Virtual Reality-Based Exercise

A Model for Post-Acute Stroke Rehabilitation

Stroke or cerebrovascular accident (CVA) been cited as the third leading cause of death in the developed countries, exceeded only by coronary heart disease and cancer. Patients with stroke typically suffer dysfunctions that impair the complex set of motions involved in motor movements e.g. walking, talking, handling, etc. Impairments in walking (ambulation) make it difficult for the disabled to form relationships, share ideas, find and carry out employment, offer and obtain help, and can result in feelings of isolation.


Physical Therapy evidence suggests that increasing intensity of rehabilitation results in better motor recovery. The challenge is in the ability to provide and sustain this intensity of rehabilitation with scarce resources, especially in the developing countries. The present treatment process, in which stroke patients are usually seen for less than an hour twice a day in a hospital or rehabilitation center, or once a week as outpatients, does not adequately prepare them for the challenge involved in the complex task of walking, especially for the post-acute CVA patients.


When traditional rehabilitation is administered to a patient after the occurrence of stroke, therapy ceases when the patient reaches maximum level of recovery called plateau. The tests that therapists use to determine the point of plateau are not sensitive enough to detect small but important changes in recovery thereafter. This research effort employed virtual reality-based exercise for improvements beyond plateau in post-acute stroke patients.


Continuing Professional Development

This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.


23 Jun 2022

7:00pm - 8:30pm

Add to Calendar 06/23/2022 19:00 06/23/2022 20:30 Virtual Reality-Based Exercise This talk focused on the use of technology for post-acute stroke patients in their rehabilitation for motor improvements.


Wales South West Local Network

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Professor Felix O. Akinladejo

Professor Felix O. Akinladejo

Professor of Computer Information Systems - University of Technology, Jamaica