Literature DB >> 28113527

A Chair-Based Unobtrusive Cuffless Blood Pressure Monitoring System Based on Pulse Arrival Time.

Zunyi Tang, Toshiyo Tamura, Masaki Sekine, Ming Huang, Wenxi Chen, Masaki Yoshida, Kaoru Sakatani, Hiroshi Kobayashi, Shigehiko Kanaya.   

Abstract

In this paper, we present an unobtrusive cuffless blood pressure (BP) monitoring system based on pulse arrival time (PAT) for facilitating long-term home BP monitoring. The proposed system consists of an electrocardiograph (ECG), a photoplethysmograph (PPG), and a control circuit with a Bluetooth module, all of which are mounted on a common armchair to measure ECG and PPG signals from users while sitting on the armchair in order to calculate continuous PAT. Considering the good linear correlation of systolic BP (SBP) and the nonlinear correlation of diastolic BP (DBP) with PAT, a new BP estimation method was proposed. Ten subjects underwent BP monitoring experiments involving stationary sitting on a chair, lying on a bed, and pedaling using an ergometer in order to assess the accuracy of the estimated BP. A cuff-type BP monitor was used as reference in the experiments. Results showed that the mean difference of the estimated SBP and DBP was within 0.2 ± 5.8 mmHg ( p < 0.00001) and 0.4 ± 5.7 mmHg ( p < 0.00001), respectively, and the mean absolute difference of the estimated SBP and DBP were 4.4 and 4.6 mmHg, respectively, compared to references. Additionally, five subjects participated in data collections consisting of sitting on a chair twice a day for one month. Compared to the reference, the difference did not obviously increase along with time, even though individualized calibration was executed only once at the beginning. These results suggest that the proposed system has quite the potential for long-term home BP monitoring.

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Year:  2016        PMID: 28113527     DOI: 10.1109/JBHI.2016.2614962

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  12 in total

1.  Cuffless Blood Pressure Monitoring: Promises and Challenges.

Authors:  Jay A Pandit; Enrique Lores; Daniel Batlle
Journal:  Clin J Am Soc Nephrol       Date:  2020-07-17       Impact factor: 8.237

2.  Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes.

Authors:  Zhongjie Hou; Jinxi Xiang; Yonggui Dong; Xiaohui Xue; Hao Xiong; Bin Yang
Journal:  Sensors (Basel)       Date:  2018-08-28       Impact factor: 3.576

3.  Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation.

Authors:  Joonnyong Lee; JangJay Sohn; Jonghyun Park; SeungMan Yang; Saram Lee; Hee Chan Kim
Journal:  Biomed Eng Online       Date:  2018-06-18       Impact factor: 2.819

4.  An Optimization Study of Estimating Blood Pressure Models Based on Pulse Arrival Time for Continuous Monitoring.

Authors:  Jiang Shao; Ping Shi; Sijung Hu; Yang Liu; Hongliu Yu
Journal:  J Healthc Eng       Date:  2020-02-10       Impact factor: 2.682

5.  An iPPG-Based Device for Pervasive Monitoring of Multi-Dimensional Cardiovascular Hemodynamics.

Authors:  Jingjing Luo; Junjie Zhen; Peng Zhou; Wei Chen; Yuzhu Guo
Journal:  Sensors (Basel)       Date:  2021-01-28       Impact factor: 3.576

6.  A Chair-Based Unconstrained/Nonintrusive Cuffless Blood Pressure Monitoring System Using a Two-Channel Ballistocardiogram.

Authors:  Kwang Jin Lee; Jongryun Roh; Dongrae Cho; Joonho Hyeong; Sayup Kim
Journal:  Sensors (Basel)       Date:  2019-01-31       Impact factor: 3.576

7.  A Revised Point-to-Point Calibration Approach with Adaptive Errors Correction to Weaken Initial Sensitivity of Cuff-Less Blood Pressure Estimation.

Authors:  Jiang Shao; Ping Shi; Sijung Hu; Hongliu Yu
Journal:  Sensors (Basel)       Date:  2020-04-13       Impact factor: 3.576

Review 8.  Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension.

Authors:  Kaylie Welykholowa; Manish Hosanee; Gabriel Chan; Rachel Cooper; Panayiotis A Kyriacou; Dingchang Zheng; John Allen; Derek Abbott; Carlo Menon; Nigel H Lovell; Newton Howard; Wee-Shian Chan; Kenneth Lim; Richard Fletcher; Rabab Ward; Mohamed Elgendi
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.241

9.  Blood Pressure Monitoring System Using a Two-Channel Ballistocardiogram and Convolutional Neural Networks.

Authors:  Woojoon Seok; Kwang Jin Lee; Dongrae Cho; Jongryun Roh; Sayup Kim
Journal:  Sensors (Basel)       Date:  2021-03-25       Impact factor: 3.576

10.  Discussion of Cuffless Blood Pressure Prediction Using Plethysmograph Based on a Longitudinal Experiment: Is the Individual Model Necessary?

Authors:  Koshiro Kido; Zheng Chen; Ming Huang; Toshiyo Tamura; Wei Chen; Naoaki Ono; Masachika Takeuchi; Md Altaf-Ul-Amin; Shigehiko Kanaya
Journal:  Life (Basel)       Date:  2021-12-22
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