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-Reference-Cited by-同舟云学术

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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

Published:2024-06 Issue: Volume:22 Page:100297
ISSN:2590-0935
Container-title:Medicine in Novel Technology and Devices
language:en
Short-container-title:Medicine in Novel Technology and Devices

Author:

Abedinzadeh Torghabeh Farhad,Modaresnia Yeganeh,Hosseini Seyyed Abed^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Pathology of neurodegenerative diseases;Dugger;Cold Spring Harb Perspect Biol,2017

2. Parkinson's disease: clinical features and diagnosis;Jankovic;J Neurol Neurosurg Psychiatry,2008

3. Wearable-sensor-based detection and prediction of freezing of gait in Parkinson's disease: a review;Pardoel;Sensors,2019

4. Incidence of Parkinson disease in north America;Willis;NPJ Parkinsons Dis,2022

5. Clinical features of Parkinson's disease: the evolution of critical symptoms;Váradi;Biology,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases;Gait & Posture;2024-09

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