Accuracy and precision of continuous non-invasive arterial pressure monitoring in critical care: A systematic review and meta-analysis

Kamboj, Navpreet; Chang, Kristina; Metcalfe, Kelly; Chu, Charlene H.; Conway, Aaron

doi:10.1016/j.iccn.2021.103091

Cited by 9 publications

(11 citation statements)

References 44 publications

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“…Second, the volume-clamp method can be used to measure BP continuously ( 156 , 208 ). This approach is used by several commercially available devices ( 213 ). Third, systolic BP (SBP) can be identified upon deflating a cuff proximal to a PPG probe ( 97 ) [and can be combined with Korotkoff sound measurements to increase accuracy ( 80 )].…”

Section: Resultsmentioning

confidence: 99%

“…Accurate classification into normo-, prehyper-, and hypertension BP categories has been achieved using PPG scalograms as inputs to a convolutional neural network ( 28 ). The performance of commercially available devices for continuous, noninvasive BP monitoring using the volume-clamp method was reported in a recent meta-analysis: substantial differences were found between BP estimates and reference invasive measurements, with population limits of agreement for SBP of −36 to 28 mmHg ( 213 ).…”

Section: Resultsmentioning

confidence: 99%

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Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet

Charlton

Paliakaitė‬‬‬

Pilt

et al. 2022

American Journal of Physiology-Heart and Circulatory Physiology

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The photoplethysmogram (PPG) signal is widely measured by clinical and consumer devices, and it is emerging as a potential tool for assessing vascular age. The shape and timing of the PPG pulse wave are both influenced by normal vascular ageing, changes in arterial stiffness and blood pressure, and atherosclerosis. This review summarises research into assessing vascular age from the PPG. Three categories of approaches are described: (i) those which use a single PPG signal (based on pulse wave analysis); (ii) those which use multiple PPG signals (such as pulse transit time measurement); and (iii) those which use PPG and other signals (such as pulse arrival time measurement). Evidence is then presented on the performance, repeatability and reproducibility, and clinical utility of PPG-derived parameters of vascular age. Finally, the review outlines key directions for future research to realise the full potential of photoplethysmography for assessing vascular age.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet

Charlton

Paliakaitė‬‬‬

Pilt

et al. 2022

American Journal of Physiology-Heart and Circulatory Physiology

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“…The cuff pressure can then be assumed to be equal to arterial BP. This approach is used in several clinical monitors [ 162 ], but it is less suitable for use in wearable devices due to the need for a cuff [ 19 ].…”

Section: Ppg Signal Processingmentioning

confidence: 99%

Wearable Photoplethysmography for Cardiovascular Monitoring

et al. 2022

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Smart wearables provide an opportunity to monitor health in daily life and are emerging as potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands and smartwatches routinely monitor the photoplethysmogram signal, an optical measure of the arterial pulse wave that is strongly influenced by the heart and blood vessels. In this survey, we summarize the fundamentals of wearable photoplethysmography and its analysis, identify its potential clinical applications, and outline pressing directions for future research in order to realize its full potential for tackling CVD.

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“…Therefore, for a significant amount of time, it has been the interest of the research community to develop methods and apparatus to determine blood pressure from biomedical signals in a continuous, cuff-less, non-invasive manner [ 7 , 8 , 9 ]. Though there are some popular volume-clamp-based techniques (Finapres and CNAP) to measure BP non-invasively, they are not very accurate and reliable [ 10 , 11 , 12 , 13 ]. Photoplethysmography (PPG) has gained a lot of popularity recently, due to its widespread inclusion in smartwatches and fitness bands and owing to its simplicity and cheapness.…”

Section: Introductionmentioning

confidence: 99%

PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms

et al. 2022

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Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an invasive process, introducing several layers of complexities and reliability concerns due to non-invasive techniques not being accurate. This motivates us to develop a method to estimate the continuous arterial blood pressure (ABP) waveform through a non-invasive approach using Photoplethysmogram (PPG) signals. We explore the advantage of deep learning, as it would free us from sticking to ideally shaped PPG signals only by making handcrafted feature computation irrelevant, which is a shortcoming of the existing approaches. Thus, we present PPG2ABP, a two-stage cascaded deep learning-based method that manages to estimate the continuous ABP waveform from the input PPG signal with a mean absolute error of 4.604 mmHg, preserving the shape, magnitude, and phase in unison. However, the more astounding success of PPG2ABP turns out to be that the computed values of Diastolic Blood Pressure (DBP), Mean Arterial Pressure (MAP), and Systolic Blood Pressure (SBP) from the estimated ABP waveform outperform the existing works under several metrics (mean absolute error of 3.449 ± 6.147 mmHg, 2.310 ± 4.437 mmHg, and 5.727 ± 9.162 mmHg, respectively), despite that PPG2ABP is not explicitly trained to do so. Notably, both for DBP and MAP, we achieve Grade A in the BHS (British Hypertension Society) Standard and satisfy the AAMI (Association for the Advancement of Medical Instrumentation) standard.

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Accuracy and precision of continuous non-invasive arterial pressure monitoring in critical care: A systematic review and meta-analysis

Cited by 9 publications

References 44 publications

Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet

Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet

Wearable Photoplethysmography for Cardiovascular Monitoring

PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms

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