An Interpretable Deep Learning Optimized Wearable Daily Detection System for Parkinson’s Disease-Reference-Cited by-同舟云学术

An Interpretable Deep Learning Optimized Wearable Daily Detection System for Parkinson’s Disease

Published:2023 Issue: Volume:31 Page:3937-3946
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Chen Min¹^ORCID,Sun Zhanfang²,Xin Tao¹,Chen Yan³,Su Fei¹^ORCID

Affiliation:

1. Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China

2. Department of Neurology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

3. Neurology Department, Shanghai Jiahui International Hospital, Shanghai, China

Funder

Innovation Project of Clinical Science and Technology of Jinan City

Academic Promotion Program of Shandong First Medical University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10247059.pdf?arnumber=10247059

Reference54 articles.

1. Automated Systems Based on Wearable Sensors for the Management of Parkinson's Disease at Home: A Systematic Review

2. Wearable sensors in the diagnosis and study of Parkinson’s disease symptoms: A systematic review;albán-cadena;JME&T,2021

3. Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: a mixed-methods systematic review

4. A Systematic Survey of Research Trends in Technology Usage for Parkinson’s Disease

5. FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review

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