|
KMID : 1137820140350060211
|
|
의공학회지
2014 Volume.35 No. 6 p.211 ~ p.218
|
|
|
Automatic Detection of Slow-Wave Sleep Based on Electrocardiogram
|
|
Yoon Hee-Nam
Hwang Su-Hwan
Jung Da-Woon
Lee Yu-Jin
Jeong Do-Un
Park Kwang-Suk
|
|
|
Abstract
|
|
|
|
The objective of this research is to develop an automatic algorithm based on electrocardiogram (ECG) to estimate slow-wave sleep (SWS). An algorithm is based on 7 indices extracted from heart rate on ECG which simultaneously recorded with standard full night polysomnography from 31 subjects. Those 7 indices were then applied to independent component analysis to extract a feature that discriminates SWS and other sleep stages. Overall Cohen’s kappa, accuracy, sensitivity and specificity of the algorithm to detect 30s epochs of SWS were 0.52, 0.87, 0.70 and 0.90, respectively. The automatic SWS detection algorithm could be useful combining with existing REM and wake estimation technique on unattended home-based sleep monitoring.
|
|
|
KEYWORD
|
|
|
Slow-wave sleep, Electrocardiogram, Heart rate
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
 
|