Andrei B.

A full-stack wearable system in collaboration with the Drexel Wireless Systems Lab for continuous, ambulatory cardiorespiratory monitoring. The project integrates signal acquisition, edge processing, and machine learning inference for real-time health monitoring outside clinical settings, and includes the IoT Sensor Framework (a HIPAA-compliant platform for collecting data from IoT-based sensors including knitted smart textiles) and the IoT Processing Framework (real-time and offline signal processing and machine learning on sensor data), both developed with the Drexel Wireless Systems Lab. Related student work includes multi-semester research in RF-based biomedical signal acquisition and analysis using wearable IoT devices (conducted across CS391 and CS394), independent study in multi-sensor data fusion techniques for wearable and IoT applications (conducted in CS392), and a machine learning pipeline for minute-level and subject-level sleep apnea detection using ECG signals (presented at Ursinus CoSA 2026 by Andrei Bogdan). We became involved in this research in 2013.

Andrei Bogdan, William M. Mongan · Ursinus Celebration of Student Achievement (CoSA)