利用前额和手掌红外视频进行非接触式血压估测

Thomas Stogiannopoulos, N. Mitianoudis
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引用次数: 0

摘要

本研究探讨了低成本红外热像仪用于非接触式监测健康状况脆弱者(尤其是老年人)血压(BP)的潜力。先前的研究表明,使用 RGB 摄像机开发非接触式血压监测技术取得了成功。在本研究中,采用了欧拉视频放大(EVM)技术来增强红外相机从前额和手掌捕捉到的特定面部区域皮肤像素强度的微小变化。本研究的主要重点是探索在弱光或夜间条件下使用红外相机进行非接触式血压监测的可能性。我们已经成功地证明,通过采用一系列直接的信号处理技术和回归分析,我们能够在实验装置中取得值得称道的结果。具体来说,我们能够超越英国高血压学会(BHS)和美国医学仪器促进协会(AAMI)规定的严格准确度标准。
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Non-Contact Blood Pressure Estimation Using Forehead and Palm Infrared Video
This study investigates the potential of low-cost infrared cameras for non-contact monitoring of blood pressure (BP) in individuals with fragile health, particularly the elderly. Previous research has shown success in developing non-contact BP monitoring using RGB cameras. In this study, the Eulerian Video Magnification (EVM) technique is employed to enhance minor variations in skin pixel intensity in specific facial regions captured by an infrared camera from the forehead and palm. The primary focus of this study is to explore the possibility of using infrared cameras for non-contact BP monitoring under low-light or night-time conditions. We have successfully shown that by employing a series of straightforward signal processing techniques and regression analysis, we were able to achieve commendable outcomes in our experimental setup. Specifically, we were able to surpass the stringent accuracy standards set forth by the British Hypertension Society (BHS) and the Association for the Advancement of Medical Instrumentation (AAMI) protocol.
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