HemoSense
A non-invasive biomedical device for early PPH detection utilizing capacitive sensing and custom machine learning. Features real-time blood volume estimation, local alarms, and IoT telemetry optimized for FDA/CE regulatory pathways.
I am a Biomedical Engineering undergraduate at the Department of Electronics and Telecommunication Engineering, University of Moratuwa, Sri Lanka.
I am focusing on bridging the gap between physiological signal processing and robust hardware realization. My expertise lies in developing embedded solutions that combine machine learning with hands-on fabrication, including custom PCB design and 3D modeling, to create high-accuracy biomedical and assistive devices.
Interest Areas: Biomedical Device Design and Manufacturing, Printed Circuit Board (PCB) Design, Microcontroller Programming, Machine Learning, Deep Learning, Embedded Machine Learning and Human-Computer Interaction.
