Processing of Detected Non-contact Vital Sign Signals with Denoising Unwanted Variations

Accurately monitoring physiological parameters through non-contact vital sign signals requires effective signal processing techniques. This paper focuses on utilizing a 10 GHz Doppler radar antenna with two antennas positioned at a distance of 1.5 m from individuals. Techniques like FFT, adaptive filters, CWT, DWT, and ICA are employed to address signal variations. The methodology aims to extract vital sign information, specifically heart rate and respiration rate while separating interference. For better health monitoring, accurate measurement is required and is possible with the advanced techniques for noise removal technique called denoising techniques. The proposed techniques were discussed and validated for the accurate measurement of non-contact vital sign monitoring and separating these heart and respiration signal from noise. Wavelet-based techniques and ICA have been used for the estimation and separation of the desired signal.