Peng Chung-Kang, Cui Xingran, Zhang Zhengbo, Yu Mengsun
School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, P. R. China.
Center for Nonlinear Dynamics in Medicine, Southeast University, Nanjing 210096, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Dec 25;40(6):1045-1052. doi: 10.7507/1001-5515.202303043.
This review article aims to explore the major challenges that the healthcare system is currently facing and propose a new paradigm shift that harnesses the potential of wearable devices and novel theoretical frameworks on health and disease. Lifestyle-induced diseases currently account for a significant portion of all healthcare spending, with this proportion projected to increase with population aging. Wearable devices have emerged as a key technology for implementing large-scale healthcare systems focused on disease prevention and management. Advancements in miniaturized sensors, system integration, the Internet of Things, artificial intelligence, 5G, and other technologies have enabled wearable devices to perform high-quality measurements comparable to medical devices. Through various physical, chemical, and biological sensors, wearable devices can continuously monitor physiological status information in a non-invasive or minimally invasive way, including electrocardiography, electroencephalography, respiration, blood oxygen, blood pressure, blood glucose, activity, and more. Furthermore, by combining concepts and methods from complex systems and nonlinear dynamics, we developed a novel theory of continuous dynamic physiological signal analysis-dynamical complexity. The results of dynamic signal analyses can provide crucial information for disease prevention, diagnosis, treatment, and management. Wearable devices can also serve as an important bridge connecting doctors and patients by tracking, storing, and sharing patient data with medical institutions, enabling remote or real-time health assessments of patients, and providing a basis for precision medicine and personalized treatment. Wearable devices have a promising future in the healthcare field and will be an important driving force for the transformation of the healthcare system, while also improving the health experience for individuals.
这篇综述文章旨在探讨医疗保健系统当前面临的主要挑战,并提出一种新的范式转变,利用可穿戴设备的潜力以及关于健康和疾病的新颖理论框架。生活方式导致的疾病目前在所有医疗保健支出中占很大一部分,预计随着人口老龄化这一比例还会增加。可穿戴设备已成为实施专注于疾病预防和管理的大规模医疗保健系统的关键技术。小型化传感器、系统集成、物联网、人工智能、5G 等技术的进步使可穿戴设备能够进行与医疗设备相当的高质量测量。通过各种物理、化学和生物传感器,可穿戴设备能够以非侵入性或微创方式持续监测生理状态信息,包括心电图、脑电图、呼吸、血氧、血压、血糖、活动等。此外,通过结合复杂系统和非线性动力学的概念与方法,我们开发了一种连续动态生理信号分析的新理论——动态复杂性。动态信号分析的结果可为疾病预防、诊断、治疗和管理提供关键信息。可穿戴设备还可通过跟踪、存储并与医疗机构共享患者数据,成为连接医生和患者的重要桥梁,实现对患者的远程或实时健康评估,并为精准医学和个性化治疗提供依据。可穿戴设备在医疗保健领域有着广阔的前景,将成为医疗保健系统变革的重要驱动力,同时也能提升个人的健康体验。