DeepECG models
Collection
Collections store the different models trained for DeepECG Project
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DeepECG EfficientNet V2 Fine Tuned to detect LVEF under or equal 40 % model
- model_name:
efficientnetv2_lvef_equal_under_40 - 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 <= 40%.
- Model compiled with JIT,
To load use
import torch
model = torch.jit.load(model_path)
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