
Developed core features for AbdelRayan/AutomaticSleepScoring, focusing on MATLAB-based pipelines for neuroscience data analysis and sleep stage scoring. Built a Sleep State Analysis Toolkit that processes accelerometer and LFP data, computes spectral features, extracts EMG, and applies multi-metric sleep state classification with visualization utilities. Refactored the data loading and scoring pipeline to integrate NREM, REM, and movement detection using broadband slow-wave activity, theta, and EMG signals, improving workflow reproducibility and analysis speed. Authored comprehensive documentation to guide users through preprocessing and analysis scripts. Also contributed to EPF-MDE/git-first-steps by implementing persistent git user identity storage and attribution features.
February 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 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).
Month: 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.
Month: 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.

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