SoftVotingSleepNet: Majority Vote of Deep Learning Models for Sleep Stage Classification from Raw Single EEG Channel-Reference-Cited by-同舟云学术

SoftVotingSleepNet: Majority Vote of Deep Learning Models for Sleep Stage Classification from Raw Single EEG Channel

Published:2022-06-06 Issue: Volume: Page:
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Container-title:2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
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Author:

Neshov Nikolay¹,Tonchev Krasimir¹,Velchev Yuliyan¹,Manolova Agata¹,Poulkov Vladimir¹

Affiliation:

1. Technical University of Sofia,Faculty of Telecommunications,Sofia,Bulgaria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9858123/9858124/09858199.pdf?arnumber=9858199

Reference18 articles.

1. DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates

2. DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

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4. Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG

5. Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals;goldberger;Circulation,2000

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