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Riccardo Pernice
University of Palermo
63Publications
9H-index
214Citations
Publications 63
Newest
#1Ivan Kotiuchyi (National Technical University)
#2Ivan Seleznov (National Technical University)H-Index: 1
Last.Anton Popov (National Technical University)H-Index: 3
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In this research, the study of functional connectivity between sources of electroencephalogram (EEG) activity assessed for different classes (well before seizure, preictal and post-ictal) was performed. EEG recordings were acquired from 12 subjects with focal epilepsy. Then, ten common spatial patterns (CSP) were obtained for EEG segments describing 95% of Riemannian distance between pairs of classes, followed by estimation of multivariate autoregressive (MVAR) models’ coefficients. The MVAR mod...
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#1G. AcciariH-Index: 6
#2Gabriele AdamoH-Index: 10
Last.Fabio ViolaH-Index: 16
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The sustainable development of our planet is considerably related to a relevant reduction of CO2 global emissions, with building consumption contributing more than 40%. In this scenario, new technological conceptions, such as building-integrated photovoltaic technology, emerged in order to satisfy the requirements of sustainability imposed by the European Union. Therefore, the aim of this work is to provide a technical and economical comparison of the performances of different vertical-mounted i...
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#1Riccardo Pernice (University of Palermo)H-Index: 9
#2Luca Faes (University of Palermo)H-Index: 33
Last.Volodymyr KharytonovH-Index: 2
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Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Luca Faes (University of Palermo)H-Index: 33
#2Jana Krohova (Comenius University in Bratislava)H-Index: 5
Last.Michal Javorka (Comenius University in Bratislava)H-Index: 20
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We present a new method to quantify in the frequency domain the strength of directed interactions between linear stochastic processes. This issue is traditionally addressed by the directed coherence (DC), a popular causality measure derived from the spectral representation of vector autoregressive (AR) processes. Here, to overcome intrinsic limitations of the DC when it needs to be objectively quantified within specific frequency bands, we propose an approach based on spectral decomposition, whi...
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#1Riccardo Pernice (University of Palermo)H-Index: 9
#2Antonino Parisi (University of Palermo)H-Index: 11
Last.Alessandro Busacca (University of Palermo)H-Index: 17
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In this work, an electronic portable combo system able to synchronously acquire multiple signals, e.g. electrocardiographic (ECG), photoplethysmographic (PPG) and breathing waveforms, is presented. The realized system is also capable of showing in real time some physiological parameters which can be used for assessing health/stress status of the volunteer, such as heart rate and breathing frequency and their trends over time. Thanks to the use of non-invasive PPG probes, of batteries as power su...
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#1Riccardo Pernice (University of Palermo)H-Index: 9
#2Giandomenico Nollo (University of Trento)H-Index: 34
Last.Luca Faes (University of Palermo)H-Index: 33
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The development of connected health technologies for the continuous monitoring of the psychophysical state of individuals performing daily life activities requires the aggregation of non-intrusive sensors and the availability of methods and algorithms for extracting the relevant physiological information. The present study proposes an integrated approach for the objective assessment of mental stress which combines wirelessly connected low invasive biosensors with multivariate physiological time ...
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Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Riccardo Pernice (University of Palermo)H-Index: 9
#2Matteo Zanetti (University of Trento)H-Index: 3
Last.Luca Faes (University of Palermo)H-Index: 33
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In this work, we analyze brain-heart interactions during different mental states computing mutual information (MI) between the dynamic activity of different physiological systems. In 18 healthy subjects monitored in a relaxed resting state and during a mental arithmetic and a serious game task, multichannel EEG, one lead ECG, respiration and blood volume pulse were collected via wireless non-invasive biosensors. From these signals, synchronous 300-second time series were extracted measuring brai...
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Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Riccardo Pernice (University of Palermo)H-Index: 9
#2Michal Javorka (Comenius University in Bratislava)H-Index: 20
Last.Luca Faes (University of Palermo)H-Index: 33
view all 7 authors...
In this work, we present the feasibility to use a simpler methodological approach for the assessment of the short-term complexity of Heart Rate Variability (HRV). Specifically, we propose to exploit Pulse Rate Variability (PRV) recorded through photoplethysmography in place of HRV measured from the ECG, and to compute complexity via a linear Gaussian approximation in place of the standard model-free methods (e.g., nearest neighbor entropy estimates) usually applied to HRV. Linear PRV-based and m...
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#1Luca FaesH-Index: 33
Last.Pedro Bernaola-GalvánH-Index: 26
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Despite the widespread diffusion of nonlinear methods for heart rate variability (HRV) analysis, the presence and the extent to which nonlinear dynamics contribute to short-term HRV is still controversial. This work aims at testing the hypothesis that different types of nonlinearity can be observed in HRV depending on the method adopted and on the physiopathological state. Two entropy-based measures of time series complexity (normalized complexity index, NCI) and regularity (information storage,...
#1Riccardo Pernice (University of Palermo)H-Index: 9
#2Michal Javorka (Comenius University in Bratislava)H-Index: 20
Last.Ieee MemberH-Index: 1
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Heart rate variability (HRV) analysis represents an important tool for the characterization of complex cardiovascular control. HRV indexes are usually calculated from electrocardiographic (ECG) recordings after measuring the time duration between consecutive R peaks, and this is considered the gold standard. An alternative method consists of assessing the pulse rate variability (PRV) from signals acquired through photoplethysmography, a technique also employed for the continuous noninvasive moni...
7 CitationsSource
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