Fall-Risk Assessment by Combined Movement Related Potentials and Co-Contraction Index Monitoring

Annese, V.F. and De Venuto, D. (2015) Fall-Risk Assessment by Combined Movement Related Potentials and Co-Contraction Index Monitoring. In: 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), Atlanta, GA, USA, 22-24 Oct 2015, ISBN 9781479972340 (doi: 10.1109/BioCAS.2015.7348366)

Abstract

In this paper we propose a novel approach for online fall-risk assessment based on concurrent EEG and EMG monitoring. The fall-risk evaluation is based on: i) clinical condition of the individual, ii) environment, iii) EMG agonist-antagonist co-contraction analysis and iv) Movement Related Potentials and event related desynchronizations occurrence/absence. The fall-risk assessment evaluation algorithm has been implemented on a FPGA (Altera Cyclone V SE 5CSEMA5F31C6N) in order to realize an autonomous and stand-alone fall prevention tool. The experimental results (based on a dataset of 10 individuals) are described and demonstrate the validity of the algorithm and its FPGA implementation, which responds in 41ms, well within the 300ms time limit according to a study on 45 fallers and 80 non-fallers (with 74 years average age).

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Annese, Dr Valerio
• Authors: Annese, V.F., and De Venuto, D.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9781479972340
• Published Online: 07 December 2015