Literature DB >> 26737587

Cuffless blood pressure estimation from the carotid pulse arrival time using continuous wave radar.

Dilpreet Buxi, Jean-Michel Redoute, Mehmet Rasit Yuce.   

Abstract

Ambulatory blood pressure monitors based on pulse transit time are limited by the challenge of changing vascular tone. This study focuses on the use of the carotid artery as an alternative location for arterial pulse acquisition. We use continuous wave radio frequency (RF) radar coupled directly to the body to detect the pulse wave signal. We have shown that the blood pressure-pulse transit time calibration using the carotid pulse is as accurate as that of the radial arterial pulse. The results of this investigation may be useful in developing wearable sensors for long-term monitoring of the pulse wave signal at the carotid artery.

Mesh:

Year:  2015        PMID: 26737587     DOI: 10.1109/EMBC.2015.7319687

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing Positions.

Authors:  Malikeh Pour Ebrahim; Majid Sarvi; Mehmet Rasit Yuce
Journal:  Sensors (Basel)       Date:  2017-03-01       Impact factor: 3.576

2.  Identification of blood pressure reflecting personalized traits using bilateral photoplethysmography.

Authors:  Young-Suk Shin
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

3.  Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.

Authors:  Syed Ghufran Khalid; Jufen Zhang; Fei Chen; Dingchang Zheng
Journal:  J Healthc Eng       Date:  2018-10-23       Impact factor: 2.682

4.  Blood Pressure Estimation Using On-body Continuous Wave Radar and Photoplethysmogram in Various Posture and Exercise Conditions.

Authors:  Malikeh Pour Ebrahim; Fatemeh Heydari; Taiyang Wu; Katherine Walker; Keith Joe; Jean-Michel Redoute; Mehmet Rasit Yuce
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

  4 in total

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