Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Correlation Analysis of Electrocardiogram Signal according to Sleep Stage

수면 단계에 따른 심전도 신호의 상관관계 분석

  • Lee, JeeEun (Graduate Program of Biomedical Engineering, Yonsei University) ;
  • Yoo, Sun Kook (Dept. of Medical Engineering, Yonsei University College of Medicine)
  • Received : 2018.08.08
  • Accepted : 2018.11.11
  • Published : 2018.12.31
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Abstract

There is a problem to measure neutral bio-signals during sleep because of inconvenience of attaching lots of sensors. In this study, we measured single electrocardiogram(ECG) signal and analyzed the correlation with sleep. After R-peak detection from ECG signal, we extracted 9 features from time and frequency domain of heart rate variability(HRV). Mean of HRV, RR intervals differing more than 50ms(NN50), and divided by the total number of all RR intervals(pNN50) have significant differences in each sleep stage. Specially, the mean HRV has an average of 87.8% accuracy in classifying sleep and awake status. In the future, the measurement ECG signal minimizes inconvenience of attaching sensors during sleep. Also, it can be substituted for the standard sleep measurement method.

Keywords

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Fig. 1. Experiments overview.

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Fig. 2. Flowchart for R-peak detection algorithm.

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Fig. 3. (a) Labeling, (b) Mean, (c) SDNN, (d) RMSSD, (e) NN50, (f) pNN50, (g) LF/HF, (h) TF, (i) HFn, (j) LFn (x: epoch, y: normalized unit)

Table 1. Features of heart rate variability

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Table 2. The number of each sleep stage

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Table 3. Mean and standard deviation of each feature of heart rate variability

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Table 4. Correlation between each feature and sleep stages

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Table 5. Regression coefficient of each feature of heart rate variability

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