Impact of Intelligent Biofeedback during Rehabilitation of Professional Athletes: A Model for Next Generation Smart Healthcare System

Owais Ahmed Malik; SMN Arosha Senanayake

doi:10.46537/scibru.v15i0.38

Owais Ahmed Malik Motion Analysis Lab, Universiti Brunei Darussalam
SMN Arosha Senanayake Universiti Brunei Darussalam

DOI: https://doi.org/10.46537/scibru.v15i0.38

Abstract

This paper presents a general framework of intelligent biofeedback for smart healthcare system and its impact on healthcare of professional athletes, especially during rehabilitation monitoring. The application of machine learning techniques along with various wireless wearable sensors facilitated in building a knowledge base system for healthcare monitoring of the subjects and providing a visual/numeric biofeedback to the clinicians, patients and healthcare professionals. The validated system can potentially be used as a decision supporting tool by the clinicians, physiotherapists, physiatrists and sports trainers for quantitative rehabilitation analysis of the subjects in conjunction with the existing recovery monitoring systems. Based on the results achieved, a conceptual design and model for next generation smart healthcare system/devices for professional athletes has been proposed.

Author Biography

Owais Ahmed Malik, Motion Analysis Lab, Universiti Brunei Darussalam

Faculty of Science

References

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O. A. Malik, "An Intelligent Rehabilitation and Performance Monitoring System for Anterior Cruciate Ligament Reconstructed Subjects Using Multi-Modal Wireless Integrated Sensors", Ph.D. dissertation, Comp. Sc., Univ. Brunei Darussalam, Brunei Darussalam, 2015