Literature DB >> 36014147

Cuffless Blood Pressure Monitoring: Academic Insights and Perspectives Analysis.

Shiyun Li1, Can Zhang1, Zhirui Xu1,2, Lihua Liang1, Ye Tian1,2, Long Li1,3, Huaping Wu1,2, Sheng Zhong1.   

Abstract

In recent decades, cuffless blood pressure monitoring technology has been a point of research in the field of health monitoring and public media. Based on the web of science database, this paper evaluated the publications in the field from 1990 to 2020 using bibliometric analysis, described the developments in recent years, and presented future research prospects in the field. Through the comparative analysis of keywords, citations, H-index, journals, research institutions, national authors and reviews, this paper identified research hotspots and future research trends in the field of cuffless blood pressure monitoring. From the results of the bibliometric analysis, innovative methods such as machine learning technologies related to pulse transmit time and pulse wave analysis have been widely applied in blood pressure monitoring. The 2091 articles related to cuffless blood pressure monitoring technology were published in 1131 journals. In the future, improving the accuracy of monitoring to meet the international medical blood pressure standards, and achieving portability and miniaturization will remain the development goals of cuffless blood pressure measurement technology. The application of flexible electronics and machine learning strategy in the field will be two major development directions to guide the practical applications of cuffless blood pressure monitoring technology.

Entities:  

Keywords:  blood pressure monitoring; cuffless; pulse transit time; pulse wave

Year:  2022        PMID: 36014147      PMCID: PMC9415520          DOI: 10.3390/mi13081225

Source DB:  PubMed          Journal:  Micromachines (Basel)        ISSN: 2072-666X            Impact factor:   3.523


  50 in total

1.  Developing IEEE medical device standards: a case study, wearable cuffless blood pressure measuring devices.

Authors:  Carole C Carey; Yuang-Ting Zhang
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  Cuffless Blood Pressure Monitoring from an Array of Wrist Bio-Impedance Sensors Using Subject-Specific Regression Models: Proof of Concept.

Authors:  Bassem Ibrahim; Roozbeh Jafari
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-10-10       Impact factor: 3.833

3.  Clinical usefulness of wave intensity analysis.

Authors:  Motoaki Sugawara; Kiyomi Niki; Nobuyuki Ohte; Takashi Okada; Akimitsu Harada
Journal:  Med Biol Eng Comput       Date:  2008-09-02       Impact factor: 2.602

4.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn; Omer T Inan; Lalit K Mestha; Chang-Sei Kim; Hakan Töreyin; Survi Kyal
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-05       Impact factor: 4.538

5.  Using a new PPG indicator to increase the accuracy of PTT-based continuous cuffless blood pressure estimation.

Authors:  Oluwarotimi Williams Samuel
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2017-07

6.  3D-Printed Capillary Circuits for Calibration-Free Viscosity Measurement of Newtonian and Non-Newtonian Fluids.

Authors:  Sein Oh; Sungyoung Choi
Journal:  Micromachines (Basel)       Date:  2018-06-21       Impact factor: 2.891

7.  Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals.

Authors:  Zeng-Ding Liu; Ji-Kui Liu; Bo Wen; Qing-Yun He; Ye Li; Fen Miao
Journal:  Sensors (Basel)       Date:  2018-12-02       Impact factor: 3.576

8.  Formulas to Explain Popular Oscillometric Blood Pressure Estimation Algorithms.

Authors:  Anand Chandrasekhar; Mohammad Yavarimanesh; Jin-Oh Hahn; Shih-Hsien Sung; Chen-Huan Chen; Hao-Min Cheng; Ramakrishna Mukkamala
Journal:  Front Physiol       Date:  2019-11-21       Impact factor: 4.566

Review 9.  Wearables Meet IoT: Synergistic Personal Area Networks (SPANs).

Authors:  Emil Jovanov
Journal:  Sensors (Basel)       Date:  2019-10-03       Impact factor: 3.576

10.  Analysis of Pulse Arrival Time as an Indicator of Blood Pressure in a Large Surgical Biosignal Database: Recommendations for Developing Ubiquitous Blood Pressure Monitoring Methods.

Authors:  Joonnyong Lee; Seungman Yang; Saram Lee; Hee Chan Kim
Journal:  J Clin Med       Date:  2019-10-24       Impact factor: 4.241

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