Literature DB >> 34097603

Photoplethysmography Fast Upstroke Time Intervals Can Be Useful Features for Cuff-Less Measurement of Blood Pressure Changes in Humans.

Keerthana Natarajan, Robert C Block, Mohammad Yavarimanesh, Anand Chandrasekhar, Lalit K Mestha, Omer T Inan, Jin-Oh Hahn, Ramakrishna Mukkamala.   

Abstract

OBJECTIVE: Photoplethysmography (PPG) waveform analysis is being increasingly investigated for continuous, non-invasive, and cuff-less blood pressure (BP) measurement. However, the efficacy of this approach and the useful features and models remain largely unclear. The objectives were to develop easy-to-understand models relating PPG waveform features to BP changes (after a cuff calibration) and to determine their value in BP measurement accuracy.
METHODS: The study data comprised finger, toe, and ear PPG waveforms, an ECG waveform, and reference manual cuff BP measurements from 32 human subjects (25% hypertensive) before and after slow breathing, mental arithmetic, cold pressor, and nitroglycerin administration. Stepwise linear regression was employed to create parsimonious models for predicting the intervention-induced BP changes from popular PPG waveform features, pulse arrival time (PAT, time delay between ECG R-wave and PPG foot), and subject demographics. Leave-one-subject-out cross validation was applied to compare the BP change prediction root-mean-squared-errors (RMSEs) of the resulting models to reference models in which PPG waveform features were excluded.
RESULTS: Finger b-time (PPG foot to minimum second derivative time interval) and ear "STT" (PPG amplitude divided by maximum derivative), when combined with PAT, reduced the systolic BP change prediction RMSE of reference models by 6-7% (p 0.022). Ear STT together with pulse width reduced the diastolic BP change prediction RMSE of the reference model by 13% (p = 0.003).
CONCLUSION: The two PPG fast upstroke time intervals can offer some added value in cuff-less BP trending. SIGNIFICANCE: This study offers important information towards achieving non-invasive and passive BP monitoring without a cuff.

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Mesh:

Year:  2021        PMID: 34097603      PMCID: PMC8782151          DOI: 10.1109/TBME.2021.3087105

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  17 in total

1.  Agreement between methods of measurement with multiple observations per individual.

Authors:  J Martin Bland; Douglas G Altman
Journal:  J Biopharm Stat       Date:  2007       Impact factor: 1.051

2.  Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology.

Authors:  Juan C Ruiz-Rodríguez; Adolf Ruiz-Sanmartín; Vicent Ribas; Jesús Caballero; Alejandra García-Roche; Jordi Riera; Xavier Nuvials; Miriam de Nadal; Oriol de Sola-Morales; Joaquim Serra; Jordi Rello
Journal:  Intensive Care Med       Date:  2013-06-06       Impact factor: 17.440

3.  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

4.  Estimating blood pressure trends and the nocturnal dip from photoplethysmography.

Authors:  Mustafa Radha; Koen de Groot; Nikita Rajani; Cybele C P Wong; Nadja Kobold; Valentina Vos; Pedro Fonseca; Nikolaos Mastellos; Petra A Wark; Nathalie Velthoven; Reinder Haakma; Ronald M Aarts
Journal:  Physiol Meas       Date:  2019-02-26       Impact factor: 2.833

5.  Robust blood pressure estimation from finger photoplethysmography using age-dependent linear models.

Authors:  Xiaoman Xing; Zhimin Ma; Mingyou Zhang; Xi Gao; Ying Li; Mingxuan Song; Wen-Fei Dong
Journal:  Physiol Meas       Date:  2020-03-09       Impact factor: 2.833

6.  Slow breathing improves arterial baroreflex sensitivity and decreases blood pressure in essential hypertension.

Authors:  Chacko N Joseph; Cesare Porta; Gaia Casucci; Nadia Casiraghi; Mara Maffeis; Marco Rossi; Luciano Bernardi
Journal:  Hypertension       Date:  2005-08-29       Impact factor: 10.190

7.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn; Omer T Inan; Lalit K Mestha; Chang-Sei Kim; Hakan Töreyin; Survi Kyal
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-05       Impact factor: 4.538

8.  PPG Sensor Contact Pressure Should Be Taken Into Account for Cuff-Less Blood Pressure Measurement.

Authors:  Anand Chandrasekhar; Mohammad Yavarimanesh; Keerthana Natarajan; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  IEEE Trans Biomed Eng       Date:  2020-02-28       Impact factor: 4.538

9.  Development and Validation of a Novel Cuff-Less Blood Pressure Monitoring Device.

Authors:  Naoki Watanabe; Yasuko K Bando; Taiji Kawachi; Hiroshi Yamakita; Kouki Futatsuyama; Yoshikazu Honda; Hisae Yasui; Kazuyuki Nishimura; Takahiro Kamihara; Takahiro Okumura; Hideki Ishii; Takahisa Kondo; Toyoaki Murohara
Journal:  JACC Basic Transl Sci       Date:  2017-12-25

Review 10.  On the analysis of fingertip photoplethysmogram signals.

Authors:  Mohamed Elgendi
Journal:  Curr Cardiol Rev       Date:  2012-02
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  3 in total

Review 1.  Evaluation of the Accuracy of Cuffless Blood Pressure Measurement Devices: Challenges and Proposals.

Authors:  Ramakrishna Mukkamala; Mohammad Yavarimanesh; Keerthana Natarajan; Jin-Oh Hahn; Konstantinos G Kyriakoulis; Alberto P Avolio; George S Stergiou
Journal:  Hypertension       Date:  2021-09-13       Impact factor: 10.190

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.  Multiparametric cloth-based wearable, SimpleSense, estimates blood pressure.

Authors:  Prashanth Shyam Kumar; Pratyush Rai; Mouli Ramasamy; Venkatesh K Varadan; Vijay K Varadan
Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

  3 in total

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