Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method

Santosh Kumar Satapathy; Shrinibas Pattnaik; Badal Acharya; Rama Krushna Rath

doi:10.1007/978-3-031-12641-3_20

ScienceGate Book Chapters

BOOK-CHAPTER

Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method

Santosh Kumar Satapathy Shrinibas Pattnaik Badal Acharya Rama Krushna Rath

Year: 2022 Communications in computer and information science Pages: 235-247 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-12641-3_20

Get Full-Text PDF Get Analytical Report

Keywords:

Electroencephalography Computer science SIGNAL (programming language) Sleep (system call) Artificial intelligence Channel (broadcasting) Machine learning Speech recognition Pattern recognition (psychology) Psychology Neuroscience Telecommunications

Metrics

Cited By

0.78

FWCI (Field Weighted Citation Impact)

Refs

0.69

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Non-Invasive Vital Sign Monitoring

Physical Sciences → Engineering → Biomedical Engineering

Sleep and Work-Related Fatigue

Social Sciences → Psychology → Experimental and Cognitive Psychology

Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method

Metrics

Citation History

Topics

Related Documents

Automated Classification of Sleep Stages Based on Electroencephalogram Signal Using Machine Learning Techniques

An Automated Sleep Stages Classification Using BrainEEG Signal: A Machine Learning Approaches

Automated Sleep Staging Using Single-Channel EEG Signal Based on Machine Learning Approaches

Automated Classification of Sleep Stages Using Single-Channel EEG

3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning