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논문 기본 정보

자료유형
학술저널
저자정보
정수정 (전남대학교병원 이비인후과학교실) 성종엽 (전남대학교병원) 김지수 (전남대학교병원 이비인후과학교실) 박종민 (전남대학교 의과대학 화순전남대학교병원 이비인후과학교실) 성충만 (전남대학교병원) 양형채 (전남대학교) 임상철 (전남대학교)
저널정보
대한이비인후과학회 대한이비인후-두경부외과학회지 대한이비인후-두경부외과학회지 제64권 제3호
발행연도
2021.1
수록면
169 - 175 (7page)

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Background and Objectives A lack of investigators for polysomnography has risen due toincreased demand since health insurance started to cover the cost of the test. We examined thereliability of the automated scoring of polysomnography, which has been deployed to improvethis imbalance. Subjects and Method We analyzed the data of 20 patients who underwent level 1 polysomnographyfrom April 1 to July 27, 2019. The software from Noxturnal (Nox Medical) was usedfor the scoring of the Polysomnography data. Each of the polysomnographic data was scoredboth by the automated scoring system and by a skilled technician. Results Twenty patients were analyzed. There was no significant difference between automatedscoring and manual scoring in sleep latency, apnea index, and rapid eye movementsleep stage ratio. However, the concordance rate of the sleep stage by epoch was 83.32%, andthere was a significant difference with regards to apnea-hypoapnea index (AHI) and respiratorydisturbance index (RDI). Two obvious errors were noted in the automated scoring that couldbe easily fixed; the failure to recognize wakefulness during sleep and the fragmentation of respiratoryevents. When two errors were corrected, many differences in polysomnography parameters,including AHI and RDI, were eliminated. Conclusion It showed 80% coincidence of epoch in the sleep stage between the automatedscoring and manual scoring. However, there was no difference in AHI and RDI when the fragmentedrespiratory events of the automated scoring were adjusted. Therefore, automated scoringis considered to be useful if only a little modification could be made.

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