GitHub / ChristophReich1996 / ECG_Classification
Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ChristophReich1996%2FECG_Classification
PURL: pkg:github/ChristophReich1996/ECG_Classification
Stars: 65
Forks: 10
Open issues: 3
License: mit
Language: Python
Size: 537 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: 4 months ago
Pushed at: about 2 years ago
Last synced at: 4 months ago
Topics: classification, convolutional-neural-networks, deep-learning, ecg-classification, ecg-data, ecg-signal, embc, machine-learning, pattern-recognition, pytorch, signal-processing, transformer