Li Lixuan, Liang Hong, Fan Yong, Yan Wei, Yan Muyang, Cao Desen, Zhang Zhengbo
Center for Artificial Intelligence in Medicine, Medical Innovation Research Department, Chinese PLA General Hospital, Beijing 100853, P. R. China.
Department of Hyperbaric Oxygen, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Dec 25;40(6):1053-1061. doi: 10.7507/1001-5515.202211047.
Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients' cardiopulmonary function, and management of patients outside hospital.
可穿戴监测具有长时间连续监测且生理和心理负荷低的优点,代表了监测技术的未来发展方向。基于可穿戴生理监测技术,结合物联网(IoT)和人工智能技术,本文开发了一种智能监测系统,包括可穿戴硬件、病房物联网平台、连续生理数据分析算法和软件。我们通过大量临床实践探索了该系统连续生理数据的临床价值。并给出了四个价值点,即实时监测、疾病评估、预测预警和康复训练。依托真实临床环境,我们探索了可穿戴技术在普通病房监测、心肺康复以及院内院外一体化监测中的应用模式。研究结果表明,该监测系统可有效用于住院患者监测、患者心肺功能评估与训练以及院外患者管理。