ecg-ai-monitor
importedsoftware/ecg-ai-monitor
PyQt5 ECG AI assist monitor with TorchScript inference, offline replay, model contract, and one-click demo.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/fengqqqing/ecg-ai-monitor
- Documentation
- unknown
- Tags
- desktop-app · ecg · medical-ai · model-deployment · offline-replay · pyqt5 · python · pytorch · signal-processing · torchscript
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ECG-DigitizeNet-Image-to-Time-Series-Digitization-and-Hybrid-CNN-ViT-LLM-Diagnosticecg · medical-ai · pytorch · signal-processing
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…
- SynthECGecg · medical-ai · pytorch
The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models
- XAI_SignalCAMecg · pytorch · signal-processing
PyTorch implementation of the lightweight CNN-based ECG classification approach with integrated explainable AI (XAI) capabilities presented in the paper "Lightweight Data-driven ECG Classification…
- ECG-Viewerecg · pyqt5
ECG Viewer is a graphical interpreter for the ECG Reader sensor. Written in Python with PyQT5 + pyqtgraph.
- Olimex-ECG-Python-Visualizerecg · pyqt5
An alternative to Elec Guru written in python using PyQt 5 UI Framework
- DeepIVUSpyqt5
Platform for deep learning based segmentation and phenotyping of IVUS pullbacks
- api.github.com/repos/fengqqqing/ecg-ai-monitorretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-06-08, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/40.json→ .entries["ecg-ai-monitor"]
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