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

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


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


T. E. Hewett, S. L. Di Stasi, and G. D. Myer, "Current concepts for injury prevention in athletes after anterior cruciate ligament reconstruction," Am. J. Sports Med., vol. 41, pp. 216-24, 2012.

O. A. Malik, S. M. N. A. Senanayake and D. Zaheer, "An Intelligent Recovery Progress Evaluation System for ACL Reconstructed Subjects Using Integrated 3-D Kinematics and EMG Features," IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 2, pp. 453-463, March 2015.

O. A. Malik, S. M. N. Arosha Senanayake and D. Zaheer, "A Multisensor Integration-Based Complementary Tool for Monitoring Recovery Progress of Anterior Cruciate Ligament-Reconstructed Subjects," IEEE/ASME Transactions on Mechatronics, vol. 20, no. 5, pp. 2328-2339, Oct. 2015.

S.M.N. Arosha Senanayake, O. A. Malik, M. Pg. Iskandar, D. Zaheer, "A knowledge-based intelligent framework for anterior cruciate ligament rehabilitation monitoring", Applied Soft Computing, vol. 20, pp. 127-141, July 2014.

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