Paper Info
Title
Automated Screening of Parkinson's Disease Using Deep Learning Based Electroencephalography
Abstract
Parkinson's Disease (PD) is the second most common neurodegenerative disease after Alzheimer disease in the United States. It is characterized by motor symptoms such as slowness of movement, and tremor, and non-motor symptoms such as cognitive changes, anxiety, depression, and sleep problems. Diagnosis, and evaluation of the disease are based on clinical examination, making the diagnosis challengi...
Year
DOI
Venue
2021
10.1109/NER49283.2021.9441065
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
Keywords
DocType
ISSN
Deep learning,Sensitivity,Sleep,Parkinson's disease,Handheld computers,Artificial neural networks,Tools
Conference
1948-3546
ISBN
Citations 
PageRank 
978-1-7281-4337-8
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Mohamed Shaban100.34