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인용수 1
·2025
Deep-Learning-Based Automated REM Sleep Detection in Patients With REM Sleep Behavior Disorder: Is It Reliable?
Yu Jin Jung, Sunil L. Kim, Yun Ho Choi, Dong-Woo Ryu, Woojun Kim, Seonghoon Kim, Jaeseung Jeong
IF 3.1Journal of Clinical Neurology
초록

Our U-Sleep-based REM sleep detector based on only EEG and EOG data showed good performance in detecting REM sleep. However, it performed considerably worse in RBD, especially in PD with RBD. Using transfer learning with fine-tuning by expert review, a high-performance REM sleep-detecting system will be realized.

키워드
REM sleep behavior disorderSleep (system call)PsychologySlow-wave sleepArtificial intelligenceMedicineComputer scienceNeurosciencePolysomnographyElectroencephalography
타입
article
IF / 인용수
3.1 / 1
게재 연도
2025

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