Single-source PPG-based local pulse wave velocity measurement: a potential cuffless blood pressure estimation technique

Nabeel, P M; Joseph, Jayaraj; Mohanasankar, Sivaprakasam

doi:10.1088/1361-6579/aa9550

Cited by 66 publications

(46 citation statements)

References 29 publications

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“…In multimodal biosignal systems, the most common feature used to estimate BP is the pulse wave velocity (PWV) [3]. The PWV is the speed at which a pressure wave travels down a segment of fixed length d and it can be calculated as PWV = d/PTT, where PTT is the pulse transit time.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension

Welykholowa

Hosanee

Chan

et al. 2020

JCM

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Elevated blood pressure (BP) is a major cause of death, yet hypertension commonly goes undetected. Owing to its nature, it is typically asymptomatic until later in its progression when the vessel or organ structure has already been compromised. Therefore, noninvasive and continuous BP measurement methods are needed to ensure appropriate diagnosis and early management before hypertension leads to irreversible complications. Photoplethysmography (PPG) is a noninvasive technology with waveform morphologies similar to that of arterial BP waveforms, therefore attracting interest regarding its usability in BP estimation. In recent years, wearable devices incorporating PPG sensors have been proposed to improve the early diagnosis and management of hypertension. Additionally, the need for improved accuracy and convenience has led to the development of devices that incorporate multiple different biosignals with PPG. Through the addition of modalities such as an electrocardiogram, a final measure of the pulse wave velocity is derived, which has been proved to be inversely correlated to BP and to yield accurate estimations. This paper reviews and summarizes recent studies within the period 2010–2019 that combined PPG with other biosignals and offers perspectives on the strengths and weaknesses of current developments to guide future advancements in BP measurement. Our literature review reveals promising measurement accuracies and we comment on the effective combinations of modalities and success of this technology.

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Section: Introductionmentioning

confidence: 99%

Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension

Welykholowa

Hosanee

Chan

et al. 2020

JCM

View full text Add to dashboard Cite

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“…Considering that it took 30 seconds to measure one cuff BP with MB-300C, an average value of PATs in these 30 seconds [22] from corresponding PPG and ECG signals was calculated to estimate BP based on its estimation model. e mapping relationship between the dependent variable and the independent variable was established through the available initial values.…”

Section: E Advanced Ptp Method: a Justified And Uniformmentioning

confidence: 99%

“…Furthermore, the methods of neural network or machine learning were paid more attention during investigating these PAT-based approaches for BP modeling [20]. Although the BP monitoring solutions described above were helpful, their accuracy of estimated BP methods, such as linear estimation [21], nonlinear estimation [4,9,22,23], and regression approaches [24,25], is still needed to improve to meet the association for the Advancement of Medical Instrumentation (AAMI) standard [26].…”

Section: Introductionmentioning

confidence: 99%

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

Shao

Shi

et al. 2020

Journal of Healthcare Engineering

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Continuous blood pressure (BP) monitoring has a significant meaning for the prevention and early diagnosis of cardiovascular disease. However, under different calibration methods, it is difficult to determine which model is better for estimating BP. This study was firstly designed to reveal a better BP estimation model by evaluating and optimizing different BP models under a justified and uniform criterion, i.e., the advanced point-to-point pairing method (PTP). Here, the physical trial in this study caused the BP increase largely. In addition, the PPG and ECG signals were collected while the cuff bps were measured for each subject. The validation was conducted on four popular vascular elasticity (VE) models (MK-EE, L-MK, MK-BH, and dMK-BH) and one representative elastic tube (ET) model, i.e., M-M. The results revealed that the VE models except for L-MK outperformed the ET model. The linear L-MK as a VE model had the largest estimated error, and the nonlinear M-M model had a weaker correlation between the estimated BP and the cuff BP than MK-EE, MK-BH, and dMK-BH models. Further, in contrast to L-MK, the dMK-BH model had the strongest correlation and the smallest difference between the estimated BP and the cuff BP including systolic blood pressure (SBP) and diastolic blood pressure (DBP) than others. In this study, the simple MK-EE model showed the best similarity to the dMK-BH model. There were no significant changes between MK-EE and dMK-BH models. These findings indicated that the nonlinear MK-EE model with low estimated error and simple mathematical expression was a good choice for application in wearable sensor devices for cuff-less BP monitoring compared to others.

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“…Recently, heuristic modeling was investigated through regression technique, such as linear estimation [18] and non-linear estimation [3,17,19,20], to estimate BP from the indirect indicators, where the indicators included PTT or heart rate (HR) [21], PIR PPG intensity ratio [14], TDB, a kind of arterial stiffness index denoted the duration from the maximum derivative point to the dicrotic peak in the PPG [21], and others. Furthermore, some reports on predictive modeling with data-driven methods such as machine learning have received more attention to obtain models for better describing the relationship between BP indicators and BP through analyzing pulse wave morphology based on more comprehensive and available indicators from ECG or PPG signals [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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

Shao

Shi

et al. 2020

Sensors

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Initial calibration is a great challenge for cuff-less blood pressure (BP) measurement. The traditional one point-to-point (oPTP) calibration procedure only uses one sample/point to obtain unknown parameters of a specific model in a calm state. In fact, parameters such as pulse transit time (PTT) and BP still have slight fluctuations at rest for each subject. The conventional oPTP method had a strong sensitivity in the selection of initial value. Yet, the initial sensitivity of calibration has not been reported and investigated in cuff-less BP motoring. In this study, a mean point-to-point (mPTP) paring calibration method through averaging and balancing calm or peaceful states was proposed for the first time. Thus, based on mPTP, a factor point-to-point (fPTP) paring calibration method through introducing the penalty factor was further proposed to improve and optimize the performance of BP estimation. Using the oPTP, mPTP, and fPTP methods, a total of more than 100,000 heartbeat samples from 21 healthy subjects were tested and validated in the PTT-based BP monitoring technologies. The results showed that the mPTP and fPTP methods significantly improved the performance of estimating BP compared to the conventional oPTP method. Moreover, the mPTP and fPTP methods could be widely popularized and applied, especially the fPTP method, on estimating cuff-less diastolic blood pressure (DBP). To this extent, the fPTP method weakens the initial calibration sensitivity of cuff-less BP estimation and fills in the ambiguity for individualized calibration procedure.

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Single-source PPG-based local pulse wave velocity measurement: a potential cuffless blood pressure estimation technique

Abstract: A reliable system for cuffless BP measurement and local estimation of arterial wall properties.

Cited by 66 publications

References 29 publications

Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension

Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension

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

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

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