20 February 2018 Measuring the arterial-induced skin vibration by geometrical moiré fringe
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Abstract
The demand for self-measured blood pressure self-monitoring device has much increased due to cardiovascular diseases have become leading causes of death for aging population. Currently, the primary non-invasive blood pressure monitoring method is cuff-based. It is well developed and accurate. However, the measuring process is not comfortable, and it cannot provide a continuous measurement. To overcome this problem, methods such as tonometry, volume clamp method, photoplethysmography, pulse wave velocity, and pulse transit time are reported. However, the limited accuracy hindered its application for diagnostics. To perform sequential blood pressure measurement with a high accuracy and long-term examination, we apply moiré interferometry to measure wrist skin vibration induced by radial artery. To achieve this goal, we developed a miniaturized device that can perform moiré interferometry around the wrist region. The 0.4-mm-pitched binary grating and tattoo sticker with 0.46 mm-pitched stripe pattern are used to perform geometric moiré. We demonstrated that the sensitivity and accuracy of this integrated system were sufficient to monitor arterialinduced skin vibration non-invasively. Our developed system was validated with ECG signals collected by a commercial system. According to our studies from measurement, the repeatability of wrist pulsation measurement was achieved with an accuracy of 99.1% in heart rate. A good repeatability of wrist pulse measurement was achieved. Simulations and experiments are both conducted in this paper and prove of geometrical moiré method a suitable technique for arterial-induced skin vibration monitoring.
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Shih-Yung Chiu, Shih-Yung Chiu, Chun-Hsiung Wang, Chun-Hsiung Wang, Shu-Sheng Lee, Shu-Sheng Lee, Wen-Jong Wu, Wen-Jong Wu, Yu-Hsiang Hsu, Yu-Hsiang Hsu, Chih-Kung Lee, Chih-Kung Lee, } "Measuring the arterial-induced skin vibration by geometrical moiré fringe", Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 105010H (20 February 2018); doi: 10.1117/12.2286903; https://doi.org/10.1117/12.2286903
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