Version 1.3.0

Release Highlights:

• Converted datasets now being pulled from S3
• Removed task specific logic from dataset classes.
• Update task structure to separate methods (e.g. train.py)
• Add helper functions to create dataset pipelines.
• Add initial foundational model to perform contrastive learning across ECG leads.

Version 1.1.0

Release Highlights:

• Add augmentation pipelines.
• Add Physiokit routines for HRV metrics and R peak detection.
• Reduce model sizes by over 50% while preserving accuracy.
• Add new QTDB dataset.
• Reduced sampling frequency from 250Hz to 200Hz.
• Update preprocessing to apply biquad filter forward backward to maintain zero phase.
• Add quantization-aware training (fine-tuning) for segmentation model.
• Add MobileOne (1D variant) model architecture.
• Add additional structs to reduce shared globals in EVB code.
• Update to TF 2.13.
• Update to Python 3.11.
• Various bug fixes and performance improvements.