ApneaGuard AI — Sleep Apnea Detection System

Q: Who conducted this research project?

Supervised by Dr. Junaid Akram at COMSATS University Islamabad, Lahore Campus with student researchers SP25CS03 Student Group.

Q: What technologies and frameworks were utilized?

Python, Librosa, Signal Processing, React Native

Dr. Junaid Akram; SP25CS03 Student Group

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Fall 2025·Dr. Junaid Akram

Supervised Student Project

CompletedFall 2025BS Computer Science

ApneaGuard AI — Sleep Apnea Detection System

Completed biomedical signal processing system utilizing audio sensor processing and machine learning to detect nocturnal sleep apnea events in real time.

Biomedical Signal ProcessingAcoustic ClassificationReal-Time Monitoring

Students

SP25CS03 Student GroupSP25CS03

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Biomedical AI ResearchCOMSATS University Islamabad, Lahore Campus

Implementation evidence & interfaces

Interactive Visual Showcase

Use slideshow controls, arrows, or thumbnails to explore architecture and UI layers.

Slide 1 of 1ApneaGuard AI Nocturnal Sleep Monitoring System Poster

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