Downloads · 30 days
5
17% of all-time downloads
EKG-mctnet
SarmAI/EKG-mctnet
EKG-mctnet is a machine learning model from SarmAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
MCTnet: Dual-branch Conv + LTCAR Attention + VIB + Label Decoupling Head
All-time downloads
30
Public
Repo size
6.7 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt6.7 MB · 100%
At a glance
- Model type
- MCTnet
- Access
- Public
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026
- SHA
- b11a412c
Model card
From the Hugging Face model README
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
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()
- Type
- MCTnet
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026