Automated Sleep Staging Classification System Based On Convolutional Neural Network Using Polysomnography Signals-Reference-Cited by-同舟云学术

Automated Sleep Staging Classification System Based On Convolutional Neural Network Using Polysomnography Signals

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Delhi Section Conference (DELCON)
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Author:

Satapathy Santosh Kumar¹,Pattnaik Shrinibas²,Rath Ramakrushna³

Affiliation:

1. Pandit Deendayal Energy University,Information and Communication Technology,Gujarat,India

2. Gandhi Institute of Science and Technology,Electronics and Communication Engineering,Rayagada,Odisha,India

3. Anna University,Computer Science and Engineering,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752769/9752688/09753132.pdf?arnumber=9753132

Reference86 articles.

1. A Convolutional Neural Network approach for Classification of Dementia Stages based on 2D-Spectral Representation of EEG recordings;ieracitano;Neurocomputing,2018

2. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state

3. Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments

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