Grasping of stroke patients is often affected by improper coactivation of muscles controlling the fingers. The restoration of hand function therefore represents an important goal in rehabilitation. Quantitative data on coordination between fingers can be helpful for the assessment of therapy effectiveness. We have designed a novel isometric finger device to assess three-dimensional forces applied by the thumb, index, and middle finger. The device was used in connection with a simple virtual reality task where the patient had to open a safe by sequentially rotating a knob using the isometric finger input. The presented virtual reality application was evaluated in a group of healthy subjects and a chronic stroke patient to obtain preliminary performance results. We analyzed the coordination of fingertip forces between the thumb and opposing fingers. Pearson correlation coefficient was determined to assess the coordination of force in each direction. In healthy subjects, the analysis of the fingertip forces showed precise coordination of force between the fingers to control a virtual object. The performance of the stroke patient was considerably lower due to reduced muscle control and presence of strong spasticity. The results showed use of excessive force in both hands and lower coordination of force between the fingers as compared to the healthy subjects. The proposed virtual reality system is considered as a complementary method to the existing methods used in physical and occupational therapy. Specific virtual reality tasks could be designed to train coordination of force between the affected fingers.

1.
Boissy
,
P.
,
Bourbonnais
,
D.
,
Carlotti
,
M. M.
,
Gravel
,
D.
, and
Arsenault
,
B. A.
, 1999, “
Maximal Grip Force in Chronic Stroke Subjects and Its Relationship to Global Upper Extremity Function
,”
Clin. Rehabil.
0269-2155,
13
, pp.
354
362
.
2.
Fellows
,
S. J.
,
Ernst
,
J.
,
Schwarz
,
M.
,
Töpper
,
R.
, and
Noth
,
J.
, 2001, “
Precision Grip Deficits in Cerebellar Disorders in Man
,”
Clin. Neurophysiol.
1388-2457,
112
, pp.
1793
1802
.
3.
Hermsdörfer
,
J.
,
Hagl
,
E.
,
Nowak
,
D. A.
, and
Marquardt
,
C.
, 2003, “
Grip Force Control During Object Manipulation in Cerebral Stroke
,”
Clin. Neurophysiol.
1388-2457,
114
, pp.
915
929
.
4.
Kamper
,
D. G.
, and
Rymer
,
W. Z.
, 2001, “
Impairment of Voluntary Control of Finger Motion Following Stroke: Role of Inappropriate Muscle Coactivation
,”
Muscle Nerve
0148-639X,
24
, pp.
673
681
.
5.
Bütefisch
,
C.
,
Hummelsheim
,
H.
,
Denzler
,
P.
, and
Mauritz
,
K. H.
, 1995, “
Repetitive Training of Isolated Movements Improves the Outcome of Motor Rehabilitation of the Centrally Paretic Hand
,”
J. Neurol. Sci.
0022-510X,
130
, pp.
59
68
.
6.
Merians
,
A. S.
,
Jack
,
D.
,
Boian
,
R.
,
Tremaine
,
M.
,
Burdea
,
G. C.
,
Adamovich
,
S. V.
,
Recce
,
M.
, and
Poizner
,
H.
, 2002, “
Virtual Reality-Augmented Rehabilitation for Patients Following Stroke
,”
Phys. Ther.
0031-9023,
82
, pp.
898
915
.
7.
Moline
,
J.
, 1998, “
Virtual Reality for Health Care: A Survey
,” in
Virtual Reality in Neuro-Psycho-Physiology
,
Riva
G.
, ed.,
IOS
,
Amsterdam, Netherlands
.
8.
Greenleaf
,
W.
, and
Piantanida
,
T.
, 2000, “
Medical Applications of Virtual Reality Technology
,” in
The Biomedical Engineering Handbook
, 2nd ed.,
Bronzino
,
J. D.
, ed.,
CRC
,
Boca Raton, FL
, Vol.
II
.
9.
Jack
,
D.
,
Boian
,
R.
,
Merians
,
A. S.
,
Tremaine
,
T.
,
Burdea
,
G. C.
,
Adamovich
,
S. V.
,
Recce
,
M.
, and
Poizner
,
H.
, 2001, “
Virtual Reality-Enhanced Stroke Rehabilitation
,”
IEEE Trans. Neural Syst. Rehabil. Eng.
1534-4320,
9
, pp.
308
318
.
10.
Holden
,
M. K.
, and
Dyar
,
T.
, 2002, “
Virtual Environment Training: A New Tool for Neurorehabilitation
,”
Neurology Report
,
26
, pp.
62
71
.
11.
Burdea
,
G.
, and
Deshpande
,
S.
, 1997, “
A Virtual Reality-Based System for Hand Diagnosis and Rehabilitation
,”
Presence: Teleoperators & Virtual Environments
,
6
, pp.
229
241
.
12.
Chuang
,
T. Y.
,
Huang
,
W. S.
,
Chiang
,
S. C.
,
Tsai
,
Y. A.
,
Doong
,
J. L.
, and
Cheng
,
H.
, 2002, “
A Virtual Reality-Based System for Hand Function Analysis
,”
Comput. Methods Programs Biomed.
0169-2607,
69
, pp.
189
196
.
13.
Sveistrup
,
H.
, 2004, “
Motor Rehabilitation Using Virtual Reality
,”
Journal of NeuroEngineering and Rehabilitation
,
1
, pp.
1
10
.
14.
Ashe
,
J.
, 1997, “
Force and the Motor Cortex
,”
Behav. Brain Res.
0166-4328,
86
, pp.
1
15
.
15.
Murray
,
R. M.
,
Li
,
Z.
, and
Sastry
,
S. S.
, 1994,
A Mathematical Introduction to Robotic Manipulation
,
CRC
,
New York
.
16.
Kurillo
,
G.
,
Mihelj
,
M.
,
Munih
,
M.
, and
Bajd
,
T.
, 2007, “
Multi-Fingered Grasping and Manipulation in Virtual Environments Using an Isometric Finger Device
,”
Presence: Teleoperators & Virtual Environments
,
16
, pp.
293
306
.
17.
Li
,
Z. M.
,
Latash
,
M. L.
, and
Zatsiorsky
,
V. M.
, 1998, “
Force Sharing Among Fingers as a Model of the Redundancy Problem
,”
Exp. Brain Res.
0014-4819,
119
, pp.
276
286
.
18.
Muellbacher
,
W.
,
Richards
,
C.
,
Ziemann
,
U.
,
Wittenberg
,
G.
,
Weltz
,
D.
,
Boroojerdi
,
B.
,
Cohen
,
L.
, and
Hallett
,
M.
, 2002, “
Improving Hand Function in Chronic Stroke
,”
Arch. Neurol.
0003-9942,
59
, pp.
1278
1282
.
You do not currently have access to this content.