scholarly journals Automatic detection of sleep apnea events based on inter‐band energy ratio obtained from multi‐band EEG signal

2019 ◽  
Vol 6 (3) ◽  
pp. 82-86 ◽  
Author(s):  
Suvasish Saha ◽  
Arnab Bhattacharjee ◽  
Shaikh Anowarul Fattah
Keyword(s):  
Sleep Apnea ◽  
Automatic Detection ◽  
Energy Ratio ◽  
Eeg Signal ◽  
Band Energy ◽  
Multi Band

Automatic detection and quantification of sleep apnea using heart rate variability

2010 ◽  
Vol 43 (6) ◽  
pp. 535-541 ◽  
Author(s):  
Saeed Babaeizadeh ◽  
David P. White ◽  
Stephen D. Pittman ◽  
Sophia H. Zhou
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Apnea ◽  
Automatic Detection ◽  
Detection And Quantification

FRACTAL ANALYSIS AS A TOOL FOR AUTOMATIC DETECTION OF ARTIFACTS IN ELECTROENCEPHALOGRAM RECORDS

2021 ◽  
pp. 72-76
Author(s):  
Л.Д. Егорова ◽  
Л.А. Казаковцев
Keyword(s):  
Data Processing ◽  
Fractal Analysis ◽  
Hurst Exponent ◽  
Automatic Detection ◽  
Eeg Signal ◽  
Informative Feature ◽  
Processing Algorithms ◽  
Automatic Filtering ◽  
Intelligent Data Processing ◽  
Data Processing Algorithms

В статье обсуждается применение методов фрактального анализа для решения задачи автоматической фильтрации сигнала ЭЭГ от артефактов различной природы. Изучается возможность использования показателя Херста в качестве информативного признака для алгоритмов интеллектуальной обработки данных. The article discusses the possibility of using fractal analysis to solve the problem of automatic filtering of the EEG signal from artifacts of various nature. The possibility of using the Hurst exponent as an informative feature for intelligent data processing algorithms is investigated

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