Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

Hsiu, Hsin; Hsu, Chia-Liang; Chen, C. T.; Hsu, Wei-Chen; Hu, Hsiao-Feng; Chen, F. C.

doi:10.7763/ijbbb.2012.v2.110

Cited by 9 publications

(6 citation statements)

References 13 publications

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“… 60 Conversely, localized heating has been observed to augment the intensity of C1 to C3 harmonics. 104 These observations underscore the notion that temperature-induced alterations in local blood flow can bring about changes in pulse wave characteristics. Although pulse diagnosis theoretically has the potential to assess systemic symptoms, it may also be subject to influence by the local vascular condition.…”

Section: Resultsmentioning

confidence: 77%

Peripheral pulse harmonic analysis and its clinical application: A systematic review

Hsiao,

Kang,

et al. 2024

Journal of Traditional and Complementary Medicine

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Section: Resultsmentioning

confidence: 77%

Peripheral pulse harmonic analysis and its clinical application: A systematic review

Hsiao,

Kang,

et al. 2024

Journal of Traditional and Complementary Medicine

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“…In addition, several studies have found that the harmonic component of radial pulse or photoplethysmography (PPG) harmonic analysis is highly correlated with disease or treatment [15]. the PPG signal is generated by changes in blood volume as blood moves in and out of tissues, whereas the pulse signal is generated by changes in pressure as blood passes through the radial artery.…”

Section: Introductionmentioning

confidence: 99%

“…the PPG signal is generated by changes in blood volume as blood moves in and out of tissues, whereas the pulse signal is generated by changes in pressure as blood passes through the radial artery. 15 Both signals are products of blood circulation and both have similar waveforms and waveform periods. PPG measurements have also been used in the assessment of maternal hemodynamics.…”

Section: Introductionmentioning

confidence: 99%

Harmonic Analysis of Hemodynamic Status at Different Pregnancy Stages Using Photoplethysmography

Chen¹,

Wang²,

Wang³

et al. 2023

Preprint

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Background: During pregnancy, major physiological changes occur in every system. Understanding the hemodynamic changes in different stages of pregnancy can help to identify abnormal states during pregnancy. Harmonic analysis could be a useful tool in monitoring the state of the ventricular-arterial system during pregnancy. The aim of this study was to investigate the specific statistical relationships between changes in harmonic indices during different stages of pregnancy. Methods: A Total of 380 women (190 pregnant women and 190 age-matched non-pregnant women), with ages ranging from 20 to 45, were enrolled in the study. The visit measured the subject’s hemodynamic parameters including heart rate, systolic blood pressure (SBP), diastolic blood pressure (DBP) and photoplethysmography (PPG). SBP and DBP were evaluated by an automatic blood pressure monitor. PPG signal were continuously recorded for 12-seconds using a PPG sensor. Spectrum analysis of the PPG signal was performed to evaluate the first five harmonic components (C1 – C5) and harmonic phases (P1 – P5). Result: A comparison between pregnant women and non-pregnant women showed that the non-pregnant women had lower DBP, C3, C5 and P5 (p<0.05). Waist Circumference, Heart rate, C2, C4 and P2 were higher in pregnant women. Logistic regression analysis was used to determine the associations between pregnancy and harmonics indices. C2, C4 and P3 were positively and P1 and P4 were negatively associated with pregnancy after controlling age, BMI, waist circumference, heart rate, SBP and DBP. Conclusion: The results of this study provide information on the changes in the harmonic frequency components during various stages of pregnancy. The harmonic components of the PPG signal have independent predictive value for changes in a woman's physiology during pregnancy. Since non-invasive PPG measurements can be performed frequently and easily, in the future, it is possible that the hemodynamic changes from some pregnancy-related disorders could be studied by harmonic analysis.

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“…Usually, patients with hypertension also have other individual differences, which results in interference of PPG waveforms and decreases the fitting accuracy of the model. These individual differences can be affected by several factors, such as diabetes, arrhythmia, pregnancy, lifestyle, age, gender, body mass index, daily variations, or environmental conditions such as temperature and experimental errors during the data measurement [34][35][36][37][38]. As cardiovascular features and signals vary among conditions and change with time, determining how much the BP estimation varies depending on a factor or in terms of time is important.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Model with Feedback Calibration Embedded Blood Pressure Estimator Using Reflective Photoplethysmography

Chen

Huang

Fang

et al. 2022

Sensors

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Ambulatory blood pressure (BP) monitoring (ABPM) is vital for screening cardiovascular activity. The American College of Cardiology/American Heart Association guideline for the prevention, detection, evaluation, and management of BP in adults recommends measuring BP outside the office setting using daytime ABPM. The recommendation to use night–day BP measurements to confirm hypertension is consistent with the recommendation of several other guidelines. In recent studies, ABPM was used to measure BP at regular intervals, and it reduces the effect of the environment on BP. Out-of-office measurements are highly recommended by almost all hypertension organizations. However, traditional ABPM devices based on the oscillometric technique usually interrupt sleep. For all-day ABPM purposes, a photoplethysmography (PPG)-based wrist-type device has been developed as a convenient tool. This optical, noninvasive device estimates BP using morphological characteristics from PPG waveforms. As measurement can be affected by multiple variables, calibration is necessary to ensure that the calculated BP values are accurate. However, few studies focused on adaptive calibration. A novel adaptive calibration model, which is data-driven and embedded in a wearable device, was proposed. The features from a 15 s PPG waveform and personal information were input for estimation of BP values and our data-driven calibration model. The model had a feedback calibration process using the exponential Gaussian process regression method to calibrate BP values and avoid inter- and intra-subject variability, ensuring accuracy in long-term ABPM. The estimation error of BP (ΔBP = actual BP—estimated BP) of systolic BP was −0.1776 ± 4.7361 mmHg; ≤15 mmHg, 99.225%, and of diastolic BP was −0.3846 ± 6.3688 mmHg; ≤15 mmHg, 98.191%. The success rate was improved, and the results corresponded to the Association for the Advancement of Medical Instrumentation standard and British Hypertension Society Grading criteria for medical regulation. Using machine learning with a feedback calibration model could be used to assess ABPM for clinical purposes.

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Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

Cited by 9 publications

References 13 publications

Peripheral pulse harmonic analysis and its clinical application: A systematic review

Peripheral pulse harmonic analysis and its clinical application: A systematic review

Harmonic Analysis of Hemodynamic Status at Different Pregnancy Stages Using Photoplethysmography

A Data-Driven Model with Feedback Calibration Embedded Blood Pressure Estimator Using Reflective Photoplethysmography

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