Non-invasive Diagnostic. Painless Continuous Health Monitoring

      Аннотация: The pathological condition of the human body can be diagnosed or determined noninvasively by analyzing the biological signal generated from the di?erent physiological process in the human body. During the process of diagnosis appropriate sensors, suitable signal and image processing techniques are indispensable to predict, measure & monitor any anomaly of the human body noninvasively from the unobserved pathological signature. Efficient computational tools are essential to examine, enhance, and analyze the signals & images from the human body and are necessary to extract clinically useful information from the huge pathological raw data. Similarly, a photoacoustic-based noninvasive technique is used to predict the blood glucose reading. To make the device more accurate both the invasive & noninvasive techniques are used to collect huge data. Signal and image processing techniques now allow us to predict blood glucose reading from non-invasive measurements reliably.

Ключевые слова: Diabetes, photoacoustics, Pulsed Photoacoustic Spectroscopy, co- herent averaging, continuous non-invasive blood glucose monitor, embedded sys- tem, photoacoustic signal, SNR, impulse noise, Image Denoising, Image quality, PSNR, field programmable gate array.