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...
Main Authors: | Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Seyyed Abed Hosseini |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-06-01
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Series: | Medicine in Novel Technology and Devices |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590093524000134 |
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