Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/66806
Title: Electromyography signal processing techniques applied in gait analysis for frailty detection
Authors: Li, Gaofeng
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: Currently, frailty is identified as a prevalent group that distinguished from comorbidity or disability, which has large potential to lead serious clinical outcomes including falls, functional declines, and institutionalization [1]. Frailty detection using gait analysis in community-dwelling elderly has achieved considerable results in biomechanical research. Among all the gait characteristics, gait velocity is the most prominent factor that contribute to reveal the frailty status of the subject [1]. While other potential meaningful clinical gait parameters beyond velocity have received little attention in frailty research. Electromyography (EMG) approach in kinesiological study is one of the popular solution adopted in gait analysis. It provides objective evaluation of neuromuscular activation of muscles within various activities, such as work conditions, functional movements, treatment and training regimes, etc. As an evaluation tool for biomechanical study, kinesiological EMG may be existed as a potential solution for systematic gait analysis associated with frailty detection.
URI: http://hdl.handle.net/10356/66806
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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