Literature DB >> 28783442

A Literature Review on Current and Proposed Technologies of Noninvasive Blood Pressure Measurement.

Ramtanu Mukherjee1, Sanchita Ghosh1, Bharat Gupta2, Tapas Chakravarty3.   

Abstract

BACKGROUND: Noninvasive continuous blood pressure (BP) measurement has become an evolving topic in the field of remote healthcare. The classical noninvasive BP measurement techniques provide spontaneous values of systolic and diastolic BP. On the other hand, intrusive type BP measurement techniques provide continuous values of systolic and diastolic BP. However, these techniques are very painful, cannot be used for long-term monitoring, and are obtainable only in an intensive care unit environment. With the advancement of the remote healthcare industry, there is a growing demand for noninvasive continuous BP monitoring.
OBJECTIVE: The objective of this research was to present a compact literature review on the various prospective approaches of noninvasive continuous BP measurement techniques. MATERIALS &
METHODS: The most contemporary and advanced technologies on noninvasive continuous BP measurement are Tactile Sensing, Vascular Unloading Technique, Pulse Transit Time, Photoplethysmography, Ultrasound-based BP measurement, BP measurement from image processing, etc. The literature search based on these technologies was conducted in EMBASE, Web of Science, IEEE, PubMed, and Ovid MEDLINE databases. In this study, each selected approach was evaluated and characterized using the following criteria: (1) accuracy; (2) cost; (3) portability; (4) comfort and convenience of use; (5) clinical health and safety; and (6) ability to integrate with the remote healthcare system.
RESULTS: A detailed technical analysis was done to determine the advantages and limitations of each technique in the context of the abovementioned parameters. It was observed that BP measurement, using photoplethysmography (using camera or sensor or both), perhaps was the most promising technique among all.
CONCLUSION: The study emphasized the fact that the noninvasive, continuous BP measurement technique needs to evolve further to make it reliable, accurate, and user-friendly. Lastly, a possible direction toward a more reliable and comfortable noninvasive continuous BP measurement technique has been discussed.

Keywords:  PPG; PTT; blood pressure monitoring; continuous noninvasive measurement; telemedicine; ultrasound

Mesh:

Year:  2017        PMID: 28783442     DOI: 10.1089/tmj.2017.0068

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  6 in total

1.  Beat-to-beat blood pressure measurement using a cuffless device does not accurately reflect invasive blood pressure.

Authors:  Mohammed A Moharram; Luke C Wilson; Michael Ja Williams; Sean Coffey
Journal:  Int J Cardiol Hypertens       Date:  2020-04-14

2.  Bio-Impedance Sensor for Real-Time Artery Diameter Waveform Assessment.

Authors:  Mugeb Al-Harosh; Marat Yangirov; Dmitry Kolesnikov; Sergey Shchukin
Journal:  Sensors (Basel)       Date:  2021-12-17       Impact factor: 3.576

3.  A Computational Modeling and Simulation Workflow to Investigate the Impact of Patient-Specific and Device Factors on Hemodynamic Measurements from Non-Invasive Photoplethysmography.

Authors:  Jesse Fine; Michael J McShane; Gerard L Coté; Christopher G Scully
Journal:  Biosensors (Basel)       Date:  2022-08-04

4.  Intra-beat biomarker for accurate continuous non-invasive blood pressure monitoring.

Authors:  Arash Abiri; En-Fan Chou; Chengyang Qian; Joseph Rinehart; Michelle Khine
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

5.  Supervisory Algorithm for Autonomous Hemodynamic Management Systems.

Authors:  Eric J Snider; Saul J Vega; Evan Ross; David Berard; Sofia I Hernandez-Torres; Jose Salinas; Emily N Boice
Journal:  Sensors (Basel)       Date:  2022-01-11       Impact factor: 3.576

6.  A Data-Driven Model with Feedback Calibration Embedded Blood Pressure Estimator Using Reflective Photoplethysmography.

Authors:  Jia-Wei Chen; Hsin-Kai Huang; Yu-Ting Fang; Yen-Ting Lin; Shih-Zhang Li; Bo-Wei Chen; Yu-Chun Lo; Po-Chuan Chen; Ching-Fu Wang; You-Yin Chen
Journal:  Sensors (Basel)       Date:  2022-02-27       Impact factor: 3.576

  6 in total

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