Activity Selection to Distinguish Healthy People from Parkinson’s Disease Patients Using I-DA-Reference-Cited by-同舟云学术

Activity Selection to Distinguish Healthy People from Parkinson’s Disease Patients Using I-DA

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Conference on Mobility, Sensing and Networking (MSN)
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Author:

Tao Liu¹,Wang Xiang¹,Peng Xiyang¹,Yang Po²,Qi Jun³,Yang Yun¹

Affiliation:

1. Yunnan University,National Pilot School of Software,Kunming,China

2. University of Sheffield,Faculty of Engineering,Department of Computer Science,Sheffield,UK

3. Xi’an JiaoTong-Liverpool University,Department of Computing,Suzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751460/9751461/09751465.pdf?arnumber=9751465

Reference18 articles.

1. Dyskinesia Severity Estimation in Patients with Parkinson’s Disease Using Wearable Sensors and A Deep LSTM Network;hssayeni;2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),2020

2. Evaluation of Parkinson’s Disease at Home: Predicting Tremor from Wearable Sensors

3. Assessment of Tremor Activity in the Parkinson’s Disease Using a Set of Wearable Sensors

4. A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson’s Disease

5. Impact of Exercise Intervention in Parkinson’s Disease can be Quantified Using Inertial Sensor Data and Clinical Tests

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1. Multi-Scale Feature and Multi-Channel Selection toward Parkinson’s Disease Diagnosis with EEG;Sensors;2024-07-17

2. Modeling Parkinson’s Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

3. Effective Severity Assessment of Parkinson’s Disease using Wearable Sensors in Free-living IoT Environment;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

4. Parkinson hastalarının aktivitelerinin tanınmasında TinyML tabanlı uç bilişim sistemi;Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi;2022-11-08