Papers with Code 아카이브
Electrocardiography (ECG)
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
CAST-Phys: Contactless Affective States Through Physiological signals Database
Longitudinal analysis of heart rate variability as it pertains to anxiety and readiness
Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
Non-Contact Health Monitoring During Daily Personal Care Routines
Physiological-Model-Based Neural Network for Heart Rate Estimation during Daily Physical Activities
Cross-Learning Between ECG and PCG: Exploring Common and Exclusive Characteristics of Bimodal Electromechanical Cardiac Waveforms
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation
CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
Interpretable Graph Learning Over Sets of Temporally-Sparse Data
Time series saliency maps: explaining models across multiple domains
Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients
Early Prediction of In-Hospital ICU Mortality Using Innovative First-Day Data: A Review
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors
IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability
Extending Stress Detection Reproducibility to Consumer Wearable Sensors
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings
Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs
Advancing Remote and Continuous Cardiovascular Patient Monitoring through a Novel and Resource-efficient IoT-Driven Framework
From Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes
Real-Time, Single-Ear, Wearable ECG Reconstruction, R-Peak Detection, and HR/HRV Monitoring
Contactless pulse rate assessment: Results and insights for application in driving simulator
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series
PsyCounAssist: A Full-Cycle AI-Powered Psychological Counseling Assistant System
ECGDeDRDNet: A deep learning-based method for Electrocardiogram noise removal using a double recurrent dense network
Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms
Paging Dr. GPT: Extracting Information from Clinical Notes to Enhance Patient Predictions
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex Scenarios
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