An Android-based application for digital gait performance analysis and rehabilitation

authored by

Javier Conte Alcaraz, Sanam Moghaddamnia, Jurgen Peissig

Abstract

This paper presents an Android application supporting digital analysis of human gait patterns in a far more flexible way. The application uses the Bluetooth connection and a Shimmer 2R sensor to receive the raw accelerometer signals from typical and atypical gait, followed by a real-time data processing and monitoring to assess the gait quality. On the whole, 7 features per acceleration direction are made available for users. The range of features can be easily redefined and adjusted for the application in diverse type of gait/limb impairments. The user can choose a variety of features, allowing to determine gait abnormalities, quantify gait and walking performance and display them on the screen. The outcomes can be saved on the device or transmitted to treating physicians for a later control of the subject's improvements and the efficiency of physiotherapy treatments in motor rehabilitation. The proposed software solution bears a great potential to be commercialized and deployed to support digital healthcare and therapy.

Organisation(s)

Institute of Communications Technology

Type

Conference contribution

Pages

640-643

No. of pages

4

Publication date

2015

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Health Policy, Health Information Management, Computer Networks and Communications, Computer Science Applications, Health Informatics, Surgery, Health(social science)

Sustainable Development Goals

SDG 3 - Good Health and Well-being

Electronic version(s)

https://doi.org/10.1109/HealthCom.2015.7454582 (Access: Closed)