pyPhasesRecordloader 0.12.1

Adds a record loaders to the pyPhases package

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 support
• h5py - for H5 file support
• scipy - for MAT file support
• wfdb - for WFDB format support
• boto3 - for S3 downloader support