Assessment of pulse arrival time for arterial stiffness monitoring on body composition scales

Paliakaitė‬‬‬, Birutė; Daukantas, Saulius; Marozas, Vaidotas

doi:10.1016/j.compbiomed.2016.04.012

Cited by 10 publications

(4 citation statements)

References 31 publications

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“…The potential of PRV to be a surrogate of HRV is dependent on the peripheral blood flow, where the elasticity and stiffness of arteries plays a consequential role. In this regard, we utilized the concept of pulse arrival time (PAT), a marker of arterial stiffness, to highlight vascular alterations between the groups under two conditions [39,43]. The stroke group had lower (266 ± 7 ms vs. 289 ± 7 ms, p = 0.03) PAT values at rest compared to controls; this observation further highlights altered vascular behavior compared to controls 6.1 ± 4.9 years (mean ± SD) post-incident.…”

Section: Discussionmentioning

confidence: 99%

“…Time and frequency domains metrics from the two variables (HRV or PRV) were derived and compared during a rest and orthostatic challenge applied via the sit-to-stand test. Moreover, we utilize pulse arrival time (PAT), which is inversely related to arterial stiffness [39], for the assessment of the vascular tone of the two groups. Based on the observations in the literature, we hypothesized the observation of an impairment in the agreement between HRV and PRV in stroke survivors, especially during the stand phase of the sit-to-stand test.…”

Section: Introductionmentioning

confidence: 99%

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Relationship between Ischemic Stroke and Pulse Rate Variability as a Surrogate of Heart Rate Variability

et al. 2019

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Autonomic reflex ascertains cardiovascular homeostasis during standing. Impaired autonomic reflex could lead to dizziness and falls while standing; this is prevalent in stroke survivors. Pulse rate variability (PRV) has been utilized in the literature in lieu of heart rate variability (HRV) for ambulatory and portable monitoring of autonomic reflex predominantly in young, healthy individuals. Here, we compared the PRV with gold standard HRV for monitoring autonomic reflex in ischemic stroke survivors. Continuous blood pressure and electrocardiography were acquired from ischemic stroke survivors (64 ± 1 years) and age-matched controls (65 ± 2 years) during a 10-minute sit-to-stand test. Beat-by-beat heart period (represented by RR and peak-to-peak (PP) intervals), systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse arrival time (PAT), an indicator of arterial stiffness, were derived. Time and frequency domain HRV (from RR intervals) and PRV (from PP intervals) metrics were extracted. PAT was lower (248 ± 7 ms vs. 270 ± 8 ms, p < 0.05) suggesting higher arterial stiffness in stroke survivors compared to controls during standing. Further, compared to controls, the agreement between HRV and PRV was impaired in stroke survivors while standing. The study outcomes suggest that caution should be exercised when considering PRV as a surrogate of HRV for monitoring autonomic cardiovascular control while standing in stroke survivors.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationship between Ischemic Stroke and Pulse Rate Variability as a Surrogate of Heart Rate Variability

et al. 2019

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“…CARRE project has selected and tested a large number of representative personal sensors available in the market [50] and developed software aggregators to harvest data from vendor clouds via their provided APIs. Aggregators involve where needed novel work on advanced signal processing, for example; automatic analysis of electrocardiograms for the detection of atrial fibrillation episode [51]; processing of electrocardiographic and impedance plethysmographic signals acquired using modified body composition scales for the calculation of pulse arrival time, which is directly related to arterial stiffness [52]; a photoplethysmography based method for automatic detection of premature ventricular contractions [53].…”

Section: Personal Data Aggregationmentioning

confidence: 99%

Personalized Patient Empowerment and Shared Decision Support for Cardiorenal Disease and Comorbidities

Kaldoudi

2016

European Project Space on Intelligent Technologies, Software Engineering, Computer Vision, Graphics, Optics and Photonics

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The Chronic heart and kidney disease are serious and common amongst the world population. They often appear simultaneously and they can cause each other, while they share a multitude of underlying risk conditions, such as obesity, diabetes, and hypertension. To help tackle cardiorenal disease, the European Commission funded the CARRE interdisciplinary research consortium to compile a variety of personalized alerting, planning and educational services so that patients and professionals alike are empowered and can make shared informed decisions. CARRE project uses commonly available personal sensors, such as activity trackers, scales and personal health records, to collect information about the person, which is then projected against current medical knowledge to produce a personalized risk prediction model. This paper presents an overview of the project outcomes including breakthroughs in sensor technology, semantic technologies, visual analytics, and decision support services.

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“…Among them, Heart Rate Variability (HRV) is the most used parameter for the assessment of the complex dynamics underlying the cardiovascular control [5], [6]. Other measures, such as the Pulse Arrival Time (PAT), can provide information not only on the regulatory activity of the autonomic nervous system (ANS), but also on variations of blood pressure (BP) [7] and arterial stiffness [8]. The PAT is the time delay between the electrical depolarization of the heart left ventricle and the following time of arrival of the pressure wave at the body periphery [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Cardiac Pulse Arrival Time Series at Rest and during Physiological Stress

Barà

Pernice

Sparacino

et al. 2022

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

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The study of cardiovascular dynamics is pivotal in the prevention and monitoring of cardiovascular diseases. Pulse Arrival Time (PAT) series contain information concerning not only the dynamics of the Autonomic Nervous System (ANS), but of all the systems involved in the regulation of cardiovascular homeostasis. This study aims to highlight how indexes extracted from PAT series in time-, frequency-and information-domain allow to discriminate among different physiological conditions. Analyses were carried out on 76 young healthy subjects, at rest and during orthostatic or mental stress. Our results show that PAT indexes vary according to the ANS condition, and may thus be useful parameters for the classification of physiological stress.

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Assessment of pulse arrival time for arterial stiffness monitoring on body composition scales

Cited by 10 publications

References 31 publications

Relationship between Ischemic Stroke and Pulse Rate Variability as a Surrogate of Heart Rate Variability

Relationship between Ischemic Stroke and Pulse Rate Variability as a Surrogate of Heart Rate Variability

Personalized Patient Empowerment and Shared Decision Support for Cardiorenal Disease and Comorbidities

Analysis of Cardiac Pulse Arrival Time Series at Rest and during Physiological Stress

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