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Blood pressure estimation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings
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
Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation
Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
A General-Purpose Neuromorphic Sensor based on Spiketrum Algorithm: Hardware Details and Real-life Applications
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention
AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification
Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study AI for ECG to CMR Translation Study
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation
VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation
Non-linear Analysis Based ECG Classification of Cardiovascular Disorders
ECGMamba: Towards Efficient ECG Classification with BiSSM
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
Exploring the limitations of blood pressure estimation using the photoplethysmography signal
Empirical investigation of multi-source cross-validation in clinical ECG classification
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
Transfer Learning in ECG Diagnosis: Is It Effective?
MSPM: A Multi-Site Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals
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