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

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.

The Use of Neurofeedback in Sports Training: Systematic Review

“…In the publications by Malik and Senanayake, the crucial role of this method in monitoring the health status of athletes in the rehabilitation process is highlighted. Rapid feedback allows physicians and physiotherapists to make quick decisions regarding the rehabilitation of athletes, thus, allowing for a faster return to full functionality [ 40 ]. This method can be used in the rehabilitation of individuals with treatment-resistant sports-related injuries [ 41 ].…”