Parkinson’s disease detection and classification using EEG based on deep CNN-LSTM model
Author:
Affiliation:
1. School of Cyberspace Science, Dongguan University of Technology, Dongguan, China
Funder
Characteristic Innovation Projects of Guangdong Colleges and Universities
The Dongguan Science and Technology of Social Development Program
Publisher
Informa UK Limited
Subject
Molecular Biology,Bioengineering,Biotechnology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02648725.2023.2200333
Reference45 articles.
1. Linear predictive coding distinguishes spectral EEG features of Parkinson's disease
2. Parkinson disease
3. Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
4. Early Alzheimer’s disease diagnosis based on EEG spectral images using deep learning
5. Impairment of brain functions in Parkinson’s disease reflected by alterations in neural connectivity in EEG studies: A viewpoint
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