Suppr超能文献

基于物联网和可穿戴技术的智能监测系统的研发及其临床应用模式探索

[Development of intelligent monitoring system based on Internet of Things and wearable technology and exploration of its clinical application mode].

作者信息

Li Lixuan, Liang Hong, Fan Yong, Yan Wei, Yan Muyang, Cao Desen, Zhang Zhengbo

机构信息

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.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Dec 25;40(6):1053-1061. doi: 10.7507/1001-5515.202211047.

Abstract

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.

摘要

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。

相似文献

1
[Development of intelligent monitoring system based on Internet of Things and wearable technology and exploration of its clinical application mode].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Dec 25;40(6):1053-1061. doi: 10.7507/1001-5515.202211047.
2
Internet of things-based smart wearable system to monitor sports person health.
Technol Health Care. 2021;29(6):1249-1262. doi: 10.3233/THC-213004.
3
[Investigation on new paradigm of clinical physiological monitoring by using wearable devices].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Aug 25;38(4):753-763. doi: 10.7507/1001-5515.202010021.
4
[Artificial intelligence in wearable electrocardiogram monitoring].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Dec 25;40(6):1084-1092. doi: 10.7507/1001-5515.202301032.
5
[Application of Internet of Things Technology in Isolation Ward].
Zhongguo Yi Liao Qi Xie Za Zhi. 2021 Jun 8;45(3):266-270. doi: 10.3969/j.issn.1671-7104.2021.03.007.
8
Swarm Intelligence in Internet of Medical Things: A Review.
Sensors (Basel). 2023 Jan 28;23(3):1466. doi: 10.3390/s23031466.
9
Design and Implementation of Intelligent Monitoring System for Head and Neck Surgery Care Based on Internet of Things (IoT).
J Healthc Eng. 2022 Feb 23;2022:4822747. doi: 10.1155/2022/4822747. eCollection 2022.
10
Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health.
Comput Intell Neurosci. 2022 Jun 21;2022:5678736. doi: 10.1155/2022/5678736. eCollection 2022.

本文引用的文献

1
End-to-end design of wearable sensors.
Nat Rev Mater. 2022;7(11):887-907. doi: 10.1038/s41578-022-00460-x. Epub 2022 Jul 22.
2
Predicting Adverse Events During Six-Minute Walk Test Using Continuous Physiological Signals.
Front Physiol. 2022 Jun 6;13:887954. doi: 10.3389/fphys.2022.887954. eCollection 2022.
3
[Investigation on new paradigm of clinical physiological monitoring by using wearable devices].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Aug 25;38(4):753-763. doi: 10.7507/1001-5515.202010021.
7
Cardiac Rehabilitation for Patients With Heart Failure: JACC Expert Panel.
J Am Coll Cardiol. 2021 Mar 23;77(11):1454-1469. doi: 10.1016/j.jacc.2021.01.030.
8
Smart wearable devices in cardiovascular care: where we are and how to move forward.
Nat Rev Cardiol. 2021 Aug;18(8):581-599. doi: 10.1038/s41569-021-00522-7. Epub 2021 Mar 4.
9
Effects of diaphragmatic deep breathing exercises on prehypertensive or hypertensive adults: A literature review.
Complement Ther Clin Pract. 2021 May;43:101315. doi: 10.1016/j.ctcp.2021.101315. Epub 2021 Jan 26.
10
Pre-symptomatic detection of COVID-19 from smartwatch data.
Nat Biomed Eng. 2020 Dec;4(12):1208-1220. doi: 10.1038/s41551-020-00640-6. Epub 2020 Nov 18.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验