Problem
Conventional vital sign monitoring often requires contact sensors, electrodes or wearable devices. These can be uncomfortable, impractical or undesirable in settings where comfort, hygiene, patient movement or continuous monitoring matter.
Aim
The project investigates non-contact respiration-rate and heart-rate estimation using mmWave radar, with a focus on building a reliable single-subject proof-of-concept pipeline under controlled conditions.
Technical approach
The system is based on an Infineon BGT60 radar platform and uses FMCW radar principles to separate the target from surrounding clutter. The processing pipeline focuses on range-bin selection, phase extraction, phase unwrapping, clutter suppression, filtering and validation against reference measurements.
Tools and relevance
The work uses MATLAB and/or Python for signal processing. It is relevant to healthcare monitoring, non-contact sensing, embedded sensing, radar systems, reliable measurement pipelines and phase-based signal analysis.