Performance analysis of risk-aware control in upper limb of patients with post-stroke hemiparesis
Abstract:
Evidence
suggests that humans tune their motor behavior in response to
environmental uncertainty. Such risk-aware sensorimotor performance is
hypothetically affected in stroke due to impaired sensorimotor control,
but its existence and the detailed pattern of impairment remain unclear -
particularly due to lack of approaches for measurement of dynamic
performance in stroke. Here we present the design and implementation of a
platform for testing the upper-limb control in presence of motor
uncertainty. The platform monitors how a patient with stroke,
exclusively with the affected arm, navigates a virtual car by adjusting
the hand position. We focus on how the control behavior changes when the
car is perturbed with progressively larger Gaussian noise. Using this
platform, we successfully collected data from 4 healthy subjects and 4
patients with post-stroke hemiparesis. Initial evidence suggests that
patients with stroke failed to tune their performance with increasing
level of Gaussian perturbation. The results imply that the risk-aware
behavior potentially provides a new modality of biofeedback useful in
therapeutic interventions.
Published in:
Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE
Date of Conference:
11-15 July 2017
Date Added to IEEE Xplore:
14 September 2017
ISBN Information:
Electronic ISSN: 1558-4615
Publisher:
IEEE
Conference Location:
Jeju Island, South Korea, South Korea
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