Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment

Perpetuini, David; Chiarelli, Antonio Maria; Maddiona, Lidia; Rinella, Sergio; Bianco, Francesco; Bucciarelli, Valentina; Gallina, Sabina; Perciavalle, Vincenzo; Vinciguerra, Vincenzo; Fallica, Giorgio

doi:10.3390/s19245570

Cited by 20 publications

(19 citation statements)

References 39 publications

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“…Photoplethysmographic data were acquired with a home-made multi-channel system [34][35][36] ( Figure 2a) equipped with 7 PPG probes. Each probe was composed of a light emitting diode at 940 nm of wavelength (SMC940 LED, Roithner Laser Technik, Vienna, Austria) and a photodetector based on large area n-on-p silicon photomultiplier (SiPM) [37,38] produced at STMicroelectronics (Catania, Italy).…”

Section: Photoplethysmographic (Ppg) and Electrocardiographic (Ecg) Rmentioning

confidence: 99%

Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning Approach

et al. 2020

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Cardiovascular disease is a leading cause of death. Several markers have been proposed to predict cardiovascular morbidity. The ankle-brachial index (ABI) marker is defined as the ratio between the ankle and the arm systolic blood pressures, and it is generally assessed through sphygmomanometers. An alternative tool for cardiovascular status assessment is Photoplethysmography (PPG). PPG is a non-invasive optical technique that measures volumetric blood changes induced by pulse pressure propagation within arteries. However, PPG does not provide absolute pressure estimation, making assessment of cardiovascular status less direct. The capability of a multivariate data-driven approach to predict ABI from peculiar PPG features was investigated here. ABI was measured using a commercial instrument (Enverdis Vascular Explorer, VE-ABI), and it was then used for a General Linear Model estimation of ABI from multi-site PPG in a supervised learning framework (PPG-ABI). A Receiver Operating Characteristic (ROC) analysis allowed to investigate the capability of PPG-ABI to discriminate cardiovascular impairment as defined by VE-ABI. Findings suggested that ABI can be estimated form PPG (r = 0.79) and can identify pathological cardiovascular status (AUC = 0.85). The advantages of PPG are simplicity, speed and operator-independency, allowing extensive screening of cardiovascular status and associated cardiovascular risks.

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Section: Photoplethysmographic (Ppg) and Electrocardiographic (Ecg) Rmentioning

confidence: 99%

Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning Approach

et al. 2020

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“…As shown in the figure, during the ECW epochs, the calculated spectral entropy values were within the defined thresholds. It should be noted here that the developed system was validated based on visual inspection of the PPG signal, however, further validation studies are necessary to compare our system with a gold standard such as ECG [ 8 , 49 ].…”

Section: Resultsmentioning

confidence: 99%

“…Sensors 2020, 20, x FOR PEER REVIEW 14 of 17 the developed system was validated based on visual inspection of the PPG signal, however, further validation studies are necessary to compare our system with a gold standard such as ECG [8,49].…”

Section: Real-time Heart Rate Monitoring Algorithmmentioning

confidence: 99%

Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo

Youssef

Berckmans

Norton

2020

Sensors

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The chicken embryo is a widely used experimental animal model in many studies, including in the field of developmental biology, of the physiological responses and adaptation to altered environments, and for cancer and neurobiology research. The embryonic heart rate is an important physiological variable used as an index reflecting the embryo’s natural activity and is considered one of the most difficult parameters to measure. An acceptable measurement technique of embryonic heart rate should provide a reliable cardiac signal quality while maintaining adequate gas exchange through the eggshell during the incubation and embryonic developmental period. In this paper, we present a detailed design and methodology for a non-invasive photoplethysmography (PPG)-based prototype (Egg-PPG) for real-time and continuous monitoring of embryonic heart rate during incubation. An automatic embryonic cardiac wave detection algorithm, based on normalised spectral entropy, is described. The developed algorithm successfully estimated the embryonic heart rate with 98.7% accuracy. We believe that the system presented in this paper is a promising solution for non-invasive, real-time monitoring of the embryonic cardiac signal. The proposed system can be used in both experimental studies (e.g., developmental embryology and cardiovascular research) and in industrial incubation applications.

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“…The proposed system for monitoring the JVP waveform is a viable alternative to the non-invasive methodologies that are currently under investigation but that still require the presence of a qualified healthcare operator to be carried out, such as using a photoplethysmography imaging system or a microwave sensor, or alternatively via force-coupled single crystal ultrasound [ 33 , 34 , 35 , 36 , 37 ]. Between these methodologies, the photoplethysmography system has seen the greatest advancement in this field by combining multi-site acquisition techniques and machine learning approaches to improve reliability and effectiveness in the assessment of cardiovascular risk [ 38 , 39 ].…”

Section: Discussionmentioning

confidence: 99%

Plethysmography System to Monitor the Jugular Venous Pulse: A Feasibility Study

et al. 2021

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Cerebral venous outflow is investigated in the diagnosis of heart failure through the monitoring of jugular venous pulse, an indicator to assess cardiovascular diseases. The jugular venous pulse is a weak signal stemming from the lying internal jugular vein and often invasive methodologies requiring surgery are mandatory to detect it. Jugular venous pulse can also be extrapolated via the ultrasound technique, but it requires a qualified healthcare operator to perform the examination. In this work, a wireless, user-friendly, wearable device for plethysmography is developed to investigate the possibility of monitoring the jugular venous pulse non-invasively. The proposed device can monitor the jugular venous pulse and the electrocardiogram synchronously. To study the feasibility of using the proposed device to detect physiological variables, several measurements were carried out on healthy subjects by considering three different postures: supine, sitting, and upright. Data acquired in the experiment were properly filtered to highlight the cardiac oscillation and remove the breathing contribution, which causes a considerable shift in the amplitude of signals. To evaluate the proper functioning of the wearable device for plethysmography, a comparison with the ultrasound technique was carried out. As a satisfactory result, the acquired signals resemble the typical jugular venous pulse waveforms found in literature.

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Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment

Cited by 20 publications

References 39 publications

Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning Approach

Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning Approach

Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo

Plethysmography System to Monitor the Jugular Venous Pulse: A Feasibility Study

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