지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.20 No.3
- 발행연도
- 2020.9
- 수록면
- 181 - 187 (7page)
- DOI
- 10.5391/IJFIS.2020.20.3.181
이용수
초록· 키워드
오류제보하기
A healthy sleep structure is clinically very important for overall health. The sleep structure can be represented by the percentage of different sleep stages during the total sleep time. In this study, we proposed a method for automatic classification of sleep stages from an electrocardiogram (ECG) signal using a gated-recurrent unit (GRU). The proposed method performed multiclass classification for three-class sleep stages such as awake, light, and deep sleep. A deep structured GRU was used in the proposed method, which is a common recurrent neural network. The proposed deep learning (SleepGRU) model consists of a 5-layer GRU and is optimized by batch-normalization, dropout, and Adam update rules. The ECG signal was recorded during nocturnal polysomnography from 112 subjects, and was normalized and segmented into units of 30-second duration. To train and evaluate the proposed method, the training set consisted of 80,316 segments from 89 subjects, and the test set used 20,079 segments from 23 subjects. We achieved good performances with an overall accuracy of 80.43% and F1-score of 80.07% for the test set. The proposed method can be an alternative and useful tool for sleep monitoring and sleep screening, which have previously been manually evaluated by a sleep technician or sleep expert.
목차
Abstract
1. Introduction
2. Material and Method
3. Experimental Results
4. Discussion
5. Conclusion
References
참고문헌 (21)
참고문헌 신청
A. Rechtschaffen / 1968 / A Manual for Standardized Terminology, Techniques and Scoring System for Sleep Stages in Human Subjects / US Department of Health, Education, and Welfare
Philippe Peigneux / 2001 / Sleeping brain, learning brain. The role of sleep for memory systems / Neuroreport 12(18):A111~A124
E. Stepanski / 1984 / Sleep fragmentation and daytime sleepiness / Sleep 7(1):18~26
P. Jennum / 2002 / Sleep and headache / Sleep Medicine Reviews 6(6):471~479
M. P. Hoevenaar-Blom / 2011 / Sleep duration and sleep quality in relation to 12-year cardiovascular disease incidence: the MORGEN study / Sleep 34(11):1487~1492
Philippe Peigneux / 2001 / Sleeping brain, learning brain. The role of sleep for memory systems / Neuroreport 12(18):A111~A124
E. Stepanski / 1984 / Sleep fragmentation and daytime sleepiness / Sleep 7(1):18~26
P. Jennum / 2002 / Sleep and headache / Sleep Medicine Reviews 6(6):471~479
M. P. Hoevenaar-Blom / 2011 / Sleep duration and sleep quality in relation to 12-year cardiovascular disease incidence: the MORGEN study / Sleep 34(11):1487~1492
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