TremorSense: Tremor Detection for Parkinson's Disease Using Convolutional Neural Network-Reference-Cited by-同舟云学术

TremorSense: Tremor Detection for Parkinson's Disease Using Convolutional Neural Network

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
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Author:

Sun Minglong¹,Watson Amanda²,Blackwell Gina³,Jung Woosub¹,Wang Shuangquan⁴,Koltermann Kenneth¹,Helm Noah³,Zhou Gang¹,Cloud Leslie⁵,Pretzer-Aboff Ingrid³

Affiliation:

1. William & Mary,Computer Science Department,Williamsburg,United States

2. The PRECISE Center, University of Pennsylvania,Philadelphia,United States

3. School of Nursing, Virginia Commonwealth University,Richmond,United States

4. Salisbury University,Computer Science Department,Maryland,United States

5. Virginia Commonwealth University,Department of Neurology,Richmond,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9697906/9697913/09697920.pdf?arnumber=9697920

Reference42 articles.

1. Opening velocity, a novel parameter, for finger tapping test in patients with Parkinson's disease

2. Finger taps movement acceleration measurement system for quantitative diagnosis of Parkinson's disease

3. Long-term EMG recordings differentiate between parkinsonian and essential tremor

4. A novel quantitative method for 3D measurement of Parkinsonian tremor

5. Validation for tremor quantification of an electromagnetic tracking device

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5. Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023