heartbeat-classification-cnn
importeddata/heartbeat-classification-cnn
An advanced ECG anomaly detection system using deep learning. This repository contains a CNN autoencoder trained on the PTBDB dataset to identify abnormal heart rhythms. It employs various loss…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- anomaly-detection · autoencoder · cardiology · data-visualization · deep-learning · ecg-analysis · healthcare-ai · machine-learning
- 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.
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Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
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A smart IoT heart‐rate and SpO₂ monitoring system built on ESP8266 + MAX30100 with live Blynk dashboard and Python ML modules for anomaly detection.(Built in 2022-23)
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Reference-free, privacy-preserving wastewater pathogen surveillance for federated hospital networks. DNABERT-2 embeddings + Transformer-encoder VAE detect emerging anomaly clusters in unclassified…
- Real-Time-ECG-Monitoring-Androidanomaly-detection
Android Application for Real-Time ECG Anomaly Detection Written in Kotlin
- UniTSanomaly-detection
A unified multi-task time series model.
- api.github.com/repos/jorgesandoval/heartbeat-classification-cnnretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-10-23, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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