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.
本文旨在探讨当今医疗系统所面临的主要挑战，提出了一种新的医疗范式，即充分发掘可穿戴设备的潜能并和新的健康与疾病的理论体系相结合。当前生活形态相关的各类疾病已成为主要医疗支出，并随人口老龄化不断增加。可穿戴设备正逐渐成为以疾病预防和管理为重点的大规模医疗健康系统的关键技术。微型传感器、系统集成、物联网、人工智能、5G等技术的进步使得可穿戴设备能够实现与医疗设备相当的高质量检测。通过各种物理、化学和生物传感器，可穿戴设备以无创或微创的方式持续监测体征信号，包括心电图、脑电图、呼吸、血氧、血压、血糖、活动等。通过融合复杂系统观念和非线性动力学方法，我们发展出一套崭新的连续动态生理信号分析理论——动态生物复杂度，动态信号分析的结果可以为疾病预防、诊断、治疗和管理提供重要信息。此外，可穿戴设备还可以作为连接医生和患者的重要桥梁，通过跟踪、存储患者数据，并与医疗机构共享患者数据，实现对患者的远程或实时健康评估，为精准医疗和个性化治疗提供技术支持。可穿戴设备在医疗领域有着广泛的前景，将成为医疗系统转型的重要推动力。同时，也将推动我们对于健康和疾病的认识和理解更为深入和全面，带来革命性的医疗变革。.
Keywords: Dynamical complexity; Medical and health care; Wearable devices.