A
method for the evaluation of the elbow functional control in patients after
stroke
Rong
Song, Kaiyu
Tong, Sin Fai Tsang
Jockey
Club Rehabilitation Engineering Centre,
The
The purpose of this study was to
quantitatively compare the difference between unaffected arm and affected arm
of subjects after stroke in voluntary elbow tracking movements. Six subjects were recruited to perform voluntary elbow flexion and extension by following sinusoidal trajectories at different angular velocities (10, 20, 30, 40, 50, and 60 deg/s) on the
horizontal plane. From experiment results, there was an increase of root mean square error (RMSE) in both affected arm and unaffected arm with the
increase of tracking velocity. The RMSEs of unaffected arm were ![]()
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deg respectively from 10 deg
/s to 60 deg/s, which is much lower than those of the affected arm (The RMSEs of affected arm were
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deg respectively
from 10 deg/s to 60 deg/s). The
result showed the RMSE can be a useful performance index to evaluate the elbow
control function of subjects after stroke during the tracking test.
Clinical scales, such as Ashworth score and Fugl-Meyer scale were often used to evaluate upper limb deficits from different aspects [1, 2]. However, most of these clinical
scales are a semi-quantitative method, which may not be very sensitive to measure and detect small change
during the rehabilitation.
In order to find the better treatment strategies and accurately
evaluate the upper limb improvement of neruomusculoskeletal system during
rehabilitation training, the upper limb function is better to be investigated comprehensively, extensively and quantitatively.
Trajectory-tracking has been a useful tool to evaluate sensorimotor
control function of upper limb which coupling both perception-action and motor
execution [3, 4]. Furthermore, trajectory-tracking
tasks provide a uniform scale for nervous
system to follow and corrective by the feedback across different subjects.
The main objective of this study is to
systematically identify the elbow control ability of subjects after stroke during voluntary elbow tracking tasks, RMSE between elbow angle and target angle is used as a performance index.
2. METHODS
2.1 Experiment procedures
A group of six subjects with stroke (four males and two females) were recruited in this study. The mean age of
subjects was
years with the
range of 37 – 57 years. Before the test, all subjects were introduced with
the experiment protocol and gave informed consents which followed the procedures established by The Hong Kong
Polytechnic University. In the experiment, subjects were asked to sit beside the
table with the manipulandum (Fig. 1). A strap was used to fix the upper arm to a supporter on the table.
The height of the table was adjusted so that the arm was in horizontal plane with the same height of the shoulder. The
shoulder was in
abduction and
flexion. The forearm was
attached to a manipulandum and
the axis of rotation was in line with the elbow joint. There was a computer screen in front of the subjects, which displayed both target and measured elbow joint angle. When the indicator light on the screen turned green, the trial started and the pointer slide moved with
the defined speed in a
sinusoidal trajectory from
to
for 36 seconds (elbow angle was defined as
when the elbow was in full extension). The subjects were instructed to start at
and try their best to follow the target. The measured elbow
angle was displayed in another pointer slide to form the real time feedback.

Fig. 1 Block diagram of experiment setup
Subjects were provided 18 trials structured
in 3 sections, each section consisted of six trials with different angular velocities
(10, 20 30, 40, 50, 60 deg/s) arranged in a random sequence. The subjects had a 30 s rest between each trial and 5 minutes rest between each section. All subjects performed the task with both affected
and unaffected arms.
2.2 Data Analysis
Angular
displacement of the elbow joint was recorded by a flexible electrogoniometer (
RMSE=
(1)


Fig.
2 Target (dotted line) and three
measured elbow trajectories
(solid lines) of affected arm (a, b,
c, d, e, f), and unafected arm (g, h, i,
j, k, l) of a stroke subject during voluntary elbow tracking at different velocities
(a, g: 10 deg/s; b, h: 20 deg/s; c, i: 30 deg/s; d, j: 40 deg/s; e, k: 50 deg/s;
f, l: 60 deg/s)
Where
was the target elbow angle
at ith sampling instant and
was the actual elbow angle at ith sampling. N
was the total number of samples. The RMSE was computed for each trial and averaged from
the three trials with the same velocity.
A two-way (factor1:
side, factor2: velocity) mixed design with repeated-measures analysis of variance
(ANOVA) was used for affected side and unaffected side of subjects after
stroke. Paired t-test was
performed to test difference between two sides of subjects for each velocity. The significant level was set at 0.05.
3.
RESULT

Fig. 3 Comparison between the RMSE of
unaffected arm (
) and the RMSE of affected (*) arm at six velocities (10, 20,
30, 40, 50, 60 deg/s) during elbow tracking movement. Vertical bars indicate standard
deviation.
Fig. 2 showed the elbow angular trajectory of unaffected
arm and affected arm from a subject at six velocities. The trajectory of the unaffected arm was smoother than that of affected arm. The RMSE values of unaffected arm were
deg respectively from 10 deg /s to 60 deg /s, while the RMSE values of affected arm were ![]()
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deg respectively
from 10 deg /s to 60 deg /s. Fig. 3 showed
the comparison of RMSE between unaffected arm and affected arm with the effect
of velocity. There was an increase in the root mean square error (RMSE) for both affected arm and unaffected arm with the
increase of tracking velocity. The standard deviation
also increased with tracking velocity. There was significant difference between
RMSE of affected arm and unaffected arm with two way repeated measures ANOVA
(p<0.001). There is a significant increase of RMSE of affected arm in
compare to unaffected arm at all the velocities (p<0.05).
4. DISCUSSION AND CONCLUSIONS
Because of the damage
in the motor cortex and immobilization after stroke, there are many factors
that interfere with the sensorimotor control function of upper limb: muscle weakness [5], response delay [6] and abnormal muscle activation [7] which may affect the arm tracking result of affected arm. This study showed significant difference between affected arm and
unaffected arm during arm tracking experiment at different velocities. This is an alternative method to evaluate
elbow functional control of patients after strok
[1] Ashworth B. Preliminary Trial of
Carisprodol in Multiple Sclerosis. Practition, 192:540-542, 1964.
[2] Fugl-Meyer AR, Jaasko I, Leyman I, Olssom S, Steglind S. The
post-stroke hemiplegic patient. I. A method for evaluation of physical
performance. Scand. J. Rehab. Med., 7:13-31, 1975.
[3] Ju
MS, Lin CCK,Chen JR, Cheng HS, Lin CW. Performance of elbow tracking under
constant torque disturbance in normotonic stroke patients and normal subjects. Clin. Biomech., 17:640-649, 2002.
[4] Patten C, Kothari D, Whitney J, Lexell J, Lum PS. Reliability and
responsiveness of elbow trajectory tracking in chronic poststroke hemiparesis. J. Rehabil. Res. Dev., 40(6): 487–500, 2003.
[5] Koo, TK, Mak AF, Hung LK, Dewald
JP.Joint position dependence of weakness during maximum isometric voluntary
contractions in subjects with hemiparesis. Arch.
Phys. Med. Rehabil. 84:1380-1386, 2003.
[6] Chae J,Yang G, Park BK, Labatia I. Delay
in initiation and termination of muscle contraction, motor impairment, and
physical disability in upper limb hemiparesis. Muscle Nerve. 25(4):568-75, 2002.
[7] Canning CG,
Acknowledgments
The project was funded by the Hong Kong Polytechnic University
G-T598 and the Research Grants Council of Hong Kong PolyU 5320/03E