From emotions to mood disorders: a survey on gait analysis methodology

Deligianni, F. , Guo, Y. and Yang, G.-Z. (2019) From emotions to mood disorders: a survey on gait analysis methodology. IEEE Journal of Biomedical and Health Informatics, 23(6), pp. 2302-2316. (doi: 10.1109/JBHI.2019.2938111) (PMID:31502995)

Abstract

Mood disorders affect more than 300 million people worldwide and can cause devastating consequences. Elderly people and patients with neurological conditions are particularly susceptible to depression. Gait and body movements can be affected by mood disorders, and thus they can be used as a surrogate sign, as well as an objective index for pervasive monitoring of emotion and mood disorders in daily life. Here we review evidence that demonstrates the relationship between gait, emotions and mood disorders, highlighting the potential of a multimodal approach that couples gait data with physiological signals and home-based monitoring for early detection and management of mood disorders. This could enhance self-awareness, enable the development of objective biomarkers that identify high risk subjects and promote subject-specific treatment.

• Item Type: Articles
• Additional Information: This work was supported by EPSRC under Grant EP/R026092/1.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Deligianni, Dr Fani
• Authors: Deligianni, F., Guo, Y., and Yang, G.-Z.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: IEEE Journal of Biomedical and Health Informatics
• Publisher: IEEE
• ISSN: 2168-2194
• ISSN (Online): 2168-2208
• Published Online: 09 September 2019
• Copyright Holders: Copyright © 2019 The Authors
• First Published: First published in IEEE Journal of Biomedical and Health Informatics 23(6): 2302-2316
• Publisher Policy: Reproduced under a Creative Commons License