Literature DB >> 31502995

From Emotions to Mood Disorders: A Survey on Gait Analysis Methodology.

Fani Deligianni, Yao Guo, Guang-Zhong Yang.   

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.

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Year:  2019        PMID: 31502995     DOI: 10.1109/JBHI.2019.2938111

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  3 in total

1.  Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis.

Authors:  Yuezhou Zhang; Amos A Folarin; Shaoxiong Sun; Nicholas Cummins; Srinivasan Vairavan; Linglong Qian; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Petroula Laiou; Heet Sankesara; Faith Matcham; Katie M White; Carolin Oetzmann; Alina Ivan; Femke Lamers; Sara Siddi; Sara Simblett; Aki Rintala; David C Mohr; Inez Myin-Germeys; Til Wykes; Josep Maria Haro; Brenda W J H Penninx; Vaibhav A Narayan; Peter Annas; Matthew Hotopf; Richard J B Dobson
Journal:  JMIR Mhealth Uhealth       Date:  2022-10-04       Impact factor: 4.947

2.  The Avatar's Gist: How to Transfer Affective Components From Dynamic Walking to Static Body Postures.

Authors:  Paolo Presti; Davide Ruzzon; Gaia Maria Galasso; Pietro Avanzini; Fausto Caruana; Giovanni Vecchiato
Journal:  Front Neurosci       Date:  2022-06-15       Impact factor: 5.152

Review 3.  Detection and assessment of Parkinson's disease based on gait analysis: A survey.

Authors:  Yao Guo; Jianxin Yang; Yuxuan Liu; Xun Chen; Guang-Zhong Yang
Journal:  Front Aging Neurosci       Date:  2022-08-03       Impact factor: 5.702

  3 in total

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