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

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Title: From emotions to mood disorders: A survey on gait analysis methodology
Authors: Deligianni, F
Guo, Y
Yang, G-Z
Item Type: Journal Article
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 selfawareness, enable the development of objective biomarkers that identify high risk subjects and promote subject-specific treatment.
Issue Date: 9-Sep-2019
Date of Acceptance: 22-Aug-2019
URI: http://hdl.handle.net/10044/1/72995
DOI: 10.1109/JBHI.2019.2938111
ISSN: 2168-2194
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 2302
End Page: 2316
Journal / Book Title: IEEE Journal of Biomedical and Health Informatics
Volume: 23
Issue: 6
Copyright Statement: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Keywords: Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Medical Informatics
Computer Science
Mood
Senior citizens
Monitoring
Legged locomotion
Basal ganglia
Dementia
Mood disorders
Gait Analysis
Body movements
Emotions
DEPRESSIVE SYMPTOMS
PHYSICAL PERFORMANCE
PARKINSONS-DISEASE
EXECUTIVE FUNCTION
PRESSURE INSOLES
STATE AFFECTS
OLDER-ADULTS
INITIATION
HEALTH
RECOGNITION
Publication Status: Published
Online Publication Date: 2019-09-09
Appears in Collections:Faculty of Engineering
Computing



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