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Tytuł:
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[Investigation on new paradigm of clinical physiological monitoring by using wearable devices].
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Autorzy:
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Wang Z; Medical School of Chinese PLA, Beijing 100853, P.R.China.
Liang H; Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing 100853, P.R.China.
Wang J; Medical School of Chinese PLA, Beijing 100853, P.R.China.
Zang Y; School of kinesiology, Shanghai University of Sport, Shanghai 200438, P.R.China.
Xu H; Medical School of Chinese PLA, Beijing 100853, P.R.China.
Lan K; Beijing SensEcho Science & Technology Co., Ltd., Beijing 100853, P.R.China.
He M; Beijing SensEcho Science & Technology Co., Ltd., Beijing 100853, P.R.China.
Yan W; Department of Hyperbaric Oxygen, Chinese PLA General Hospital, Beijing 100853, P.R.China.
Cao D; Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing 100853, P.R.China.
Yan M; Department of Hyperbaric Oxygen, Chinese PLA General Hospital, Beijing 100853, P.R.China.
Zhang Z; Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing 100853, P.R.China.
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Źródło:
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Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi [Sheng Wu Yi Xue Gong Cheng Xue Za Zhi] 2021 Aug 25; Vol. 38 (4), pp. 753-763.
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Typ publikacji:
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Journal Article
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Język:
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Chinese
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Imprint Name(s):
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Publication: Chengdu : Sichuan Sheng sheng wu yi xue gong cheng xue hui
Original Publication: Chengdu : Sichuan Sheng sheng wu yi xue gong cheng xue hui : Hua xi yi ke da xue : Chengdu ke ji da xue,
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MeSH Terms:
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Sleep Apnea Syndromes*
Wearable Electronic Devices*
Heart Rate ; Humans ; Monitoring, Physiologic ; Movement
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References:
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Per Med. 2018 Sep;15(5):429-448. (PMID: 30259801)
Lung. 1990;168 Suppl:948-54. (PMID: 2143553)
J Am Coll Cardiol. 1996 Nov 15;28(6):1539-46. (PMID: 8917269)
Phys Rev Lett. 2002 Aug 5;89(6):068102. (PMID: 12190613)
Eur J Intern Med. 2020 Dec;82:76-82. (PMID: 32843290)
Sleep. 2009 Feb;32(2):150-7. (PMID: 19238801)
Chest. 1990 Dec;98(6):1388-92. (PMID: 2245680)
Crit Care Med. 1994 Jun;22(6):981-5. (PMID: 8205831)
IEEE J Biomed Health Inform. 2018 Jul;22(4):1046-1058. (PMID: 28991754)
Crit Care. 2014 Oct 24;18(5):548. (PMID: 25341381)
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Contributed Indexing:
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Keywords: clinical application research; physiological parameter analysis; real-time monitoring; wearable devices
Local Abstract: [Publisher, Chinese] 可穿戴作为一种低负荷生理监测技术,可为慢病的监测、评估和管理提供新的技术手段,是未来监护技术的一个发展方向,但作为一种新型监护技术,其临床应用模式和价值尚需深入探索。本研究在解放军总医院普通病房(非重症监护病房)搭建了基于可穿戴设备的病区中央监护系统,分析了穿戴式生理监护技术临床应用价值点,将其与诊疗流程相结合并应用于临床监护。系统能够有效采集心电、呼吸、血氧、脉搏、体位/体动等数据,实现实时监护、预测预警和病情评估等功能。自 2018 年 3 月—2020 年 1 月共进行了 1 268 人次(657 例患者)的连续穿戴式生理监护,通过信号质量算法和人工判读对信号进行筛查,1 198 人次(632 例)数据可用于分析,占总数的 94.48%(96.19%)。通过连续生理数据分析和人工校正,632 例患者中检测出睡眠呼吸事件、夜间低血氧症、心动过速、室性早搏等各类患者 232(36.65%)、58(9.16%)、30(4.74%)、42(6.64%)例,而在病案中,这些异常事件记录的人数分别为 4(0.63%)、0(0.00%)、24(3.80%)、15(2.37%)例,从睡眠呼吸事件结果统计分析中发现,与健康人群相比,慢病患者更容易发生睡眠呼吸事件,且男性发生率(62.93%)高于女性(37.07%)。研究表明,穿戴式生理监测技术能够为住院患者提供一种新型监护模式,通过可穿戴设备的连续生理监测与分析能够捕捉到更多异常事件,为临床诊疗提供更加丰富的决策支持信息,并且这种新型监护模式能够有效融入现有医疗流程。后续可进一步探索新型监护模式在不同临床应用场景中的适用性,丰富可穿戴技术临床应用价值点,为慢病的监测、评估和管理提供更加丰富的工具和手段。.
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Entry Date(s):
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Date Created: 20210830 Date Completed: 20210831 Latest Revision: 20230701
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Update Code:
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20240105
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PubMed Central ID:
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PMC9927528
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DOI:
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10.7507/1001-5515.202010021
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PMID:
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34459176
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As a low-load physiological monitoring technology, wearable devices can provide new methods for monitoring, evaluating and managing chronic diseases, which is a direction for the future development of monitoring technology. However, as a new type of monitoring technology, its clinical application mode and value are still unclear and need to be further explored. In this study, a central monitoring system based on wearable devices was built in the general ward (non-ICU ward) of PLA General Hospital, the value points of clinical application of wearable physiological monitoring technology were analyzed, and the system was combined with the treatment process and applied to clinical monitoring. The system is able to effectively collect data such as electrocardiogram, respiration, blood oxygen, pulse rate, and body position/movement to achieve real-time monitoring, prediction and early warning, and condition assessment. And since its operation from March 2018, 1 268 people (657 patients) have undergone wearable continuous physiological monitoring until January 2020, with data from a total of 1 198 people (632 cases) screened for signals through signal quality algorithms and manual interpretation were available for analysis, accounting for 94.48 % (96.19%) of the total. Through continuous physiological data analysis and manual correction, sleep apnea event, nocturnal hypoxemia, tachycardia, and ventricular premature beats were detected in 232 (36.65%), 58 (9.16%), 30 (4.74%), and 42 (6.64%) of the total patients, while the number of these abnormal events recorded in the archives was 4 (0.63%), 0 (0.00%), 24 (3.80%), and 15 (2.37%) cases. The statistical analysis of sleep apnea event outcomes revealed that patients with chronic diseases were more likely to have sleep apnea events than healthy individuals, and the incidence was higher in men (62.93%) than in women (37.07%). The results indicate that wearable physiological monitoring technology can provide a new monitoring mode for inpatients, capturing more abnormal events and provide richer information for clinical diagnosis and treatment through continuous physiological parameter analysis, and can be effectively integrated into existing medical processes. We will continue to explore the applicability of this new monitoring mode in different clinical scenarios to further enrich the clinical application of wearable technology and provide richer tools and methods for the monitoring, evaluation and management of chronic diseases.