컴퓨터를 이용한 수면 뇌파 분석：스펙 트럼, 비경향 변동, 동기화 분석 예시

• 영문명: Linear/Non-Linear Tools and Their Applications to Sleep EEG： Spectral, Detrended Fluctuation, and Synchrony Analyses
• 발행기관: 대한수면의학회
• 저자명: 김종원(Jong Won Kim)
• 간행물 정보: 『수면정신생리』제15권 제1호, 5~11쪽, 전체 7쪽
• 주제분류: 의약학 > 정신과학
• 파일형태: PDF
• 발행일자: 2008.06.30

영문 초록

Sleep is an essential process maintaining the life cycle of the human. In parallel with physiological, cognitive, subjective, and behavioral changes that take place during the sleep, there are remarkable changes in the electroencephalogram (EEG) that reflect the underlying electro-physiological activity of the brain. However, analyzing EEG and relating the results to clinical observations is often very hard due to the complexity and a huge data amount. In this article, I introduce several linear and non-linear tools, developed to analyze a huge time series data in many scientific researches, and apply them to EEG to characterize various sleep states. In particular, the spectral analysis, detrended fluctuation analysis (DFA), and synchrony analysis are administered to EEG recorded during nocturnal polysomnography (NPSG) processes and daytime multiple sleep latency tests (MSLT). I report that 1) sleep stages could be differentiated by the spectral analysis and the DFA ; 2) the gradual transition from Wake to Sleep during the sleep onset could be illustrated by the spectral analysis and the DFA ; 3) electrophysiological properties of narcolepsy could be characterized by the DFA ; 4) hypnic jerks (sleep starts) could be quantified by the synchrony analysis.

목차

서 론

본 론

결 론

키워드

뇌파 파워 스펙트럼 탈경향 변동 분석 동기화 기면 Electroencephalogram Power spectrum Detrended fluctuation analysis Synchrony Narcoleps