Papers with Code 아카이브

Sleep Stage Detection

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전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 16
보존된 평가 기록: 55

Human Sleep Staging into W-N1-N2-N3-REM classes from multiple or single polysomnography signals

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/pquochuy/sleep_transfer_learning

공식 코드

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

https://github.com/predict-idlab/sleep-linear

공식 코드

Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring

https://github.com/qhan-hu/multi-view-fusion-and-missing-in-cardiovascular-signals

공식 코드

Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals

https://github.com/sczzz3/SDI

공식 코드

Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health

https://github.com/shashankmanjunath/tda_sleep_staging

공식 코드

Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curves

https://github.com/tsy935/graphs4mer

공식 코드

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models

https://github.com/wjq-learning/sleepdg

공식 코드

Generalizable Sleep Staging via Multi-Level Domain Alignment

https://github.com/xuejiang16/ssl-torch

공식 코드

Self-supervised Contrastive Learning for EEG-based Sleep Staging

https://github.com/ycq091044/contrawr

공식 코드

Self-supervised EEG Representation Learning for Automatic Sleep Staging

https://github.com/yeon-lab/dream

공식 코드

Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging

https://github.com/younghoonNa/MC2SleepNet

공식 코드

MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification

https://github.com/ziyujia/SalientSleepNet

공식 코드

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

https://github.com/AbhayKoushik/RealTimeSleepStaging

Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG

https://github.com/CVxTz/EEG_classification

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/JuliaCarosi/registros

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

https://github.com/MathieuSeraphim/SPDTransNet_plus

Structure-Preserving Transformers for Sequences of SPD Matrices

https://github.com/MousaviSajad/SleepEEGNet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

https://github.com/SandraPrestel/deep-sleep-transfer

Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG

https://github.com/Timothy102/EEG-Sleep

Sleep syndromes onset detection based on automatic sleep staging algorithm

https://github.com/UKBWorks/AccSleepNet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/WoongheeLee/DeepSleepNet_Implementation_in_Keras

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/WoongheeLee/SleepEEGNet_in_TensorFlow2

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

https://github.com/duggalrahul/REST

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild

https://github.com/emadeldeen24/eval_ssl_ssc

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/famousgrouse/AccSleepNet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/gmarceca/UTime-PlasmaStates

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

https://github.com/jstranne/mouse_self_supervision

Uncovering the structure of clinical EEG signals with self-supervised learning

https://github.com/kylemath/DeepEEG

Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG

https://github.com/leesk212/new_deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/navsnav/Minimal-RBD-Detection

Screening for REM Sleep Behaviour Disorder with Minimal Sensors

https://github.com/perslev/U-Time

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

https://github.com/pquochuy/xsleepnet

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

https://github.com/wangjinzhuo/wearables

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/zacharycbrown/ssl_baselines_for_biosignal_feature_extraction

Uncovering the structure of clinical EEG signals with self-supervised learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.