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ECG-Multi-Label-Classification-Using-Multi-Model

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software/ecg-multi-label-classification-using-multi-model

In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
12-lead-ecg · biosignal · classification · deep-learning · dnn · ecg · ecg-classification · multi-model
Regulatory
unknown
built by · 1

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.

similar by tags

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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  • eeg-rsenetbiosignal · classification

    Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

  • scpinfobiosignal · ecg

    A python command line tool to read an SCP-ECG file and print structure information

  • sEMG-Simbiosignal

    Source code for multiple parameter modelling of synthetic electromyography data.

  • automatic-ecg-diagnosisecg · ecg-classification

    Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

sources
  1. api.github.com/repos/JaeBinCHA7/ECG-Multi-Label-Classification-Using-Multi-Model
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-08-26, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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