AbdelRayan/AutomaticSleepScoring
Dec 2024 – Dec 2024
1 Month active
Languages Used
MATLAB
Technical Skills
Data AnalysisMATLABMATLAB ScriptingMachine LearningNeuroscience Data AnalysisSignal Processing
Pierre-BaptitseAubert
PROFILE
Pierre-baptitseaubert
Pierre-Baptiste Aubert developed a comprehensive Sleep State Analysis Toolkit for the AbdelRayan/AutomaticSleepScoring repository, delivering MATLAB scripts that process accelerometer data, extract EMG from LFP, and compute spectral features such as delta, theta, and beta bands. He refactored the sleep scoring pipeline to consolidate data loading and analysis, integrating multi-metric scoring for NREM, REM, and movement states using broadband slow-wave activity and improved thresholding. His work included detailed documentation and usage guides, supporting reproducible neuroscience data analysis. Additionally, for EPF-MDE/git-first-steps, he implemented persistent git user identity storage, enhancing contributor attribution and governance using binary file management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
5,855
Activity Months2
Your Network
68 people
Work History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for EPF-MDE/git-first-steps: Delivered the User Identity Storage and Attribution feature, enabling persistent git username storage in a binary file under the info directory and updating the AUTHORS file to recognize the new contributor. This work improves identity management, attribution accuracy, and governance readiness, and provides a solid foundation for ongoing contributor analytics. No major bugs fixed in this period based on the provided data. Key commits demonstrate disciplined version control and clear feature articulation: edd10374cce1c2dad1b9769c09ebf1bb66d5f44b (Add git username) and 4e3d1a9e3130d234d68709839d7fc93349589583 (add username to Authors).
2 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for EPF-MDE/git-first-steps: Delivered the User Identity Storage and Attribution feature, enabling persistent git username storage in a binary file under the info directory and updating the AUTHORS file to recognize the new contributor. This work improves identity management, attribution accuracy, and governance readiness, and provides a solid foundation for ongoing contributor analytics. No major bugs fixed in this period based on the provided data. Key commits demonstrate disciplined version control and clear feature articulation: edd10374cce1c2dad1b9769c09ebf1bb66d5f44b (Add git username) and 4e3d1a9e3130d234d68709839d7fc93349589583 (add username to Authors).
February 2025
December 2024
3 Commits • 3 Features
Dec 1, 2024Month: 2024-12 — AbdelRayan/AutomaticSleepScoring. This month delivered major features to enhance sleep state analysis and data workflow, with strong business value for research pipelines and reproducibility. Key features delivered: Sleep State Analysis Toolkit (MATLAB scripts for processing accelerometer data, spectral features (delta, theta, beta bands), EMG from LFP, and sleep state scoring using multiple metrics; includes plotting utilities and data processing pipelines). Sleep Scoring Pipeline Improvements and Data Loading Refactor (consolidated data loading and analysis steps; integrated NREM/REM/Moving scoring using broadband slow-wave activity, theta, and EMG data; improved thresholding and visualization of clustering results). Sleep Analysis Toolkit Documentation and Usage Guide (GetData.m, getmetrics_V2.m, Correlation_bz_manual.m; preprocessing steps). Business value: streamlined, reproducible sleep analysis workflows; improved classification robustness and faster iteration for research, enabling scalable analysis and better decision support. Technologies/skills demonstrated: MATLAB scripting, data processing pipelines, spectral feature computation, EMG extraction from LFP, thresholding, clustering visualization, documentation writing. Commit references: 7ed3d561c38779638f289b5fcda5b62964245acf; 64e270e683ebf186b74d82ee466160a35f2862f0; 49ca617af9765b810eedf92582973a1463a1d909. No major bugs fixed this month.
December 2024
3 Commits • 3 Features
Dec 1, 2024Month: 2024-12 — AbdelRayan/AutomaticSleepScoring. This month delivered major features to enhance sleep state analysis and data workflow, with strong business value for research pipelines and reproducibility. Key features delivered: Sleep State Analysis Toolkit (MATLAB scripts for processing accelerometer data, spectral features (delta, theta, beta bands), EMG from LFP, and sleep state scoring using multiple metrics; includes plotting utilities and data processing pipelines). Sleep Scoring Pipeline Improvements and Data Loading Refactor (consolidated data loading and analysis steps; integrated NREM/REM/Moving scoring using broadband slow-wave activity, theta, and EMG data; improved thresholding and visualization of clustering results). Sleep Analysis Toolkit Documentation and Usage Guide (GetData.m, getmetrics_V2.m, Correlation_bz_manual.m; preprocessing steps). Business value: streamlined, reproducible sleep analysis workflows; improved classification robustness and faster iteration for research, enabling scalable analysis and better decision support. Technologies/skills demonstrated: MATLAB scripting, data processing pipelines, spectral feature computation, EMG extraction from LFP, thresholding, clustering visualization, documentation writing. Commit references: 7ed3d561c38779638f289b5fcda5b62964245acf; 64e270e683ebf186b74d82ee466160a35f2862f0; 49ca617af9765b810eedf92582973a1463a1d909. No major bugs fixed this month.
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture84.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Data AnalysisMATLABMATLAB ScriptingMachine LearningNeuroscience Data AnalysisSignal ProcessingSleep Stage Scoring
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
EPF-MDE/git-first-steps
Feb 2025 – Feb 2025
1 Month active
Languages Used
No languages
Technical Skills
No skills