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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
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- 대한의용생체공학회 Biomedical Engineering Letters (BMEL) Biomedical Engineering Letters (BMEL) Vol.8 No.1
- 발행연도
- 2018.1
- 수록면
- 87 - 93 (7page)
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The polysomnogram (PSG) analysis is consideredthe golden standard for sleep staging under the clinicalenvironment. The electroencephalogram (EEG) signal isthe most important signal for classification of sleep stages. However, in-vivo signal recording and analysis of EEGsignal presents us with a few technical challenges. Electrocardiogramsignals on the other hand, are easier torecord, and can provide an attractive alternative for homesleep monitoring. In this paper we describe a method basedon deep neural network (DNN), which can be used for theclassification of the sleep stages into Wake (W), rapid-eyemovement(REM) and non-rapid-eye-movement (NREM)sleep stage. We apply the sleep stage stacked autoencoderto constitute a 4-layer DNN model. In order to test theaccuracy of our method, eighteen PSGs from the MIT-BIHPolysomnographic Database were used. A total of 11 featureswere extracted from each electrocardiogram recordingThe experimental design employs cross-validationacross subjects, ensuring the independence of the trainingand the test data. We obtained an accuracy of 77% and aCohen’s kappa coefficient of about 0.56 for the classificationof Wake, REM and NREM.
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참고문헌 (21)
참고문헌 신청
Carley DW / 2016 / Physiology of sleep / Diabetes Spectr 29(1):5~9
Wolpert EA / 1969 / A manual of standardized terminology. Techniques and scoring system for sleep stages of human subjects / Arch Gen Psychiatry 20(2):246~247
Nascimento AP / 2014 / Sleep quality and stress tolerance in patients with obstructive sleep apnea / Rev Bras Med Esp 20(2):115~118
Redmond SJ / 2006 / Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea / IEEE Trans Biomed Eng 53(3):485~496
Mendez MO / 2010 / Sleep staging from heart rate variability: time-varying spectral features and hidden Markov models / Biomed Eng Technol 3(3-4):246~263
Wolpert EA / 1969 / A manual of standardized terminology. Techniques and scoring system for sleep stages of human subjects / Arch Gen Psychiatry 20(2):246~247
Nascimento AP / 2014 / Sleep quality and stress tolerance in patients with obstructive sleep apnea / Rev Bras Med Esp 20(2):115~118
Redmond SJ / 2006 / Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea / IEEE Trans Biomed Eng 53(3):485~496
Mendez MO / 2010 / Sleep staging from heart rate variability: time-varying spectral features and hidden Markov models / Biomed Eng Technol 3(3-4):246~263
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