pyPhasesRecordloader
Unified biomedical signal loading base for pyPhases — EDF, H5, MAT, WFDB. Required by all dataset loaders.
Install
pip install pyPhasesRecordloader
→ [Loading Data](https://sleepyphases.readthedocs.io/en/latest/tutorial/load-data.html)
→ [Creating new Record Loaders](https://sleepyphases.readthedocs.io/en/latest/guides/recordloader.html)
→ [Create new Vendor Config](https://sleepyphases.readthedocs.io/en/latest/guides/vendor-config.html)
## 🎯 Overview
pyPhasesRecordloader is designed for researchers and developers working with biomedical signals (EEG, ECG, EMG, PPG, etc.). It provides:
- **Unified Signal Interface**: Standardized classes for handling raw signals and multi-channel recordings
- **Multiple Format Support**: Built-in loaders for EDF, H5, MAT, WFDB, and XML annotation files
- **Flexible Data Sources**: Download capabilities from local folders, web directories, and S3-compatible storage
- **Signal Processing**: Channel combination, normalization, resampling, and preprocessing
- **Event Management**: Annotation and event handling with frequency adjustment
## 📦 Installation
```bash
pip install pyPhasesRecordloader
add to project.yaml:
plugins:
- pyPhasesRecordloader
Dependencies
- pyPhases
- numpy
- tqdm
- pandas
Optional dependencies for specific loaders:
pyedflib- for EDF file supporth5py- for H5 file supportscipy- for MAT file supportwfdb- for WFDB format supportboto3- for S3 downloader support
1 maintainer
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