How to Cite: Ragunthar, T., Sahayaraj, K. K. A., Mary, A. L., Hussain, G. K. J., Lakshmi, T. R. K., & Thiagarajan, R. (2022). Clinical investigation of sensing ailments in brain movement through physiological activity using ML technique. International Journal of Health Sciences, 6(S6), 7082–7092. https://doi.org/10.53730/ijhs.v6nS6.11761 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 9 April 2022, Manuscript revised: 18 June 2022, Accepted for publication: 27 July 2022 7082 Clinical investigation of sensing ailments in brain movement through physiological activity using ML technique Dr. Ragunthar T. Assistant Professor, Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathuru Email: raguntht@srmist.edu.in Dr. K. Kishore Anthuvan Sahayaraj Assistant Professor, Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathuru Email: kishorea1@srmist.edu.in S. Angel Latha Mary Professor and Head Department of Computer Science and Business Systems, Sri Eshwar College of Engineering Coimbatore Email: xavierangellatha@gmail.com G. K. Jakir Hussain Assistant Professor (Selection Grade), Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore Email: gkjakirhussain@gmail.com Dr. T. R. Kalai Lakshmi Associate Professor, School of Management Studies, Sathyabama Institute of Science and Technology, Chennai Email: kalailakshmip@gmail.com Dr. R. Thiagarajan Associate Professor/IT, Prathyusha Engineering College, Chennai Email: thiyagarajantpt@gmail.com Abstract---The main goal was to demonstrate that EEG and its derivatives may be utilised to recreate brain function using EEG data. This is vital to determine the application's source activities in order to assess various strategies that address the reverse issue, hence