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README.md

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+# ECG Analysis Model
+
+This is a lightweight CNN model trained for ECG image classification.
+
+## Model Details
+- **Model Type**: Convolutional Neural Network
+- **Classes**: NORM, AFIB, SBRAD, STACH, BIGEMINY, VT
+- **Input Size**: 224x224x3 (RGB images)
+- **Framework**: PyTorch
+
+## Usage
+```python
+import torch
+from model import SimpleCNN
+
+model = SimpleCNN(num_classes=6)
+model.load_state_dict(torch.load('model.pt'))
+model.eval()
+```
+
+## Training Data
+- Synthetic ECG patterns
+- 6 classes: NORM, AFIB, SBRAD, STACH, BIGEMINY, VT
+- Training samples: 800
+- Test samples: 200
+
+Created: 2025-09-19 15:23:09