Modeling, Detecting, and Tracking Freezing of Gait in Parkinson Disease Using Inertial Sensors-Reference-Cited by-同舟云学术

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Modeling, Detecting, and Tracking Freezing of Gait in Parkinson Disease Using Inertial Sensors

Published:2018-10 Issue:10 Volume:65 Page:2152-2161
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Prateek G. V.^ORCID,Skog Isaac^ORCID,McNeely Marie E.,Duncan Ryan P.^ORCID,Earhart Gammon M.,Nehorai Arye^ORCID

Funder

Program in Physical Therapy

NIH

Greater St. Louis American Parkinson Disease Association (APDA)

APDA Advanced Center for PD Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/8467387/08231183.pdf?arnumber=8231183

Cited by 34 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. Detection of freezing of gait in Parkinson's disease from foot-pressure sensing insoles using a temporal convolutional neural network;Frontiers in Aging Neuroscience;2024-07-18

2. A novel deep dual self-attention and Bi-LSTM fusion framework for Parkinson’s disease prediction using freezing of gait: a biometric application;Multimedia Tools and Applications;2024-03-21

3. WiFOG: Integrating deep learning and hybrid feature selection for accurate freezing of gait detection;Alexandria Engineering Journal;2024-01

4. Recognition of Parkinson’s Disease Using Different Machine Learning Models;2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS);2023-10-27

5. Detection and prediction of freezing of gait with wearable sensors in Parkinson’s disease;Neurological Sciences;2023-10-16

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