Eeg Sleep Monitor
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Catalog Information
The EEG Sleep Monitor project provides real-time EEG monitoring and Modulatory Oscillation (MO) detection for sleep analysis, supporting both EDF file upload and Raspberry Pi live streaming.
Description
This project is an EEG sleep monitor that uses OpenBCI Cyton boards to detect MOs in real-time. It supports two data paths: batch processing via EDF file upload and edge compute over WebSocket using a Raspberry Pi. The system runs MO detection on 5-minute algorithm windows, storing results as time-series feature records and displaying them on a multi-page physician dashboard.
الوصف
هذا المشروع هو مراقب نوم EEG يستخدم لوحات OpenBCI Cyton لاكتشاف التأثيرات المودولاتورية (MO) في الوقت الفعلي. يدعم مشروعنا طريقتين للبيانات: معالجة البATCH عبر تحميل ملفات EDF و حسابات الحواسيب على WebSocket باستخدام Raspberry Pi. يعمل النظام على اكتشاف MO خلال فترات التمرين الخمس دقائق، ويخزن النتائج كملفات زمنية ميزانية ويعرضها على لوحة مراقبة طبية متعددة الصفحات.
Novelty
7/10Tags
Technologies
Claude Models
Quality Score
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
- 523 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Security & Health
Languages
Frameworks
Concepts (2)
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| auto_description | Project Description | Real-time EEG monitoring and Modulatory Oscillation (MO) detection for sleep analysis using OpenBCI Cyton boards. Supports two data paths: EDF file upload (batch processing) and Raspberry Pi live streaming (edge compute over WebSocket). | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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