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Heartbeat Classification

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Showing 1–25 of 28 papers

TitleStatusHype
ECG Heartbeat Classification Using Multimodal FusionCode1
Construe: a software solution for the explanation-based interpretation of time seriesCode1
HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal AnalysisCode1
ATCN: Resource-Efficient Processing of Time Series on EdgeCode0
Heartbeat classification using various machine learning models: A comparative studyCode0
Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiersCode0
ECG Heartbeat Classification: A Deep Transferable RepresentationCode0
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approachCode0
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning—0
ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique—0
Generative Pre-Trained Transformer for Cardiac Abnormality Detection—0
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN—0
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG—0
Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO—0
Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity’s Global Sequence Features and BiLSTM-Attention Neural Network—0
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography—0
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection—0
Multi-Feature Fusion and Compressed Bi-LSTM for Memory-Efficient Heartbeat Classification on Wearable Devices—0
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification—0
A convolutional neural network approach to detect congestive heart failure—0
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification—0
Active Learning Applied to Patient-Adaptive Heartbeat Classification—0
A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection—0
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms—0
A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals—0
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