Physiological parameters measurements in a cardiac cycle via a combo PPG-ECG system

Oreggia, Davide; Guarino, Stefania; Parisi, Antonino; Pernice, Riccardo; Adamo, Gabriele; Mistretta, Leonardo; Buono, Paolo; Fallica, Giorgio; Ferla, G.; Cino, Alfonso Carmelo; Giaconia, C.; Busacca, Alessandro

doi:10.1109/aeit.2015.7415214

Cited by 24 publications

(14 citation statements)

References 19 publications

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“…Parameters like heart pulse rate, respiratory rate, tissue perfusion and some vascular and cardiac disorders can be monitored via PPG. This signal has a great potential for assessing vascular disease, especially for the evaluation of vascular effects of aging, hypertension and atherosclerosis, providing also information on arterial stiffness and elasticity [20]. Use of PPG may be envisaged also in areas different from the medical field.…”

Section: The Photoplethysmography System (Bi-p 2 Rs): a Brief Overviewmentioning

confidence: 99%

Advanced Bio-Inspired System for Noninvasive Cuff-Less Blood Pressure Estimation from Physiological Signal Analysis

et al. 2018

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Blood Pressure (BP) is one of the most important physiological indicators that provides useful information in the field of health-care monitoring. Blood pressure may be measured by both invasive and non-invasive methods. A novel algorithmic approach is presented to estimate systolic and diastolic blood pressure accurately in a way that does not require any explicit user calibration, i.e., it is non-invasive and cuff-less. The approach herein described can be applied in a medical device, as well as in commercial mobile smartphones by an ad hoc developed software based on the proposed algorithm. The authors propose a system suitable for blood pressure estimation based on the PhotoPlethysmoGraphy (PPG) physiological signal sampling time-series. Photoplethysmography is a simple optical technique that can be used to detect blood volume changes in the microvascular bed of tissue. It is non-invasive since it takes measurements at the skin surface. In this paper, the authors present an easy and smart method to measure BP through careful neural and mathematical analysis of the PPG signals. The PPG data are processed with an ad hoc bio-inspired mathematical model that estimates systolic and diastolic pressure values through an innovative analysis of the collected physiological data. We compared our results with those measured using a classical cuff-based blood pressure measuring device with encouraging results of about 97% accuracy.

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Section: The Photoplethysmography System (Bi-p 2 Rs): a Brief Overviewmentioning

confidence: 99%

Advanced Bio-Inspired System for Noninvasive Cuff-Less Blood Pressure Estimation from Physiological Signal Analysis

et al. 2018

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“…Characteristics of PPG waveforms such as amplitude, peak-peak time, and dicrotic notch were used for blood pressure estimation [23][24][25][26][27], hypertension assessment [28], and cardiovascular risk evaluation [29]. Since noise-free signals are very important when using the feature points of a biosignal, silicon photomultipliers (SiPMs) were adopted instead of the conventional photodiode (PD) [30] to obtain clear PPG waveforms. In addition, there have been several approaches to remove the distortion and artifacts of ECG and PPG signals using various techniques, such as pattern recognition [31] and neural networks [32].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Brachial–Ankle Pulse Wave Velocity and Heart–Finger Pulse Wave Velocity in Korean Adults

Cho

Baek

2020

Sensors

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Arterial stiffness is considered an index of vascular aging. The brachial–ankle pulse wave velocity (baPWV) method is widely used because of its proven effectiveness; and the pulse wave velocity measurement method using both electrocardiogram (ECG) and photoplethysmogram (PPG) is actively being studied due to the convenience of measurement and the possibility of miniaturization. The aim of this study was to evaluate and compare the effects of age and gender in Korean adults using both the baPWV method and the PWV method with ECG and finger PPG (heart–finger PWV). The measurements have been carried out for 185 healthy subjects of Korean adults, and the results showed that the baPWV was highly correlated with age in both genders (r = 0.94 for both males and females). However, the correlation values in heart–finger PWV measurement were significantly lower than those of baPWV (r = 0.37 for males and r = 0.71 for females). Although the heart–finger PWV method is suitable for mobile applications because it can be easily miniaturized while maintaining its signal quality, these results show that the heart–finger PWV method is not as effective as baPWV at evaluating the arterial stiffness.

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“…Several physiological parameters like heart pulse, respiratory rate, tissue perfusion and some vascular and cardiac disorders can be easily monitored via PPG. This makes PPG signals very appealing to assess vascular diseases, especially the effects of vascular aging, hypertension and atherosclerosis, providing also information on arterial stiffness and elasticity [ 3 ].…”

Section: Ppg Physiological Analysis and Recognition: Description Amentioning

confidence: 99%

“…The monitoring of dynamic changes of physiological and biological parameters through a non-invasive integrated systems can play an important role in a wide variety of applications including healthcare and sports training fields [ 1 , 2 , 3 ]. Among these, hemodynamic parameters (e.g., heart rate, tissue perfusion) obtained through PhotoPlethysmoGraphy (PPG) measurements and heart electrical activity (ECG) are certainly investigated a lot due to their impact on cardiovascular diseases [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

An Advanced Bio-Inspired PhotoPlethysmoGraphy (PPG) and ECG Pattern Recognition System for Medical Assessment

Rundo

Conoci

Ortis

et al. 2018

Sensors

124

115

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Physiological signals are widely used to perform medical assessment for monitoring an extensive range of pathologies, usually related to cardio-vascular diseases. Among these, both PhotoPlethysmoGraphy (PPG) and Electrocardiography (ECG) signals are those more employed. PPG signals are an emerging non-invasive measurement technique used to study blood volume pulsations through the detection and analysis of the back-scattered optical radiation coming from the skin. ECG is the process of recording the electrical activity of the heart over a period of time using electrodes placed on the skin. In the present paper we propose a physiological ECG/PPG “combo” pipeline using an innovative bio-inspired nonlinear system based on a reaction-diffusion mathematical model, implemented by means of the Cellular Neural Network (CNN) methodology, to filter PPG signal by assigning a recognition score to the waveforms in the time series. The resulting “clean” PPG signal exempts from distortion and artifacts is used to validate for diagnostic purpose an EGC signal simultaneously detected for a same patient. The multisite combo PPG-ECG system proposed in this work overpasses the limitations of the state of the art in this field providing a reliable system for assessing the above-mentioned physiological parameters and their monitoring over time for robust medical assessment. The proposed system has been validated and the results confirmed the robustness of the proposed approach.

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Physiological parameters measurements in a cardiac cycle via a combo PPG-ECG system

Cited by 24 publications

References 19 publications

Advanced Bio-Inspired System for Noninvasive Cuff-Less Blood Pressure Estimation from Physiological Signal Analysis

Advanced Bio-Inspired System for Noninvasive Cuff-Less Blood Pressure Estimation from Physiological Signal Analysis

A Comparative Study of Brachial–Ankle Pulse Wave Velocity and Heart–Finger Pulse Wave Velocity in Korean Adults

An Advanced Bio-Inspired PhotoPlethysmoGraphy (PPG) and ECG Pattern Recognition System for Medical Assessment

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