Existing Methodologies, Evaluation Metrics, Research Gaps, and Future Research Trends: A Sleep Stage Classification Framework
Author:
Affiliation:
1. SRMIST,ECE Department,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10142228/10142218/10142691.pdf?arnumber=10142691
Reference26 articles.
1. SleepFCN: A Fully Convolutional Deep Learning Framework for Sleep Stage Classification Using Single-Channel Electroencephalograms
2. A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model
3. Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG
4. Transfer Learning Method For Sleep Stages Classification Using Different Domain;moradi;Asian Journal of Advances in Medical Science,2020
5. Automatic Sleep Stage Classification Using 1D Convolutional Neural Network
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