Classification of Neurodegenerative Diseases via Topological Motion Analysis—A Comparison Study for Multiple Gait Fluctuations
Neurodegenerative diseases are common progressive nervous system disorders that show intricate clinical patterns. The gait fluctuations reflect the physiology and pathologic alterations in the locomotor control system. Using gait fluctuations for disease state evaluation is an essential way for clin...
Main Authors: | Yan Yan, Olatunji Mumini Omisore, Yu-Cheng Xue, Hui-Hui Li, Qiu-Hua Liu, Ze-Dong Nie, Jianping Fan, Lei Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9098883/ |
Similar Items
-
Gait Rhythm Dynamics for Neuro-Degenerative Disease Classification via Persistence Landscape- Based Topological Representation
by: Yan Yan, et al.
Published: (2020-04-01) -
Multiscale Approximate Entropy for Gait Analysis in Patients with Neurodegenerative Diseases
by: An-Bang Liu, et al.
Published: (2019-09-01) -
Development of a Neurodegenerative Disease Gait Classification Algorithm Using Multiscale Sample Entropy and Machine Learning Classifiers
by: Quoc Duy Nam Nguyen, et al.
Published: (2020-11-01) -
Using a Video Device and a Deep Learning-Based Pose Estimator to Assess Gait Impairment in Neurodegenerative Related Disorders: A Pilot Study
by: Andrea Zanela, et al.
Published: (2022-05-01) -
Assessment of human gait after total knee arthroplasty by dynamic time warping algorithm
by: Reza Abbasi‐Kesbi, et al.
Published: (2023-08-01)