IntelliSleepScorer, программный комплекс с графическим пользовательским интерфейсом для автоматизированной оценки стадий сна мышей

Overview

This study presents IntelliSleepScorer, an easy-to-use graphical user interface (GUI) software designed for researchers to automatically score sleep stages in mice without requiring coding skills. The software demonstrates a high accuracy of 95.2% in scoring and allows for manual corrections and SHAP value visualizations to explain scoring decisions.

Key Study Components

Area of Science

• Neuroscience
• Sleep Research
• Bioinformatics

Background

• Manual scoring of sleep stages in mice is labor-intensive and challenging.
• There is a need for accessible tools for researchers with limited coding experience.
• The software addresses these needs by providing automation and flexibility.

Purpose of Study

• To develop a software package that simplifies the process of scoring sleep stages in mice.
• To improve accessibility for non-coding researchers.
• To enable scoring with high accuracy and provide tools for manual correction.

Methods Used

• The software allows researchers to score sleep stages using EDF formatted files.
• Mice were the biological model used, focusing on sleep stage analysis.
• Manual corrections and interpretation of results using SHAP values are included as features.
• Data processing steps include converting file formats and applying trained models.
• Users can download and install the software across multiple operating systems including Windows, macOS, and Linux.

Main Results

• IntelliSleepScorer achieves a scoring accuracy of 95.2% on sleep stages in mice.
• It provides manual editing options for users to ensure accuracy in scoring.
• The software's SHAP value visualizations help explain the model's scoring decisions.

Conclusions

• The study demonstrates that IntelliSleepScorer effectively facilitates the scoring of sleep stages in mice.
• The user-friendly interface broadens accessibility for researchers in sleep research.
• This tool enhances the understanding of sleep behaviors and aids in future studies.

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