# PSGpower: A MATLAB toolbox for analyzing sleep EEG data

**Authors:** Ahren B. Fitzroy, Rebecca M.C. Spencer

PMC · DOI: 10.1016/j.softx.2025.102076 · SoftwareX · 2025-04-21

## TL;DR

PSGpower is a MATLAB toolbox that streamlines and standardizes the analysis of sleep EEG data using various processing workflows.

## Contribution

The novel contribution is a unified and extensible MATLAB toolbox for sleep EEG data analysis across different acquisition systems and software.

## Key findings

- PSGpower supports data import from both legacy and modern sleep recording systems.
- The toolbox integrates existing and custom algorithms for microstructure analysis of sleep EEG data.
- PSGpower allows for the addition of new workflows using shared preprocessing and sleep staging code.

## Abstract

Sleep science has seen a surge in discoveries fueled by enhanced data processing approaches to sleep physiology recordings. PSGpower is a MATLAB toolbox designed to make these processing steps more efficient and standardized. PSGpower imports sleep polysomnography data recorded using legacy and modern acquisition systems, and sleep-staged using a variety of software packages, for processing in a number of microstructure analysis workflows. Workflows include existing algorithms from EEGLAB and FieldTrip and custom algorithms. PSGpower is extensible, and new workflows can be added that take advantage of the common data importing, sleep stage marking, and preprocessing code.

## Full-text entities

- **Diseases:** REM (MESH:D020187), COVID-19 (MESH:D000086382), NREM (MESH:D020923)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12011354/full.md

## References

20 references — full list in the complete paper: https://tomesphere.com/paper/PMC12011354/full.md

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Source: https://tomesphere.com/paper/PMC12011354