Steinman Joe, Barszczyk Andrew, Sun Hong-Shuo, Lee Kang, Feng Zhong-Ping
Department of Physiology, University of Toronto, Toronto, ON, Canada.
Dr. Eric Jackman Institute of Child Study, University of Toronto, Toronto, ON, Canada.
Front Digit Health. 2021 Nov 12;3:770096. doi: 10.3389/fdgth.2021.770096. eCollection 2021.
Regular blood pressure (BP) monitoring enables earlier detection of hypertension and reduces cardiovascular disease. Cuff-based BP measurements require equipment that is inconvenient for some individuals and deters regular home-based monitoring. Since smartphones contain sensors such as video cameras that detect arterial pulsations, they could also be used to assess cardiovascular health. Researchers have developed a variety of image processing and machine learning techniques for predicting BP smartphone or video camera. This review highlights research behind smartphone and video camera methods for measuring BP. These methods may in future be used at home or in clinics, but must be tested over a larger range of BP and lighting conditions. The review concludes with a discussion of the advantages of the various techniques, their potential clinical applications, and future directions and challenges. Video cameras may potentially measure multiple cardiovascular metrics including and beyond BP, reducing the risk of cardiovascular disease.
定期监测血压(BP)能够更早地发现高血压并降低心血管疾病风险。基于袖带的血压测量需要使用设备,这对一些人来说不方便,从而阻碍了在家中进行定期监测。由于智能手机配备了如摄像头等能够检测动脉搏动的传感器,它们也可用于评估心血管健康状况。研究人员已经开发出了多种图像处理和机器学习技术,用于通过智能手机或摄像头预测血压。本综述重点介绍了利用智能手机和摄像头测量血压方法背后的研究。这些方法未来可能会在家中或诊所使用,但必须在更广泛的血压范围和光照条件下进行测试。综述最后讨论了各种技术的优势、它们潜在的临床应用以及未来的方向和挑战。摄像头有可能测量包括血压及其他指标在内的多个心血管指标,从而降低心血管疾病风险。