An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks

An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks

Parkinson's disease (PD) is a widespread neurodegenerative condition that affects many individuals annually. Early identification and monitoring of disease progression are crucial to effectively managing symptoms and preventing motor complications. This research proposes an automated PD diagnos...

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Bibliographic Details
Main Authors: Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Seyyed Abed Hosseini
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Medicine in Novel Technology and Devices
Subjects:
Parkinson's disease grading
Cumulative gait signal
Vertical ground reaction force
fuzzy feature
Bayesian optimization
Long short-term memory
Online Access:http://www.sciencedirect.com/science/article/pii/S2590093524000134

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http://www.sciencedirect.com/science/article/pii/S2590093524000134

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