MEEGIPS—A Modular EEG Investigation and Processing System for Visual and Automated Detection of High Frequency Oscillations

Frontiers in Neuroinformatics, 2019 · DOI: 10.3389/fninf.2019.00020 · Published: April 5, 2019

Simple Explanation

This paper introduces MEEGIPS, a software designed for analyzing brain activity using electroencephalography (EEG), focusing on high frequency oscillations (HFOs). HFOs are linked to both normal brain functions and epilepsy. The software aims to bridge the gap between clinical needs and experimental research by providing tools for visual and automated HFO detection. MEEGIPS incorporates five automated detection algorithms and allows for future expansion and algorithm implementation due to its modular architecture. The system is user-friendly and designed for both visual and automated analysis of EEG data. The software allows neurologists to efficiently review EEG recordings, while enabling scientists to experiment with and optimize detection and classification strategies.

Study Duration

Not specified

Participants

Not specified

Evidence Level

Not specified

Key Findings

1
MEEGIPS is a highly user friendly software that includes ﬁve of the most prominent automated detection algorithms.
2
Future evaluation of these, as well as implementation of further algorithms is facilitated by the modular software architecture.
3
The software framework is suited for both, visual and automated detection of HFOs.

Research Summary

The project MEEGIPS, a Modular EEG Investigation and Processing System for visual and automated detection of HFOs, introduces a highly user friendly software that includes ﬁve of the most prominent automated detection algorithms. Future evaluation of these, as well as implementation of further algorithms is facilitated by the modular software architecture. We designed and developed a comprehensive and extensible software framework for HFO analysis.

Practical Implications

Clinical Application

MEEGIPS can be used to assist neurologists in identifying seizure onset zones, improving the accuracy of epilepsy diagnosis and treatment planning.

Research Tool

The software's modular design facilitates the development and testing of new HFO detection algorithms, accelerating epilepsy research.

Data Standardization

By supporting multiple EEG data formats, MEEGIPS promotes interoperability and data sharing among researchers and clinicians.

Study Limitations

1
The software is currently only available for Mac OS.
2
The evaluation of the implemented algorithms was not the focus of this manuscript.
3
MEEGIPS does not include means for securing and protecting the data

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