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resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.DL-ECG-Review
A Review of Deep Learning Methods on ECG DataMINA
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019PhysioNet
MIT-BIH data preprocessing and a sample deep modeltransformer1d
pytorch implementation of transformer for 1D dataHOLMES
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units (KDD 2020)PIC_mortality
Predicting In-hospital Mortality of Patients in the Pediatric ICUCardioV
Estimating Critical Value from Electrocardiogram using a Deep Ordinal Convolutional Neural NetworkCardioLearn
CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram (WWW 2020 Demo)cinc2020_meta
Practical Lessons of 12-lead ECG Classification: Meta-Analysis of Methods from PhysioNet/Computing in Cardiology Challenge 2020DDL
Some CS conf. countdownDL-Sleep-ECG
ECG_feature_extraction
hsd1503.github.io
https://hsd1503.github.io/EEG-Seizure-Dataset
EEG Seizure Datasetecg_uncertainty
RDPD
RDPD: Rich Data Helps Poor Data via Imitation, IJCAI 2019event2vec
Event2vec: Learning Representations of Events on Temporal Sequences. APWeb-WAIM 2017PIC
PIC dataset related codescovid19_rnn
MachineLearningTutorials
Interpretability
InterpretabilityECG_SNN
Building and training a deep spiking neural network for ECG classificationCardioDefense
covid19
CourseraDataScience
Coursera Johns Hopkins Specialization in Data Science coursehirid
Computing circulatory status of HiRID dataecg_plot
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