Electromyography signal processing techniques applied in gait analysis for frailty detection
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...
Saved in:
Main Author: | Li, Gaofeng |
---|---|
Other Authors: | Wang Ping |
Format: | Final Year Project |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/66806 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Contamination in Electromyography Signals and Noise Removal Techniques
by: Thandar Oo
Published: (2024) -
Human gait recognition by micro-doppler analysis of the signal
by: Huang, Shan
Published: (2016) -
The Development of Surface Electromyography Signal Acquisition and Processing Method for Muscle Fatigue Evaluation
by: Widodo Saputra - Nim: 13114107 , Aldo -
Armband Gesture Recognition on Electromyography Signal for Virtual Control
by: Tanasanee Phienthrakul
Published: (2019) -
Surface electromyography signal for control of myoelectric prosthesis of the upper-limb using independent component analysis
by: Lazaro, Jose B., Jr., et al.
Published: (2014)