Flexible Forearm Triboelectric Sensors for Parkinson's Disease Diagnosing and Monitoring-Reference-Cited by-同舟云学术

Flexible Forearm Triboelectric Sensors for Parkinson's Disease Diagnosing and Monitoring

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

A David F. Vera¹,He Tianyiyi²,Redoute Jean-Michel¹,Lee Chengkuo²,Yuce Mehmet R.¹

Affiliation:

1. Monash University,Department of Electrical and Computer Systems Engineering,Melbourne,Victoria,Australia,3800

2. National University of Singapore,Department of Electrical and Computer Engineering and Center for Intelligent Sensors and MEMS (CISM),Singapore,Singapore,117583

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871644.pdf?arnumber=9871644

Reference23 articles.

1. Contrast and Homogeneity Feature Analysis for Classifying Tremor Levels in Parkinson’s Disease Patients

2. Analysis and Discrimination of Surface Electromyographic Features for Parkinson’s Disease during Elbow Flexion Movements

3. Neuromuscular correlates of subthalamic stimulation and upper limb freezing in Parkinson’s disease

4. Finger Motion Classification by Forearm Skin Surface Vibration Signals

5. All-in-one self-powered flexible microsystems based on triboelectric nanogenerators

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