 | ISSN (online): 2321-0613 All rights reserved by www.ijsrd.com 907 Abstract— This paper describes Biomechanical model of arm which is totally computational approach for modeling the complex mechanical properties of muscles of Hand. This can be embodied as a simulation model for use with Matlab and Simulink. The model allows the creation of realistic Muscle structure and movement of arm. Here we have considered elbow movement and the muscle which are activated during the elbow movement. Flexion and extension of elbow and associated muscles are studied. This paper also gives relation between force and given stimulation to particular muscle. The model presented here can be employed to design FES controller for subject who suffered from quadriplegia due to spinal cord injury (SCI) or multiple sclerosis (MS) Key Words: Flexion, Extension, Muscle study of Elbow, MSMS I. INTRODUCTION To restore normal movement in subject with spinal cord injured which caused quadriplegia in the subject FES (Functional Electrical Stimulation ) can be used to restore the motor functions[3] .Human being is more precise in nature also more sensitive so before applying stimulation directly to human body first we need to check it on virtual muscle model(Computational model of Human body with muscle) and then after observing all parameter in computational model according to requirement we can apply stimulation on subject .For this purpose development and evaluation of real time Computational model for such type of devices is primary concept of this paper. Operating a FES require accurate control. This computational model can be helpful in designing control system for FES. Neuromusculoskeletal modeling provides insights into the muscular system which are not always obtained through experiment or observation alone. One of the major challenges in Neuromusculoskeletal modeling is to accurately estimate the musculotendon parameters on a subject-specific basis. Biomechanical models of the musculoskeletal system are frequently used to study neuromuscular control and simulate surgical procedures. Here we report on the development of a computational model that can simulate the behavior of elbow muscle in partially paralyzed patient considering muscles geometric parameters such as PCSA, number of sarcomeres in series, Optimal fascicle length etc. that has effect on force generating capacity of muscles.[16] II. METHOD This model is particularly developed for Elbow movement. In this model we considered five rigid body segments including Scapula, humerus, radius ulna and Hand; three joints-Shoulder joint, Elbow joint and Wrist joint. Model gives two movements of elbow flexion and extension. Here we want to develop only model for elbow movement, we fix the Movement of Shoulder and Wrist joint in this model. The model is built using MSMS (Musculoskeletal modelling software) and MATLAB. To achieve real movement and measure the force generated in elbow we use weld type of joint in shoulder so humerus is fixed with no motion at the Shoulder. Six electrically stimulated muscles which generate Elbow movement are considered and force generated by that muscles are plotted. Brachialis, Brachioradialis, Biceps, ECRL, Brachialis, pronator teres, Triceps, Flexor Carpi ulnaris, Ancones are taken and put into the model for elbow movement. MSMS has a ADD JOINT command in model menu so we can add required joint and its Appropriate property of the Joint shown in fig.2. Also software provide us options for the types of Joint which we want to use for example weld type, pin-revolute type, bearing type etc. Here we kept the Shoulder joint as a weld type joint to fix it and other two joints are pin-revolute type joint. Elbow angle is from 10 to 160 degree. Fig. 1: Musculoskeletal model of arm in MSMS Default angle is 90 degree for elbow joint. Following figure shows the musculoskeletal model for Elbow movement in MSMS. All the muscles which are listed above are added by using ADD MUSCLE Command from Model menu of menu bar. Muscle attachments are shown in following model by red line shown in fig 1. After Clicking on ADD MUSCLE command cursor of window in MSMS will turn into red colour then decide the origin of muscle and draw the straight path between the origin and the insertion point. After that panel of model software shows individual window Simulation of Elbow Movement with MSMS and MATLAB Ms. R. A. Khoja1 J. B. Vyas2 K. B. Bhoyania3 1 Student 2, 3 H.O. D. 1, 3 Government Engineering College, Gandhinagar 2 L.D. Engineering College, Ahmedabad, Gujarat, India
  • 2. Simulation of Elbow Movement with MSMS and MATLAB (IJSRD/Vol. 1/Issue 4/2013/0024) All rights reserved by www.ijsrd.com 908 for setting the default and Morphometry parameter of individual muscles (fig 3) Fig. 2 Property of Elbow Joint Window in MSMS This Morphometry parameter for the all muscle is shown in following Table I. To complete the model related architectural parameters are taken from paper reported by Murray [1]. Following table shows the name of muscle and related architectural parameter given by Murray [6]. Sr. No Name of the Muscle Tendo n Length Optima l muscle length Optima l Fascicl e length PC SA 1 Brachioradialis 16.9 26.0 17.7 1.2 2 Biceps-long 22.9 21.6 12.8 2.5 3 Biceps-short 18.3 23.4 14.5 2.1 4 ECRL 24.8 13.9 9.2 1.5 5 Brachialis 11.6 21.2 9.9 5.4 6 Pronator teres 12.0 17.6 5.5 2.8 7 Triceps long 21.7 35.6 12.7 4.3 8 Triceps short 18.7 29.1 9.3 10. 5 Table 1: Summary for architectural parameter After making model in MSMS and setting up all the parameter we create Simulation Model is in MATLAB. Pulse generator from Simulink library of MATLAB is given for the excitation to each muscle .Pulse generator parameter like pulse width, amplitude, phase delay and period is given according to the requirement of movement. For run the model and see the movement we have to run the Simulink model generated in MATLAB. We can also see the live movement of arm while the Simulink model is running by setting the Animation path from Animation Menu of MSMS menu bar Shown as following fig.4 III. RESULTS After completing the model, MSMS has one option in Model menu bar PLOT ANATOMICAL DATA which can Fig. 3: Muscle property Window in MSMS Fig. 4: Animation Setup Window of MSMS Plot the anatomical data of muscle when we set the muscle attribute, Name of joint and Name of muscles. Muscle fibre generates tension during the action of actin and myosin cross-bridge cycling. While under tension, the muscle may lengthen, shorten, or remain the same. From the Graph we can say that the principle muscle acts for the flexion of the Elbow are Biceps, Brachialis, Brachioradialis and pronator teres. Extension caused by mainly due to the contribution of Triceps muscle. Also according to the load, role of Triceps long and triceps short may be varied. Anconeous muscle also provides little bit contribution in extension of elbow. The generation of Forces in Elbow is very large when elbow extends from a flexed posture. Generated force is calculated from this equation from following formula as [4]. Force = PCSA * Maximum isometric Stress [4] Following figures shows the graph of various attributes of muscle varuses Elbow joint. Fig.5 shows the curve which represent ALL ELBOW MUSCLE Fascicle length and Elbow joint curve. Here Brachioradialis (Yellow line in curve fig. 5) has longest fascicle length whereas pronator teres (Light pink line in curve fig. 5) has shorter fascicle length. Brachioradialis (Yellow line in fig. 5) have a larger moment generating capacity. ECRL (Pink line in fig. 5) has
  • 3. Simulation of Elbow Movement with MSMS and MATLAB (IJSRD/Vol. 1/Issue 4/2013/0024) All rights reserved by www.ijsrd.com 909 a similar muscle path as Brachioradialis but shortest fascicle length than Brachioradialis. The colour representation for all the curves shown below is as follow, Fig.5: Anatomical Graph of various Muscles’ Fascicle Length versus Elbow joint in MSMS Fig. 6: Anatomical Graph of various Muscles’ Active Fascicle Force versus 4Elbow joint in MSMS Fig 6 shows the active force generated during Muscle action. Brachioradialis (Yellow line in fig. 6) and Biceps (Blue line in fig. 6) have broad range of force generating area .Fig. 7 Shows the Total fascicle force length and elbow joint. Fig.7 Anatomical Graph of various Muscles’ Total Fascicle Force versus Elbow joint in MSMS IV. CONCLUSION We have tried to model correctly all the Elbow muscle and Elbow joint. From all these Graphs we can study and analyse the muscle attribute by changing the value of Morphometry parameter of muscle and also by changing the control parameter through sim model of MATLAB. We observe that Biceps has larger area for force curve than Triceps due to it’s Architectural difference. These results also give the fundamental difference in muscle force generating capacity and movement produce by that particular muscle. Brachioradialis give more contribution in Elbow Flexion. all these due to Muscle Architecture and stimulation given to the particular muscle by pulse generator. Also we can see the effect on virtual muscle and joint movement. This study provides best way to design a FES system which is used for subject who suffered from paralysis. Also this model try to cope the study of all type of muscles and it’s vital role in movement. Neuroprosthesis developer can use this model for virtual testing and then accordingly develop the FES system .We can change the Morphometry data according to subject so no specific data is require to run the model .Also selection of MATLAB base simulation environment enables model to share with everyone. The Study improves upon previous anatomical investigation of Elbow muscle by considering more number of muscles. We are also developing the same model for the Wrist movement in real time environment and also try to validate these data with real time available data. Finally we can conclude that Architectural property of muscle is a good predictor of the Muscle Function. ACKNOWLEDGMENT This Work is supported by the Government Engineering College, Gandhinagar, and Gujarat. We would like to express our sincere thanks to all the people who supported us. We would like to acknowledge our sincere thanks to Dr.Tyagi and Dr.Ankit Pandya for giving information regarding each muscle and it’s effect when it will stimulate extrernally. REFERENCES [1] Architecture and Functional Specifications of the Muscles of the Antibrachium and Manus Regions of the African Ass (Equus asinus) M.H. Fayed Department of Anatomy, Faculty of Veterinary Medicine, Kafer El-Sheikh University, Kafer El- Sheikh 33516, Egypt 2010 [2] Biomechanical Model of the Quadriplegia Human Arm as Aid in Analysis of Functional Electrical Stimulator Control Prof. Kunal Bhoyaniya1 , Bhavesh Parmar2, [3] Maria Claudia ferrari de castro and alberto cliquet,Jr. “Artificial Grasping system for paralyzed hand” Department of Orthopaedics and tromatology,Faculty of medical science,state university of campanias- campanias and department of electrical engineering,Engineering school of sao Paulo,sao carlos Brazil Artificial organ vol-24 2000
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