Estimating blood pressure using Windkessel model on photoplethysmogram

Choudhury, Anirban Dutta; Banerjee, Rohan; Sinha, Aniruddha; Kundu, Shaswati

doi:10.1109/embc.2014.6944640

Cited by 63 publications

(43 citation statements)

References 7 publications

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“…37,38 While more validation studies are needed, the near instantaneous response time shown in both of these studies is encouraging. 33,34 In aggregate, these data suggest that PTT, at least over short time periods, provides useful information for immediate detection of hemodynamic changes that might be missed if only an oscillometric cuff method is used for periodic blood pressure assessments.…”

Section: Physiology Of the Ppgmentioning

confidence: 89%

“…10,33 One reason for the lack of success is the fact that the PPG measures changes in light absorption, which are not easily translated to changes in pressure -especially when neither the width nor compliance of the finger are known. In addition, the modified Beer-Lambert law, which is integral to pulse oximetry and other similar technologies, is an oversimplification of light behaviour through tissue.…”

Section: Physiology Of the Ppgmentioning

confidence: 99%

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Advances in photoplethysmography: beyond arterial oxygen saturation

Bartels

Thiele

2015

Can J Anesth/J Can Anesth

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Purpose Photoplethysmography permits continuous measurement of heart rate and peripheral oxygen saturation and has been widely used to inform clinical decisions. Recently, a myriad of noninvasive hemodynamic monitoring devices using this same technology have been increasingly available. This narrative review aims to summarize the principles that form the basis for the function of these devices as well as to comment on trials evaluating their accuracy and clinical application. Principal findings Advanced monitoring devices extend photoplethysmography technology beyond measuring oxygen concentration and heart rate. Quantification of respiratory variation of the photoplethysmographic waveform reflects respiratory variation of the arterial pressure waveform and can be used to gauge volume responsiveness. Both the volume-clamp and physiocal techniques are extensions of conventional photoplethysmography and permit continuous measurement of finger arterial blood pressure. Finger arterial pressure waveforms can subsequently inform estimations of cardiac output. Conclusions Although respiratory variations of the plethysmographic waveform correlate only modestly with the arterial blood pressure waveform, fluid responsiveness can be relatively consistently assessed using both approaches. Continuous blood pressure measurements obtained using the volume-clamp technique may be as accurate as conventional brachial noninvasive blood pressure measurements. Most importantly, clinical comparative effectiveness studies are still needed in order to determine if these technologies can be translated into improvement of relevant patient outcomes. RésuméObjectif La photopléthysmographie permet la mesure continue de la fréquence cardiaque et de la saturation en oxygène périphérique, et elle est largement utilisée pour les prises de décisions cliniques. Depuis peu, un très grand nombre de dispositifs non invasifs de surveillance hémodynamique utilisant la même technologie envahit le marché. Cette synthèse narrative vise à résumer les principes à la base du fonctionnement de ces dispositifs et à commenter les essais évaluant leur exactitude ainsi que leurs applications cliniques. Constatations principales Les dispositifs de surveillance avancée étendent la technologie de photopléthysmographie au-delà de la mesure de la concentration en oxygène et de la fréquence cardiaque. La quantification de la variation respiratoire du tracé photopléthysmographique reflète la variation respiratoire du tracé de pression artérielle et peut servir à jauger la réactivité au volume. Les deux techniques de compression volumique (volume-clamp) au doigt et la technique physiocal sont des prolongements de Author contributions Karsten Bartels wrote approximately 50% of the manuscript and critically edited the remainder. Robert H. Thiele wrote approximately 50% of the manuscript and critically edited the remainder.

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Section: Physiology Of the Ppgmentioning

confidence: 89%

Section: Physiology Of the Ppgmentioning

confidence: 99%

Advances in photoplethysmography: beyond arterial oxygen saturation

Bartels

Thiele

2015

Can J Anesth/J Can Anesth

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“…However, using the Windkessel cardiac model [12], we can estimate BP using indirect techniques. Our method for estimating BP is roughly based on [11,8], which uses Artificial Neural Network to determine R and C on a two-element Windkessel cardiac model. In this case, R and C represent the peripheral resistance and arterial compliance.…”

Section: Estimating Heart Rate and Blood Pressure From Ppg Signalsmentioning

confidence: 99%

“…The software for the Smart eye wear prototype model is discussed in detail here.The mobile application subsystem is closely based on [7] and [11]. As mentioned, the BP estimation procedure consists of training and evaluation phase.…”

Section: Mobile Application Sub-systemmentioning

confidence: 99%

“…Wide range of prior arts are available that estimate the systolic (P s ) and diastolic (P d ) BP from PPG [12]. We have introduced model driven approach [10] that estimates BP via the R and C parameters of 2-element Windkessel model using PPG features. The basic concept of our prototype model is to, 1 acquire the PPG using pulse sensor, digitize it 2 transmit the PPG to smart phone via Bluetooth 3 process the PPG and estimate BP, heart rate in a smart phone and later 4 transfer the User's medical reports and details to the server.…”

Section: Introductionmentioning

confidence: 99%

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Feasibility Analysis for Estimation of Blood Pressure and Heart Rate using A Smart Eye Wear

Ahmed¹,

Banerjee²,

Ghose³

et al. 2015

Proceedings of the 2015 Workshop on Wearable Systems and Applications

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The major issue with hypertension is the fact that it does not have any symptoms also measurements are highly variable in nature. However, high blood pressure has severe effects on a person's health. This poses a requirement for continuous blood pressure monitoring and analysis of people suffering from chronic condition. In this paper we propose PPG based continuous blood pressure and heart rate monitoring system in form factor of a Smart Eye wear. We do a feasibility analysis of the idea and show that it is possible to determine blood pressure and heart rate by sensing PPG from the side of head region (temple) where a spectacle frame would fit. The advantage of Smart Eye Wear over other wearable device is that it provides better contact, minimal motion artifact and maintains uniform pressure without causing any trouble to user.

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Deep learning for prediction of cardiac indices from photoplethysmographic waveform: A virtual database approach

Huttunen

Kärkkäinen

Honkala

et al. 2020

Numer Methods Biomed Eng

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Deep learning methods combined with large datasets have recently shown significant progress in solving several medical tasks. However, collecting and annotating large datasets can be a very cumbersome and expensive task. We tackle these problems with a virtual database approach where training data is generated using computer simulations of related phenomena. Specifically, we concentrate on the following problem: can cardiovascular indices such as aortic elasticity, diastolic and systolic blood pressures, and blood flow from heart be predicted continuously using wearable photoplethysmographic sensors? We simulate the blood flow using a haemodynamic model consisting of the entire human circulation. Repeated evaluation of the simulator allows us to create a database of “virtual subjects” with size that is only limited by available computational resources. Using this database, we train neural networks to predict the cardiac indices from photoplethysmographic signal waveform. We consider two approaches: neural networks based on predefined input features and deep convolutional neural networks taking waveform directly as the input. The performance of the methods is demonstrated using numerical examples, thus carrying out a preliminary assessment of the approaches. The results show improvements in accuracy compared with the previous methods. The improvements are especially significant with indices related to aortic elasticity and maximum blood flow. The proposed approach would provide new means to measure cardiovascular health continuously, for example, with a simple wrist device.

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Estimating blood pressure using Windkessel model on photoplethysmogram

Cited by 63 publications

References 7 publications

Advances in photoplethysmography: beyond arterial oxygen saturation

Advances in photoplethysmography: beyond arterial oxygen saturation

Feasibility Analysis for Estimation of Blood Pressure and Heart Rate using A Smart Eye Wear

Deep learning for prediction of cardiac indices from photoplethysmographic waveform: A virtual database approach

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