Thin, soft, wearable system for continuous wireless monitoring of artery blood pressure
Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering th...
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Published in | Nature communications Vol. 14; no. 1; pp. 5009 - 12 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
17.08.2023
Nature Publishing Group Nature Portfolio |
Subjects | |
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Abstract | Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development.
Continuous monitoring of arterial blood pressure is limited by bulky connecting systems and poor interfacial contact. Here, Li et al. report a wearable thin, soft, miniaturized system that integrates sensing, active pressure adaptation, and signal processing for improved performance and accuracy. |
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AbstractList | Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development.Continuous monitoring of arterial blood pressure is limited by bulky connecting systems and poor interfacial contact. Here, Li et al. report a wearable thin, soft, miniaturized system that integrates sensing, active pressure adaptation, and signal processing for improved performance and accuracy. Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development. Continuous monitoring of arterial blood pressure is limited by bulky connecting systems and poor interfacial contact. Here, Li et al. report a wearable thin, soft, miniaturized system that integrates sensing, active pressure adaptation, and signal processing for improved performance and accuracy. Abstract Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development. Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development.Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development. Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development. |
ArticleNumber | 5009 |
Author | Zhao, Guangyao Yu, Xinge Yiu, Chun Ki Xu, Zitong Gao, Zhan Tai, Xuecheng Hu, Yue Li, Dengfeng Li, Jiyu Zhang, Binbin Liu, Yiming Zhou, Jingkun Ma, Xiaohui Li, Jian Wu, Mengge Chan, Raymond H. Zhang, Yuanting Gao, Yuyu Zhang, Qiang Yao, Kuanming Jiao, Yanli Xu, Long Huang, Ya Jia, Huiling Jia, Shengxin Huang, Xingcan |
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Kong – sequence: 16 givenname: Jiyu surname: Li fullname: Li, Jiyu organization: Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE) – sequence: 17 givenname: Chun Ki surname: Yiu fullname: Yiu, Chun Ki organization: Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE) – sequence: 18 givenname: Yuyu surname: Gao fullname: Gao, Yuyu organization: Department of Biomedical Engineering, City University of Hong Kong – sequence: 19 givenname: Mengge orcidid: 0000-0002-8116-5717 surname: Wu fullname: Wu, Mengge organization: Department of Biomedical Engineering, City University of Hong Kong, State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC) – sequence: 20 givenname: Yanli orcidid: 0000-0002-4786-9577 surname: Jiao fullname: Jiao, Yanli organization: Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE) – sequence: 21 givenname: Qiang surname: Zhang fullname: Zhang, Qiang organization: Department of Biomedical Engineering, City University of Hong Kong – sequence: 22 givenname: Xuecheng orcidid: 0000-0003-3359-9104 surname: Tai fullname: Tai, Xuecheng organization: Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Department of Mathematics, Hong Kong Baptist University – sequence: 23 givenname: Raymond H. surname: Chan fullname: Chan, Raymond H. organization: Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE) – sequence: 24 givenname: Yuanting orcidid: 0000-0003-4150-5470 surname: Zhang fullname: Zhang, Yuanting organization: Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE) – sequence: 25 givenname: Xiaohui surname: Ma fullname: Ma, Xiaohui email: maxiaohui@301hospital.com.cn organization: Department of vascular and endovascular surgery, The first medical center of Chinese PLA General Hospital – sequence: 26 givenname: Xinge orcidid: 0000-0003-0522-1171 surname: Yu fullname: Yu, Xinge email: xingeyu@cityu.edu.hk organization: Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), City University of Hong Kong Shenzhen Research Institute |
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Title | Thin, soft, wearable system for continuous wireless monitoring of artery blood pressure |
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