ecg-arrhythmia-detection – AI Model by dheerajthuvara | AlphaNeural AI

You can deploy this model and start earning money today!

dheerajthuvara/
ecg-arrhythmia-detection

like

0

dheerajthuvara/ecg-arrhythmia-data

Views

No views yet

ECG Arrhythmia Detection — CNN-BiLSTM

Multi-class arrhythmia classification from ECG signals trained on the MIT-BIH Arrhythmia Database.

Model Performance

Class	F1
N — Normal	0.99
L — LBBB	1.00
R — RBBB	1.00
V — PVC	0.98
A — APC	0.91
Macro avg	0.98

Overall accuracy: 99%

Usage

python

from huggingface_hub import hf_hub_download
import torch, json, pickle

config = json.load(open(hf_hub_download("dheerajthuvara/ecg-arrhythmia-detection", "models/model_config.json")))
encoder = pickle.load(open(hf_hub_download("dheerajthuvara/ecg-arrhythmia-detection", "models/label_encoder.pkl"), "rb"))
# load model weights and run inference

Links