Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Korea.
BK21 FOUR 'New-Senior' Oriented Smart Health Care Education, Pukyong National University, Busan 48513, Korea.
Biosensors (Basel). 2022 Feb 22;12(3):139. doi: 10.3390/bios12030139.
Monitoring the vital signs and physiological responses of the human body in daily activities is particularly useful for the early diagnosis and prevention of cardiovascular diseases. Here, we proposed a wireless and flexible biosensor patch for continuous and longitudinal monitoring of different physiological signals, including body temperature, blood pressure (BP), and electrocardiography. Moreover, these modalities for tracking body movement and GPS locations for emergency rescue have been included in biosensor devices. We optimized the flexible patch design with high mechanical stretchability and compatibility that can provide reliable and long-term attachment to the curved skin surface. Regarding smart healthcare applications, this research presents an Internet of Things-connected healthcare platform consisting of a smartphone application, website service, database server, and mobile gateway. The IoT platform has the potential to reduce the demand for medical resources and enhance the quality of healthcare services. To further address the advances in non-invasive continuous BP monitoring, an optimized deep learning architecture with one-channel electrocardiogram signals is introduced. The performance of the BP estimation model was verified using an independent dataset; this experimental result satisfied the Association for the Advancement of Medical Instrumentation, and the British Hypertension Society standards for BP monitoring devices. The experimental results demonstrated the practical application of the wireless and flexible biosensor patch for continuous physiological signal monitoring with Internet of Medical Things-connected healthcare applications.
在日常活动中监测人体的生命体征和生理反应对于心血管疾病的早期诊断和预防尤为有用。在这里,我们提出了一种无线和灵活的生物传感器贴片,用于连续和纵向监测不同的生理信号,包括体温、血压 (BP) 和心电图。此外,这些用于跟踪身体运动和 GPS 位置以进行紧急救援的模式已包含在生物传感器设备中。我们优化了具有高机械拉伸性和兼容性的灵活贴片设计,可提供可靠且长期的贴合在曲面上的皮肤。对于智能医疗保健应用,本研究提出了一个由智能手机应用程序、网站服务、数据库服务器和移动网关组成的物联网连接的医疗保健平台。物联网平台有可能减少对医疗资源的需求并提高医疗服务质量。为了进一步解决非侵入性连续 BP 监测的进展,引入了一种具有单通道心电图信号的优化深度学习架构。使用独立数据集验证了 BP 估计模型的性能;该实验结果满足了医疗仪器协会和英国高血压学会的 BP 监测设备标准。实验结果证明了无线和灵活的生物传感器贴片在具有物联网连接的医疗保健应用的连续生理信号监测方面的实际应用。