An abnormal gait monitoring system for patients with Parkinson's disease based on wearable devices-Reference-Cited by-同舟云学术

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An abnormal gait monitoring system for patients with Parkinson's disease based on wearable devices

Published:2022-11-05 Issue: Volume: Page:
ISSN:
Container-title:2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
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Author:

Li Yan¹,Bai Qingyuan¹,Yang Xianjun²,Zhou Xu²,Sun Yining²,Yao Zhiming²

Affiliation:

1. Hefei Institutes of Physical Science, Chinese Academy of Sciences, University of Science and Technology of China,Hefei,China

2. Hefei Institutes of Physical Science, Chinese Academy of Sciences,Hefei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979807/9979817/09980005.pdf?arnumber=9980005

Reference15 articles.

1. Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease

2. Variance of the Gait Parameters and Fraction of Double-Support Interval for Determining the Severity of Parkinson’s Disease

3. Comparative Motor Pre-clinical Assessment in Parkinson’s Disease Using Supervised Machine Learning Approaches

4. Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit

5. Patient-dependent Freezing of Gait Detection using Signals from Multi-accelerometer Sensors in Parkinson’s Disease

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