PhysioNet-CinC-Challenge2020-TeamUIO
importedsoftware/physionet-cinc-challenge2020-teamuio
Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Documentation
- unknown
- Tags
- 1d-convolution · cardiovascular-diseases · deep-neural-networks · ecg · time-series-classification
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ECG-classification-using-open-data1d-convolution · cardiovascular-diseases · deep-neural-networks · ecg · time-series-classification
ECG classification using public data and state-of-the-art 1D CNN models. This work is based on George Moody Challenge 2020
- PhysioNetChallenge2021-CNNcardiovascular-diseases · ecg · time-series-classification
Public repository associated with: "Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain"
- ECG-Atrial-Fibrillation-Classification-Using-CNN1d-convolution · ecg
This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
- physionet_2017_rcrnnecg · time-series-classification
Solving physionet2017 with RCRNN
- lausmcardiovascular-diseases
Generate a standardized 2D map of the left atrium by unfolding a 3D mesh and its variables
- arl-eegmodelstime-series-classification
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
- api.github.com/repos/Bsingstad/PhysioNet-CinC-Challenge2020-TeamUIOretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-01-08, 29 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/57.json→ .entries["physionet-cinc-challenge2020-teamuio"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.