Prediction of Freezing of Gait in Parkinson's Disease Using Time-Series Data from Wearable Sensors-Reference-Cited by-同舟云学术

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Prediction of Freezing of Gait in Parkinson's Disease Using Time-Series Data from Wearable Sensors

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
language:
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Author:

Ouyang Suyuan¹,Chen Zhonglue²,Chen Shengdi³,Zhao Jin¹

Affiliation:

1. Huazhong University of Science & Technology, School of Artificial Intelligence & Automation,Wuhan,430074

2. GYENNO SCIENCE CO., LTD.,Shenzhen,518000

3. Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine,Department of Neurology,Shanghai,200025

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10241134.pdf?arnumber=10241134

Reference27 articles.

1. Data-Driven Prediction of Freezing of Gait Events From Stepping Data

2. Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks

3. Predicting State Transition in Freezing of Gait via Acceleration Measurements for Controlled Cueing in Parkinson’s Disease

4. Utilizing Neural Networks to Predict Freezing of Gait in Parkinson's Patients

5. Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields

Cited by 2 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. An ensemble modeling framework to elucidate the regulatory factors of chlorophyll-a concentrations in the Nanji wetland waters of Poyang Lake;Ecological Informatics;2024-09

2. Insights into Parkinson’s Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis;Sensors;2024-06-18

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