neuralnet-mcg
importedsoftware/neuralnet-mcg
CNN to diagnose heart disease in ECG and MCG patients
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Smith42/neuralnet-mcg
- Documentation
- unknown
- Tags
- cnn · ecg · machine-learning · mcg · mcg-devices
- Regulatory
- unknown
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In this project, we introduce a deep learning-based model for predicting age from 12-lead ECG data.
ECG-DigitizeNet: A complete end-to-end system that converts raw 12-lead ECG images into digitized time-series signals, classifies cardiac conditions using a Hybrid CNN–Transformer (ViT-like) deep…
- ecg-mit-bihcnn · ecg
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,…
- ECGTransFormcnn · ecg
[Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer
- EDIcnn · ecg
A Method to Improve Any ECG Denoising Technique In limb leads
A deep learning pipeline for classifying heartbeats from UWB radar signals using a pre-trained Convolutional Neural Network (CNN). The UWB data is filtered, segmented, and normalized to match…
- api.github.com/repos/Smith42/neuralnet-mcgretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-12-01, 26 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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