Development of Neuro-Degenerative Diseases’ Gait Classification Algorithm Using Convolutional Neural Network and Wavelet Coherence Spectrogram of Gait Synchronization

Development of Neuro-Degenerative Diseases’ Gait Classification Algorithm Using Convolutional Neural Network and Wavelet Coherence Spectrogram of Gait Synchronization

Objective: A neurodegenerative disease (NDD) detection algorithm using a convolutional neural network (CNN) and wavelet coherence spectrogram of gait synchronization was developed to classify NDD based on gait force signals. The main purpose of this research was to help physicians with screening for...

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Bibliographic Details
Main Authors: Febryan Setiawan, An-Bang Liu, Che-Wei Lin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Gait analysis
neuro-degenerative diseases
time-frequency spectrogram
wavelet coherence
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9754696/

Internet

https://ieeexplore.ieee.org/document/9754696/

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