0000000000210381

AUTHOR

Gabriele Volpes

showing 8 related works from this author

A silicon photomultiplier-based analog front-end for DC component rejection and pulse wave recording in photoplethysmographic applications

2022

The growing attention towards healthcare and the constant technological innovations in the field of semiconductor components have allowed a widespread availability of smaller devices, suitable to be worn and able to continuously acquire physiological signals. Wearable devices are, however, more prone to yield signals corrupted by artifacts caused by movement. This issue is particularly relevant in photoplethysmographic (PPG) applications where also, to exploit the whole dynamic range of the acquisition device, the DC component of the signal should be removed and the AC component amplified. In this context, we have designed and realized an analog front-end (AFE) suitable to be integrated wit…

photoplethysmography (PPG)bio-sensing applicationSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaAnalog front-end (AFE)wearable health devices (WHD)silicon photomultiplier (SiPM)Settore ING-INF/01 - Elettronica2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Feasibility of conductive embroidered threads for I 2 C sensors in microcontroller-based wearable electronics

2023

Abstract In recent years, the importance of flexible and textile electronics in the field of wearable devices has continuously increased, as they are expected to replace conventional wires that exhibit limited resistance to the mechanical stress occurring in on-body applications. Wearable health devices (WHDs) can provide physiological information about various body parts and employ distributed sensor networks. Among the sensors typically integrated within WHDs, those based on the I2C communication protocol are very common and exploit signals transmitted at frequencies up to hundreds of kilohertz. Therefore, robust communication is required to guarantee a proper transmission of the signal a…

textile electronics conductive threads I2C communication protocol wearable health devices (WHDs) photoplethysmography (PPG)Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaElectrical and Electronic EngineeringSettore ING-INF/01 - ElettronicaElectronic Optical and Magnetic MaterialsFlexible and Printed Electronics
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A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography

2022

Nowadays, the ever-growing interest to health and quality of life of individuals and the advancements in electronic devices technology are pushing the development of portable and wearable biomedical devices able to pursue a minimally invasive monitoring of physiological parameters in daily-life conditions. Such devices can now carry out a real-time assessment of the subjects’ overall health status and possibly even detect ongoing diseases. In this context, we have designed and implemented a multisensor portable system able to perform synchronous real-time acquisitions of electrocardiographic (ECG), photoplethysmographic (PPG) and airflow breathing signals. We investigated cardiorespiratory …

electrocardiography (ECG)photoplethysmography (PPG)Granger causality.breathing signalPortable biomedical deviceSettore ING-INF/06 - Bioingegneria Elettronica E Informaticacardiorespiratory interactionSettore ING-INF/01 - Elettronica2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability

2021

Extensive efforts have been recently devoted to implement fast and reliable algorithms capable of assessing the physiological response of the organism to physiological stress. In this study, we propose the comparison between model-free and linear parametric methods as regards their ability to detect alterations in the dynamics and in the complexity of cardiovascular and respiratory variability evoked by postural and mental stress. Dynamic entropy (DE) and information storage (IS) measures were calculated on three physiological time-series, i.e. heart period, respiratory volume and systolic arterial pressure, on 61 healthy subjects monitored in resting conditions as well as during head-up ti…

Dynamic entropylinear parametric estimationHeartCardiovascular Systeminformation storagesystolic arterial pressureHeart RatePregnancyStress PhysiologicalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFeasibility StudiesHumansFemaleheart rate variability (HRV)Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Low-invasive multisensor real-time acquisition system for the assessment of cardiorespiratory and skin conductance parameters

2022

In recent years, the attention to the health and comfort of the individual, together with the electronic miniaturization progress, have led to an increased interest in the development of biomedical devices that are able to acquire a multitude of biomedical signals. Such devices should be wearable and comfortable during daily use, to be thus suitable for continuously monitoring psychophysical health states. In this context, we have designed and realized a portable biomedical device capable of real-time acquisition of electrocardiographic (ECG), photoplethysmographic (PPG), breathing and galvanic skin response (GSR) signals, for a noninvasive monitoring of multiple physiological parameters. T…

electrocardiography (ECG)photoplethysmography (PPG)Portable biomedical deviceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaInternet of Medical Things (IoMT)Settore ING-INF/01 - Elettronicagalvanic skin response (GSR)2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)
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Feasibility of Ultra-Short-Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and during Stress via Time-Domain and Entro…

2022

Heart Rate Variability (HRV) and Blood Pressure Variability (BPV) are widely employed tools for characterizing the complex behavior of cardiovascular dynamics. Usually, HRV and BPV analyses are carried out through short-term (ST) measurements, which exploit ~five-minute-long recordings. Recent research efforts are focused on reducing the time series length, assessing whether and to what extent Ultra-Short-Term (UST) analysis is capable of extracting information about cardiovascular variability from very short recordings. In this work, we compare ST and UST measures computed on electrocardiographic R-R intervals and systolic arterial pressure time series obtained at rest and during both post…

electrocardiography (ECG)Short-Term (ST) cardiovascular variabilityBlood PressureHeart Rate Variability (HRV)Settore ING-INF/01 - ElettronicaBiochemistryAtomic and Molecular Physics and OpticsHeart Rate Variability (HRV); Short-Term (ST) cardiovascular variability; Ultra-Short-Term (UST) HRV; electrocardiography (ECG); Systolic Arterial Pressure (SAP); entropy; conditional entropy; complexity; time-series analysisUltra-Short- Term (UST) HRVAnalytical Chemistryconditional entropyElectrocardiographyHeart RateSettore ING-INF/06 - Bioingegneria Elettronica E Informaticatime-series analysisArterial PressureElectrical and Electronic EngineeringentropycomplexitySystolic Arterial Pressure (SAP)InstrumentationSensors; Volume 22; Issue 23; Pages: 9149
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Feasibility of Ultra-short Term Complexity Analysis of Heart Rate Variability in Resting State and During Orthostatic Stress

2022

In this work, we study ultra-short term (UST) complexity of Heart Rate Variability (HRV) and its agreement with analysis of standard short-term (ST) HRV recordings obtained at rest and during orthostatic stress. Conditional Entropy (CE) measures have been computed using both a linear Gaussian approximation and a more accurate model-free approach based on nearest neighbors. The agreement between UST and ST indices has been compared via statistical tests and correlation analysis, suggesting the feasibility of exploiting faster algorithms and shorter time series for detecting changes in cardiovascular control during various states.

Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaTime series analysis Stochastic processes Complexity theory Heart rate variability StressSettore ING-INF/01 - Elettronica2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
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Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements

2023

The increasing interest in innovative solutions for health and physiological monitoring has recently fostered the development of smaller biomedical devices. These devices are capable of recording an increasingly large number of biosignals simultaneously, while maximizing the user’s comfort. In this study, we have designed and realized a novel wearable multisensor ring-shaped probe that enables synchronous, real-time acquisition of photoplethysmographic (PPG) and galvanic skin response (GSR) signals. The device integrates both the PPG and GSR sensors onto a single probe that can be easily placed on the finger, thereby minimizing the device footprint and overall size. The system enables the e…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniClinical BiochemistryBiomedical Engineeringoxygen saturation (SpO2)General Medicinewearable health devices (WHD); photoplethysmography (PPG); galvanic skin response (GSR); oxygen saturation (SpO<sub>2</sub>); biomedical devicesSettore ING-INF/01 - ElettronicaAnalytical Chemistryphotoplethysmography (PPG)Settore ING-INF/06 - Bioingegneria Elettronica E Informaticabiomedical deviceswearable health devices (WHD)InstrumentationEngineering (miscellaneous)Biotechnologygalvanic skin response (GSR)
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