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SarmAI/
EKG-mctnet

Name: EKG-mctnet
Availability: InStock

MCTnet

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ECG MCTnet — 5-class ECG Arrhythmia Classifier

Model

MCTnet: Dual-branch Conv + LTCAR Attention + VIB + Label Decoupling Head

Classes

Normal
AFIB (Atrial Fibrillation)
AFL (Atrial Flutter)
LBBB (Left Bundle Branch Block)
RBBB (Right Bundle Branch Block)

Performance

Val Macro-F1: 0.8198
Dataset: TEKNOFEST ECG 2026

Input

Shape: (batch, 12, 5000)
12-lead ECG @ 500Hz, 10 seconds

Usage

python

import torch
from huggingface_hub import hf_hub_download

# Model indir
weights = torch.load(hf_hub_download(repo_id="SarmAI/EKG-mctnet", filename="model.pt"))
model = MCTnet(MCTnetConfig())
model.load_state_dict(weights)
model.eval()