We provide algorithmic, hardware, and software technical support for universities, hospitals, and research institutions to jointly advance medical AI research.
A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm
Multi-modal artificial intelligence algorithm for the prediction of left atrial low-voltage areas in atrial fibrillation patient based on sinus rhythm electrocardiogram and clinical characteristics: a retrospective, multicentre study
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning
Deep Learningin Heart Sound Analysis: From Techniques to Clinical Applications
Non-invasive Continuous Blood Pressure Estimation via Deep Learning on ECG-PPG
Cross-modal ECG Large Language Model Q&A System Based on Prompt Engineering and Retrieval-Augmented Generation
Research and Application of Large Models for Paper-based ECG Analysis
An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation
Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm
DiffuSETS: 12-lead ECC Generation Conditioned on Clinical Text Reports and Patient-Specific Information
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study
Predicting Atrial Fibrillation Recurrence After Cryoablation Based on AI ECG Differences
CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training
A REVIEW OF DEEP LEARNING METHODS FOR PHOTOPLETHYSMOGRAPHY DATA
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning
Less is More: Reducing Overfitting in Deep Learning for EEG Classification
Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks
DEEP LEARNING FOR HEART SOUND ANALYSIS: A LITERATURE REVIEW
Heart Age Prediction Method and Application Based on ECG Artificial Intelligence
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer
Research on PPG-to-ECG Generation Algorithm Based on Diffusion Model
Artifcial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
Research on Artificial Intelligence Algorithm for Atrial Fibrillation Detection from Paper ECG
Advances in Clinical Application of Artificial Intelligence ECG Analysis Technology
A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection
Artificial Intelligence Model for Predicting Severe Coronary Stenosis from Approximately Normal ECG
DEEP LEARNING IN THE PREDICTION OF ANGIOGRAPHY-PROVEN SEVERE CORONARY STENOSIS IN PATIENTS WITH APPARENTLY NORMAL ELECTROCARDIOGRAMS
Estimating critical values from electrocardiogram using a deep ordinal convolutiona neural network
Building and training a deep spiking neural network for ECG classification
USE OF A DEEP LEARNING ALGORITHM TO PREDICT PAROXYSMAL ATRIALFIBRILLATION BASED ONPRINTED ELECTROCARDIOGRAPHIC RECORDSACQUIRED DURING SINUS RHYTHM
Diagnosis of Reflex Syncope Using AI Electrocardiogram and Patient Characteristics
A deep learning method for atrial fibrillation detection from paper-based ECG
Transformation from Phonocardiogram into Electrocardiogram using a Transformer-based Neural Machine Translation Model
Matching Electrocardiogram with Music Based on Emotion
Deep Learning Algorithm for Localizing the Origin of Outflow Tract Ventricular Arrhythmias Based on Paper ECG
Binarizing physiological time series with deep hashing neural network
Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs
IDENTIFYING THE ORIGIN OF OUTFLOW TRACT VENTRICULAR ARRHYTHMIAS BASED ON PRINTED ELECTROCARDIOGRAPHIC RECORDS WITH AN ARTIFICIAL INTELLIGENCE ALGORITHM
Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management
learning to identifcation from electrocardiogram data
Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates
A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram
Method and system for predicting left atrial low-voltage areas based on artificial intelligence
Sleep staging method and apparatus based on sleep stage ratio
ECG patch sensor and electrocardiograph
Power-on circuit for ECG collector, collector, and patch-type ECG device
Non-invasive blood pressure prediction method, system, and device
ECG similarity threshold calculation, identity recognition method, and storage medium
Paper ECG analysis method, apparatus, electronic device, and storage medium
Method, apparatus, electronic device, and storage medium for generating atrial fibrillation risk probability
Method and system for generating Holter beat templates
QRS detection method and system based on multi-level smooth envelope
ECG analysis method, apparatus, electronic device, and storage medium
ECG image analysis method, apparatus, and terminal device in medical environments
Method for improving robustness of neural networks classifying ECG signals
ECG image analysis method, apparatus, device, medium, and system for home use
ECG screening method and system for asymptomatic severe coronary stenosis
Intelligent algorithm, storage medium, and computer system for automatic PPG–ECG conversion
Method and system for heartbeat artifact recognition
Model construction and gender recognition method based on single-lead ECG
Atrial fibrillation classification method, apparatus, and system based on spatial RR-interval features
Method, apparatus, and system for building and classifying ECG image models
Holter monitor (design patent)
Method, system, apparatus, and medium for matching ECG and music signals
Arrhythmia detection method based on curriculum meta-learning
Method, system, and device for converting phonocardiogram signals to ECG signals
Method, apparatus, and system for building and segmenting paper-ECG segmentation models
Method, apparatus, medium, and device for removing EMG interference based on smooth decomposition
Method and system for extracting paper-ECG signal regions using deep neural networks
QRS complex detection method, apparatus, medium, and device based on feature template matching
Heart age assessment method, apparatus, electronic device, and storage medium
Critical-value processing method, system, and medium for ECG signals based on deep learning
ECG-based identity recognition method using deep hashing neural networks
Portable ECG device (design patent)
Storage case for portable ECG device (design patent)
ECG signal segmentation method based on deep neural networks
ECG signal generation method based on generative adversarial networks
Lightweighting method for deep learning models of ECG signals
ECG signal data labeling method based on active learning
QRS complex recognition method for ECG signals based on deep learning
ECG noise recognition method based on deep neural networks
Method and system for P-wave detection in ECG signals
ECG waveform localization method based on attention recurrent neural networks
Automatic ECG feature extraction method based on 1D convolutional neural networks
Lead reversal detection method for ECG devices based on machine learning
ECG data augmentation method based on multi-view transformation
ECG analysis method based on random ensemble learning
Smart ECG recorder (design patent)
Multi-disease ECG analysis method based on deep neural networks
Method for detecting ECG waveform features using wavelet transform and logistic regression
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