Papers with Code 아카이브

Electrocardiography (ECG)

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

https://github.com/esl-epfl/KID-PPG

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KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

https://github.com/esl-epfl/cross-domain-saliency-maps

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Time series saliency maps: explaining models across multiple domains

https://github.com/esl-epfl/cross-domain-saliency-maps-paper

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Time series saliency maps: explaining models across multiple domains

https://github.com/esl-epfl/kid-ppg-paper

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KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

https://github.com/eth-siplab/Finding_Order_in_Chaos

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Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning

https://github.com/eth-siplab/MultiSite-PPG-Robust_HeartRate

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Robust Heart Rate Detection via Multi-Site Photoplethysmography

https://github.com/eth-siplab/beliefppg

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BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation

https://github.com/eth-siplab/nightbeat

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Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep

https://github.com/eugenelet/Meta-rPPG

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Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner

https://github.com/farihahossain/ecg-atk-gan

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ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks

https://github.com/fperdigon/DeepFilter

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DeepFilter: an ECG baseline wander removal filter using deep learning techniques

https://github.com/g2lab/pcfbl

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Privacy-preserving patient clustering for personalized federated learning

https://github.com/gloewing/oec

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Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation

https://github.com/harryjdavies/heartgpt

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Interpretable Pre-Trained Transformers for Heart Time-Series Data

https://github.com/helme/ecg_ptbxl_benchmarking

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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

https://github.com/hestiri/mlho

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Individualized Prediction of COVID-19 Adverse outcomes with MLHO

https://github.com/hhi-aml/ecg-selfsupervised

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Self-supervised representation learning from 12-lead ECG data

https://github.com/hsd1503/MINA

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MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals

https://github.com/huayuliarizona/score-based-ecg-denoising

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DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal

https://github.com/huckiyang/Voice2Series-Reprogramming

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Voice2Series: Reprogramming Acoustic Models for Time Series Classification

https://github.com/inesamar/pulseoxbias

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Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking

https://github.com/information-fusion-lab-umass/multiwave

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MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction

https://github.com/iobt-vistec/apsense

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ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing

https://github.com/ipolharvard/ethos-paper

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Zero Shot Health Trajectory Prediction Using Transformer

https://github.com/iskandr/fancyimpute

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Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

https://github.com/jmdvinodjmd/coper

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COPER: Continuous Patient State Perceiver

https://github.com/joaodsmarques/are-ecgs-enough-deep-learning-classifiers

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Are ECGs enough? Deep learning classification of cardiac anomalies using only electrocardiograms

https://github.com/jonathancrabbe/simplex

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Explaining Latent Representations with a Corpus of Examples

https://github.com/jornjan/mmshap-xai2024

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Feature importance to explain multimodal prediction models. A clinical use case

https://github.com/kaggarwal/ClinicalNotesICU

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Using Clinical Notes with Time Series Data for ICU Management

https://github.com/kalmannet/hkf_icassp23

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HKF: Hierarchical Kalman Filtering with Online Learned Evolution Priors for Adaptive ECG Denoising

https://github.com/kazabana/ce-ssl

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CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection

https://github.com/kazabana/fastecg

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CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection

https://github.com/khhungg/MECG-E

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MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal

https://github.com/king-huoye/bibm-2024

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IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities

https://github.com/kingrc15/multimodal-clinical-pretraining

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Multimodal Pretraining of Medical Time Series and Notes

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