metadata

license: apache-2.0

DeepECG EfficientNet V2 Fine Tuned to detect LVEF under 50 % model

model_name: efficientnetv2_lvef_under_50
Utilizes the EfficientNetV2 architecture for processing ECG signals.
Pre-trained model is loaded from a specified directory, and the model is used to process ECG signal tensors.
The model takes an input signal tensor and outputs the logits for the binary classification of LVEF < 50%.
Model compiled with JIT,
Frozen weights no tunable

To load use

import torch
model = torch.jit.load(model_path)