Literature DB >> 26736283

Photoplethysmogram intensity ratio: A potential indicator for improving the accuracy of PTT-based cuffless blood pressure estimation.

Xiao-Rong Ding, Yuan-Ting Zhang.   

Abstract

The most commonly used method for cuffless blood pressure (BP) measurement is using pulse transit time (PTT), which is based on Moens-Korteweg (M-K) equation underlying the assumption that arterial geometries such as the arterial diameter keep unchanged. However, the arterial diameter is dynamic which varies over the cardiac cycle, and it is regulated through the contraction or relaxation of the vascular smooth muscle innervated primarily by the sympathetic nervous system. This may be one of the main reasons that impair the BP estimation accuracy. In this paper, we propose a novel indicator, the photoplethysmogram (PPG) intensity ratio (PIR), to evaluate the arterial diameter change. The deep breathing (DB) maneuver and Valsalva maneuver (VM) were performed on five healthy subjects for assessing parasympathetic and sympathetic nervous activities, respectively. Heart rate (HR), PTT, PIR and BP were measured from the simultaneously recorded electrocardiogram (ECG), PPG, and continuous BP. It was found that PIR increased significantly from inspiration to expiration during DB, whilst BP dipped correspondingly. Nevertheless, PIR changed positively with BP during VM. In addition, the spectral analysis revealed that the dominant frequency component of PIR, HR and SBP, shifted significantly from high frequency (HF) to low frequency (LF), but not obvious in that of PTT. These results demonstrated that PIR can be potentially used to evaluate the smooth muscle tone which modulates arterial BP in the LF range. The PTT-based BP measurement that take into account the PIR could therefore improve its estimation accuracy.

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Year:  2015        PMID: 26736283     DOI: 10.1109/EMBC.2015.7318383

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


  7 in total

1.  Accurate Fiducial Point Detection Using Haar Wavelet for Beat-by-Beat Blood Pressure Estimation.

Authors:  Muskan Singla; Syed Azeemuddin; Prasad Sistla
Journal:  IEEE J Transl Eng Health Med       Date:  2020-06-05       Impact factor: 3.316

2.  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

3.  Vascular origins of low-frequency oscillations in the cerebrospinal fluid signal in resting-state fMRI: Interpretation using photoplethysmography.

Authors:  Ahmadreza Attarpour; James Ward; J Jean Chen
Journal:  Hum Brain Mapp       Date:  2021-02-27       Impact factor: 5.038

4.  A Novel Clustering-Based Algorithm for Continuous and Noninvasive Cuff-Less Blood Pressure Estimation.

Authors:  Ali Farki; Reza Baradaran Kazemzadeh; Elham Akhondzadeh Noughabi
Journal:  J Healthc Eng       Date:  2022-01-15       Impact factor: 2.682

Review 5.  Photoplethysmogram Analysis and Applications: An Integrative Review.

Authors:  Junyung Park; Hyeon Seok Seok; Sang-Su Kim; Hangsik Shin
Journal:  Front Physiol       Date:  2022-03-01       Impact factor: 4.566

6.  An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals.

Authors:  Cheng-Yan Guo; Hao-Ching Chang; Kuan-Jen Wang; Tung-Li Hsieh
Journal:  Micromachines (Basel)       Date:  2022-08-16       Impact factor: 3.523

Review 7.  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

  7 in total

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