← Sleep Stage Detection

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SHHS

아카이브 평가 10건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
SynthSleepNet (EEG2+EOG2+EMG1)	Accuracy 89.89% Cohen's Kappa 0.860 Macro-F1 0.845	Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework 2025-02-18	코드 1
CoRe-Sleep (EEG-EOG)	Accuracy 89.5% Cohen's Kappa 0.853 Macro-F1 0.823	CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities 2023-03-27	연결 없음
SynthSleepNet (EEG1+EOG1+EMG1)	Accuracy 89.28% Cohen's Kappa 0.850 Macro-F1 0.835	Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework 2025-02-18	코드 1
XSleepNet2 (EEG, EOG, EMG)	Accuracy 89.1% Cohen's Kappa 0.847 Macro-F1 0.823	연결 없음 논문 날짜 미기재	연결 없음
MC2SleepNet 50% Masking (C4-A1 only)	Accuracy 88.6% Cohen's Kappa 0.841 Macro-F1 0.821	MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification 2025-02-13	코드 1
MC2SleepNet 15% Masking (C4-A1 only)	Accuracy 88.5% Cohen's Kappa 0.840 Macro-F1 0.823	MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification 2025-02-13	코드 1
SynthSleepNet (EEG1+EOG1)	Accuracy 88.31% Cohen's Kappa 0.840 Macro-F1 0.820	Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework 2025-02-18	코드 1
CoRe-Sleep (EEG)	Accuracy 88.2% Cohen's Kappa 0.834 Macro-F1 0.808	연결 없음 논문 날짜 미기재	연결 없음
SleePyCo (C4-A1 only)	Accuracy 87.9% Cohen's Kappa 0.830 Macro-F1 0.807	연결 없음 논문 날짜 미기재	연결 없음
NeuroNet (C4-A1 only)	Accuracy 86.88% Macro-F1 0.812	NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG 2024-04-10	코드 1