Literature DB >> 26767518

Impact of heart disease and calibration interval on accuracy of pulse transit time-based blood pressure estimation.

Xiaorong Ding1, Yuanting Zhang, Hon Ki Tsang.   

Abstract

Continuous blood pressure (BP) measurement without a cuff is advantageous for the early detection and prevention of hypertension. The pulse transit time (PTT) method has proven to be promising for continuous cuffless BP measurement. However, the problem of accuracy is one of the most challenging aspects before the large-scale clinical application of this method. Since PTT-based BP estimation relies primarily on the relationship between PTT and BP under certain assumptions, estimation accuracy will be affected by cardiovascular disorders that impair this relationship and by the calibration frequency, which may violate these assumptions. This study sought to examine the impact of heart disease and the calibration interval on the accuracy of PTT-based BP estimation. The accuracy of a PTT-BP algorithm was investigated in 37 healthy subjects and 48 patients with heart disease at different calibration intervals, namely 15 min, 2 weeks, and 1 month after initial calibration. The results showed that the overall accuracy of systolic BP estimation was significantly lower in subjects with heart disease than in healthy subjects, but diastolic BP estimation was more accurate in patients than in healthy subjects. The accuracy of systolic and diastolic BP estimation becomes less reliable with longer calibration intervals. These findings demonstrate that both heart disease and the calibration interval can influence the accuracy of PTT-based BP estimation and should be taken into consideration to improve estimation accuracy.

Entities:  

Mesh:

Year:  2016        PMID: 26767518     DOI: 10.1088/0967-3334/37/2/227

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


  11 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.  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

3.  Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias.

Authors:  ZengDing Liu; Bin Zhou; Ye Li; Min Tang; Fen Miao
Journal:  Front Physiol       Date:  2020-09-09       Impact factor: 4.566

4.  Pulse Transit Time Based Continuous Cuffless Blood Pressure Estimation: A New Extension and A Comprehensive Evaluation.

Authors:  Xiaorong Ding; Bryan P Yan; Yuan-Ting Zhang; Jing Liu; Ni Zhao; Hon Ki Tsang
Journal:  Sci Rep       Date:  2017-09-14       Impact factor: 4.379

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

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

6.  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

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.  A novel art of continuous noninvasive blood pressure measurement.

Authors:  Jürgen Fortin; Dorothea E Rogge; Christian Fellner; Doris Flotzinger; Julian Grond; Katja Lerche; Bernd Saugel
Journal:  Nat Commun       Date:  2021-03-02       Impact factor: 14.919

9.  Real-Time Cuffless Continuous Blood Pressure Estimation Using 1D Squeeze U-Net Model: A Progress toward mHealth.

Authors:  Tasbiraha Athaya; Sunwoong Choi
Journal:  Biosensors (Basel)       Date:  2022-08-18

Review 10.  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

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