Deep Learning for Classification of Sleep EEG Data during the Epidemic of Coronavirus Disease

§ Hubei University of Technology

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Deep Learning for Classification of Sleep EEG Data during the Epidemic of  Coronavirus Disease

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References

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  1. 1. Yun Qi (2018). Experimental Study on NDVI Inversion using GPS-R Remote Sensing Based on BP Neural Network. Experimental Study on NDVI Inversion using GPS-R Remote Sensing Based on BP Neural Network
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mingzhe E, Jinming Cao, Bin Zhao. 2020. "Deep Learning for Classification of Sleep EEG Data during the Epidemic of Coronavirus Disease". Global Journal of Medical Research - K: Interdisciplinary GJMR-K Volume 20 (GJMR Volume 20 Issue K13).

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords
Classification
GJMR-K Classification NLMC Code: WC 532
Version of record

v1.2

Issue date
November 27, 2020

Language
English
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Deep Learning for Classification of Sleep EEG Data during the Epidemic of Coronavirus Disease

Mingzhe E
Mingzhe E Hubei University of Technology
Jinming Cao
Jinming Cao
Bin Zhao
Bin Zhao