Literature DB >> 25694235

A survey on signals and systems in ambulatory blood pressure monitoring using pulse transit time.

Dilpreet Buxi1, Jean-Michel Redouté, Mehmet Rasit Yuce.   

Abstract

Blood pressure monitoring based on pulse transit or arrival time has been the focus of much research in order to design ambulatory blood pressure monitors. The accuracy of these monitors is limited by several challenges, such as acquisition and processing of physiological signals as well as changes in vascular tone and the pre-ejection period. In this work, a literature survey covering recent developments is presented in order to identify gaps in the literature. The findings of the literature are classified according to three aspects. These are the calibration of pulse transit/arrival times to blood pressure, acquisition and processing of physiological signals and finally, the design of fully integrated blood pressure measurement systems. Alternative technologies as well as locations for the measurement of the pulse wave signal should be investigated in order to improve the accuracy during calibration. Furthermore, the integration and validation of monitoring systems needs to be improved in current ambulatory blood pressure monitors.

Mesh:

Year:  2015        PMID: 25694235     DOI: 10.1088/0967-3334/36/3/R1

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  18 in total

1.  Continuous monitoring of cerebrovascular reactivity through pulse transit time and intracranial pressure.

Authors:  Xiuyun Liu; Kais Gadhoumi; Ran Xiao; Nate Tran; Peter Smielewski; Marek Czosnyka; Steven W Hetts; Nerissa Ko; Xiao Hu
Journal:  Physiol Meas       Date:  2019-01-23       Impact factor: 2.833

2.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Predictions on Maximum Calibration Period and Acceptable Error Limits.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn
Journal:  IEEE Trans Biomed Eng       Date:  2017-09-22       Impact factor: 4.538

Review 3.  Cuffless Blood Pressure Monitoring: Academic Insights and Perspectives Analysis.

Authors:  Shiyun Li; Can Zhang; Zhirui Xu; Lihua Liang; Ye Tian; Long Li; Huaping Wu; Sheng Zhong
Journal:  Micromachines (Basel)       Date:  2022-07-30       Impact factor: 3.523

4.  Cuffless and Touchless Measurement of Blood Pressure from Ballistocardiogram Based on a Body Weight Scale.

Authors:  Shing-Hong Liu; Bing-Hao Zhang; Wenxi Chen; Chun-Hung Su; Chiun-Li Chin
Journal:  Nutrients       Date:  2022-06-20       Impact factor: 6.706

5.  Assessment of Calibration Models for Cuff-Less Blood Pressure Measurement After One Year of Aging.

Authors:  Mohammad Yavarimanesh; Robert C Block; Keerthana Natarajan; Lalit K Mestha; Omer T Inan; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  IEEE Trans Biomed Eng       Date:  2022-05-19       Impact factor: 4.756

6.  Pulse Arrival Time Based Cuff-Less and 24-H Wearable Blood Pressure Monitoring and its Diagnostic Value in Hypertension.

Authors:  Yali Zheng; Carmen C Y Poon; Bryan P Yan; James Y W Lau
Journal:  J Med Syst       Date:  2016-07-22       Impact factor: 4.460

7.  Introducing Contactless Blood Pressure Assessment Using a High Speed Video Camera.

Authors:  In Cheol Jeong; Joseph Finkelstein
Journal:  J Med Syst       Date:  2016-01-20       Impact factor: 4.460

8.  Sex-Related Differences in Photoplethysmography Signals Measured From Finger and Toe.

Authors:  Seyedmohsen Dehghanojamahalleh; Mehmet Kaya
Journal:  IEEE J Transl Eng Health Med       Date:  2019-08-30       Impact factor: 3.316

9.  Weighing Scale-Based Pulse Transit Time is a Superior Marker of Blood Pressure than Conventional Pulse Arrival Time.

Authors:  Stephanie L-O Martin; Andrew M Carek; Chang-Sei Kim; Hazar Ashouri; Omer T Inan; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  Sci Rep       Date:  2016-12-15       Impact factor: 4.379

Review 10.  Wearable Sensors for Remote Health Monitoring.

Authors:  Sumit Majumder; Tapas Mondal; M Jamal Deen
Journal:  Sensors (Basel)       Date:  2017-01-12       Impact factor: 3.576

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