Appropriate Mother Wavelets for Continuous Gait Event Detection Based on Time-Frequency Analysis for Hemiplegic and Healthy Individuals
Gait event detection is a crucial step towards the effective assessment and rehabilitation of motor dysfunctions. Recently, the continuous wavelet transform (CWT) based methods have been increasingly proposed for gait event detection due to their robustness. However, few investigations on determinin...
Main Authors: | Ning Ji, Hui Zhou, Kaifeng Guo, Oluwarotimi Williams Samuel, Zhen Huang, Lisheng Xu, Guanglin Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/16/3462 |
Similar Items
-
Principal Characteristics of Affected and Unaffected Side Trunk Movement and Gait Event Parameters during Hemiplegic Stroke Gait with IMU Sensor
by: Jeong-Woo Seo, et al.
Published: (2020-12-01) -
Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm
by: Hui Zhou, et al.
Published: (2016-10-01) -
Hybrid and adaptive control of functional electrical stimulation to correct hemiplegic gait for patients after stroke
by: Yiqun Dong, et al.
Published: (2023-08-01) -
The paediatric version of Wisconsin gait scale, adaptation for children with hemiplegic cerebral palsy: a prospective observational study
by: Agnieszka Guzik, et al.
Published: (2018-09-01) -
Distinct Ground Reaction Forces in Gait between the Paretic and Non-Paretic Leg of Stroke Patients: A Paradigm for Innovative Physiotherapy Intervention
by: Zoe Mass Kokolevich, et al.
Published: (2021-11-01)