피부전기활동을 이용한 실시간 깊은 수면 검출 알고리즘의 개발 = Real-time Detection of Deep Sleep using Electrodermal Activity

다국어 초록 (Multilingual Abstract)

Although many studies have analyzed the relationship between electrodermal activity (EDA) and sleep stages, a practical method for detecting sleep stage using EDA has not been suggested. The aim of this study was to develop an algorithm for real-time automatic detection of deep sleep using the EDA signal. Simultaneously with overnight polysomnography (PSG), continuous measurement of skin conductance on the fingers was performed for ten subjects. The morphometric characteristics in the fluctuations of EDA signal were employed to establish the quantitative criteria for determining deep sleep. The 30-sec epoch-by-epoch comparison between the deep sleep detected by our method and that reported from PSG exhibited an average sensitivity of 74.6%, an average specificity of 98.0%, and an average accuracy of 96.1%. This study may address the growing need for a reliable and simple measure for identifying sleep stage without a PSG.

참고문헌 (Reference)

1 Berry R, "he AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications, version 2.0" American Academy of Sleep Medicine 2012

2 Broughton R, "The electrodermogram (Tarchanoff effect) during sleep" 18 (18): 691-708, 1965

3 Mcdonald DG, "Studies of Spontaneous Electro dermal Responses in Sleep" 13 (13): 128-134, 1976

4 Johnson LC, "Spontaneous electrodermal activity during waking and sleeping" 3 (3): 8-17, 1966

5 Freixa i Baqué E, "Spontaneous electrodermal activity during sleep in man: an intranight study" 6 (6): 77-81, 1983

6 Ware JC, "Sleep-related electrodermal activity patterns in impotent patients" 7 (7): 247-254, 1984

7 Liguori R, "Sleep stage-related changes in sympathetic sudomotor and vasomotor skin responses in man" 111 (111): 434-439, 2000

8 Tanida K, "Sleep stage assessment using power spectral indices of heart rate variability with a simple algorithm: limitations clarified from preliminary study" 15 (15): 264-272, 2012

9 Kobayashi R, "Skin sympathetic nerve function during sleep—a study with effector responses" 103 (103): 121-126, 2003

10 Hori T, "Skin potential activities and their regional differences during normal sleep in humans" 20 (20): 657-671, 1970

11 Sano A, "Quantitative analysis of wrist electrodermal activity during sleep" 94 (94): 382-389, 2014

12 Roth WT, "Publication recommendations for electrodermal measurements" 49 : 1017-1034, 2012

13 Carlson NR, "Physiology of Behavior" Pearson 2012

14 Asahina K, "Phenomenological study of paradoxical phase and reverse paradoxical phase of sleep" 14 (14): 365-372, 1964

15 Lester B, "Nocturnal EEG-GSR profiles: the influence of presleep states" 3 (3): 238-248, 1967

16 Ngo H-VV, "Induction of slow oscillations by rhythmic acoustic stimulation" 22 (22): 22-31, 2013

17 Sassin J, "Human growth hormone release: relation to slowwave sleep and sleep-waking cycles" 165 (165): 513-515, 1969

18 Koumans AJ, "Electrodermal levels and fluctuations during normal sleep" 5 (5): 300-306, 1968

19 Bresler M, "Differentiating between light and deep sleep stages using an ambulatory device based on peripheral arterial tonometry" 29 (29): 571-584, 2008

20 Ngo H-VV, "Auditory closed-loop stimulation of the sleep slow oscillation enhances memory" 78 (78): 545-553, 2013