An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease-Reference-Cited by-同舟云学术

An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease

Published:2023-03 Issue:3 Volume:27 Page:1307-1318
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Chu Chunguang¹,Zhang Zhen¹^ORCID,Song Zhenxi²^ORCID,Xu Zifan¹,Wang Jiang¹^ORCID,Wang Fei³,Liu Wei³,Lu Liying⁴,Liu Chen¹^ORCID,Zhu Xiaodong³^ORCID,Fietkiewicz Chris⁵^ORCID,Loparo Kenneth A.⁶^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

3. Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China

4. Department of Neurology, Tianjin Beichen Hospital, Tianjin, China

5. Department of Mathematics and Computer Science, Hobart and William Smith Colleges, Geneva, NY, USA

6. Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA

Funder

Science & Technology Development Fund of Tianjin Education Commission for Higher Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10063192/10002848.pdf?arnumber=10002848

Reference42 articles.

1. Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

2. The montreal cognitive assessment as a screening tool for cognitive impairment in Parkinson's disease

3. Dermatologist-level classification of skin cancer with deep neural networks

5. Detection of Parkinson’s Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network

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