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Papers by Gregorio Andria

2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021

This paper explores the use of a common smartphone for measuring simultaneously both heartbeat in... more This paper explores the use of a common smartphone for measuring simultaneously both heartbeat intervals and respiratory cycles. The proposed technique uses the smartphone’s accelerometer to measure the seismocardiographic signal and the acceleration due to breathing movements. The measurement is carried out while the subject is laying down, with the smartphone placed on his/her xiphoid process. In the paper, processing algorithms are presented, that can be used to obtain the heartbeat and the respiratory intervals from the measured signals. As concrete examples of possible application, heartbeat intervals are used to derive Heart Rate Variability and, together with the respiratory signal, to derive a Respiratory Sinus Arrhythmia measure on eight healthy volunteers.

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2021

In this paper, a method to estimate the position and the entity of capacitive faults in coaxial c... more In this paper, a method to estimate the position and the entity of capacitive faults in coaxial cables based on the time domain reflectometry (TDR) is presented. A convolutional neural network (CNN) is used to analyze the reflectometric signals obtained from transmission lines containing multiple capacitive faults. The great quantity of data necessary for training the neural network was generated using a transmission line simulator. After the training procedure, the CNN was tested on both simulated and measured signals. The testing results prove that the neural network is capable to produce good estimates of the line characteristics, even when working with complex reflectometric signals.

2016 IEEE Metrology for Aerospace (MetroAeroSpace), 2016

This work deals with a useful joined application of Kalman filter and Kriging technique for a con... more This work deals with a useful joined application of Kalman filter and Kriging technique for a continuous and accurate environmental monitoring in a disaster scenario or generally in a critical event, necessary to assure an efficient and timely risk management. A suitable Decision Support Systems (DSS) is proposed to provide assistance for the "early warning" of a critical situation, so to improve the "first response" to the happened event. Using the proposed modelling techniques in data environmental analysis permits both the characterization and validation of all measured big data coming from a suitable Space-Aided Distributed Sensor System (SADSS). In particular, the proposed technique is able also to predict the values of the monitored environmental parameters, so it results a very useful analysis tool, especially when there are many missing ,erroneous or invalid data.

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016

This paper investigates the problem of optimally distributing the energy produced by a shared ren... more This paper investigates the problem of optimally distributing the energy produced by a shared renewable energy source among users, without relying on a centralized decision maker. We assume that each user is only allowed to communicate with his neighbors and buys energy from a producer under non-linear pricing. We formulate a quadratic programming problem aimed at ensuring a social welfare-optimal allocation of the shared resource. We propose a low-complexity distributed algorithm that relies on average consensus. We show the convergence of the proposed algorithm to the unique optimal solution of the resource allocation problem. We also provide numerical simulations demonstrating that the approach allows exploiting the potential of renewable energy sources' sharing to reduce users' energy consumption costs.

Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96)

Absirucf - This paper deals with an evaluation on using the Arithmetic Fourier transform (AFT) in... more Absirucf - This paper deals with an evaluation on using the Arithmetic Fourier transform (AFT) in fast and accurate measurement of analyzed !signal amplitude. The approach in the freqtiency domain lis preferable to that in the tinic domain, owing to its ability to give information ...

Ab st ra c t-The main purpose of this paper is to characterize an analyzer of ground level ozone ... more Ab st ra c t-The main purpose of this paper is to characterize an analyzer of ground level ozone based on the photometric UV method. Particular attention is devoted to the sampling phase with the aim of investigating the main variables influencing the measurement process. In this way it is possible to identify the best sampling configuration able to minimize the measurement uncertainty.

2011 IEEE International Symposium on Medical Measurements and Applications, 2011

The purpose of this study is to assess the effect of different noise distribution on medical imag... more The purpose of this study is to assess the effect of different noise distribution on medical images. In particular Computed Tomography (CT) and Magnetic Resonance (MR) images are analyzed because they represent the most used diagnostic techniques in radiology. First of all the statistical properties of noise that affects CT and MR images are investigated. Then a new parameter able

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013

ABSTRACT The main purpose of this work was to analyze the digital radiographic methodologies used... more ABSTRACT The main purpose of this work was to analyze the digital radiographic methodologies used in diagnostic investigation, in order to reduce radiation dose to patients by assuring a good quality of the images. To this end, the main parameters influencing the absorbed dose during radiographic exams were investigated and a new methodology for a suitable optimized protocol was proposed.

IEEE Transactions on Instrumentation and Measurement, 2014

IEEE Transactions on Instrumentation and Measurement, 2012

IEEE Transactions on Instrumentation and Measurement, 2009

Nuclear magnetic resonance imaging is a routine clinical system used for whole-body patient scann... more Nuclear magnetic resonance imaging is a routine clinical system used for whole-body patient scanning that provides 3-D images. Recent technological innovations have encouraged the use of this technology for noninvasive coronary, heart, and chest investigation or for research applications, but the image quality of this technique depends on several factors. Some parameters are linked to the apparatus designed to acquire the magnetic resonance image, whereas others can be controlled by the user. In this paper, the authors analyze the software-controlled magnetic-resonance-imaging parameters to reduce the health examination acquisition time by assuring a good quality of the images. This objective is of fundamental importance to both increase the number of clinical tests produced with this equipment and to reduce the radiation doses in the patients. For this purpose, the parameters that influence the time acquisition and the signal-to-noise ratio were investigated, and a software platform for optimizing the imaging acquisition time was developed.

IEEE Transactions on Instrumentation and Measurement, 2008

In this paper, the analysis of biomedical data characterizing motor activities of the limbs is ca... more In this paper, the analysis of biomedical data characterizing motor activities of the limbs is carried out with the aim of extracting useful information for evaluating the state of subjects affected by Parkinson's disease. Initially, a simple and inexpensive system that measures the force of the palmar grip has been presented; then, a suitable software protocol that is able to record, manage, and interpret the acquired data has been realized. Afterward, a first analysis in the time domain has led to the identification of some biomedical parameters characterizing motor activities of the limbs; the study of these parameters and the analysis of the correlations between the acquired data have permitted the development of suitable models describing the time behavior of the palmar grip. In this paper, the authors propose a more detailed study that evaluates the filtering, phase noise effects, and performance of different methods used to estimate the characteristic parameters of the palmar grip.

IEEE Transactions on Instrumentation and Measurement, 2008

This paper deals with the development and characterization of an innovative domestic heating syst... more This paper deals with the development and characterization of an innovative domestic heating system that is driven by a solar-assisted heat pump to increase system efficiency. A suitable online measurement system of overall observable quantities has been integrated in the plant to give accurate and updated measurements of all the variables that are of interest to the whole system. A more detailed analysis of the quantities that mainly influence system performance has been carried out, and a suitable mathematical model that is able to describe and control the behavior of the interesting phenomena has been developed. The amount of heating energy depends on the local weather conditions. In the thermal plant proposed here, there is a solar energy harvesting device; this kind of plant needs a highly sensitive control system because of the great sensitivity of solar-powered systems to climatic variations. The use of the proposed system allows monitoring and controlling of the heating conditions of domestic houses without high environmental impact and energy costs.

IEEE Transactions on Instrumentation and Measurement, 2007

2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021

This paper explores the use of a common smartphone for measuring simultaneously both heartbeat in... more This paper explores the use of a common smartphone for measuring simultaneously both heartbeat intervals and respiratory cycles. The proposed technique uses the smartphone’s accelerometer to measure the seismocardiographic signal and the acceleration due to breathing movements. The measurement is carried out while the subject is laying down, with the smartphone placed on his/her xiphoid process. In the paper, processing algorithms are presented, that can be used to obtain the heartbeat and the respiratory intervals from the measured signals. As concrete examples of possible application, heartbeat intervals are used to derive Heart Rate Variability and, together with the respiratory signal, to derive a Respiratory Sinus Arrhythmia measure on eight healthy volunteers.

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2021

In this paper, a method to estimate the position and the entity of capacitive faults in coaxial c... more In this paper, a method to estimate the position and the entity of capacitive faults in coaxial cables based on the time domain reflectometry (TDR) is presented. A convolutional neural network (CNN) is used to analyze the reflectometric signals obtained from transmission lines containing multiple capacitive faults. The great quantity of data necessary for training the neural network was generated using a transmission line simulator. After the training procedure, the CNN was tested on both simulated and measured signals. The testing results prove that the neural network is capable to produce good estimates of the line characteristics, even when working with complex reflectometric signals.

2016 IEEE Metrology for Aerospace (MetroAeroSpace), 2016

This work deals with a useful joined application of Kalman filter and Kriging technique for a con... more This work deals with a useful joined application of Kalman filter and Kriging technique for a continuous and accurate environmental monitoring in a disaster scenario or generally in a critical event, necessary to assure an efficient and timely risk management. A suitable Decision Support Systems (DSS) is proposed to provide assistance for the "early warning" of a critical situation, so to improve the "first response" to the happened event. Using the proposed modelling techniques in data environmental analysis permits both the characterization and validation of all measured big data coming from a suitable Space-Aided Distributed Sensor System (SADSS). In particular, the proposed technique is able also to predict the values of the monitored environmental parameters, so it results a very useful analysis tool, especially when there are many missing ,erroneous or invalid data.

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016

This paper investigates the problem of optimally distributing the energy produced by a shared ren... more This paper investigates the problem of optimally distributing the energy produced by a shared renewable energy source among users, without relying on a centralized decision maker. We assume that each user is only allowed to communicate with his neighbors and buys energy from a producer under non-linear pricing. We formulate a quadratic programming problem aimed at ensuring a social welfare-optimal allocation of the shared resource. We propose a low-complexity distributed algorithm that relies on average consensus. We show the convergence of the proposed algorithm to the unique optimal solution of the resource allocation problem. We also provide numerical simulations demonstrating that the approach allows exploiting the potential of renewable energy sources' sharing to reduce users' energy consumption costs.

Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96)

Absirucf - This paper deals with an evaluation on using the Arithmetic Fourier transform (AFT) in... more Absirucf - This paper deals with an evaluation on using the Arithmetic Fourier transform (AFT) in fast and accurate measurement of analyzed !signal amplitude. The approach in the freqtiency domain lis preferable to that in the tinic domain, owing to its ability to give information ...

Ab st ra c t-The main purpose of this paper is to characterize an analyzer of ground level ozone ... more Ab st ra c t-The main purpose of this paper is to characterize an analyzer of ground level ozone based on the photometric UV method. Particular attention is devoted to the sampling phase with the aim of investigating the main variables influencing the measurement process. In this way it is possible to identify the best sampling configuration able to minimize the measurement uncertainty.

2011 IEEE International Symposium on Medical Measurements and Applications, 2011

The purpose of this study is to assess the effect of different noise distribution on medical imag... more The purpose of this study is to assess the effect of different noise distribution on medical images. In particular Computed Tomography (CT) and Magnetic Resonance (MR) images are analyzed because they represent the most used diagnostic techniques in radiology. First of all the statistical properties of noise that affects CT and MR images are investigated. Then a new parameter able

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013

ABSTRACT The main purpose of this work was to analyze the digital radiographic methodologies used... more ABSTRACT The main purpose of this work was to analyze the digital radiographic methodologies used in diagnostic investigation, in order to reduce radiation dose to patients by assuring a good quality of the images. To this end, the main parameters influencing the absorbed dose during radiographic exams were investigated and a new methodology for a suitable optimized protocol was proposed.

IEEE Transactions on Instrumentation and Measurement, 2014

IEEE Transactions on Instrumentation and Measurement, 2012

IEEE Transactions on Instrumentation and Measurement, 2009

Nuclear magnetic resonance imaging is a routine clinical system used for whole-body patient scann... more Nuclear magnetic resonance imaging is a routine clinical system used for whole-body patient scanning that provides 3-D images. Recent technological innovations have encouraged the use of this technology for noninvasive coronary, heart, and chest investigation or for research applications, but the image quality of this technique depends on several factors. Some parameters are linked to the apparatus designed to acquire the magnetic resonance image, whereas others can be controlled by the user. In this paper, the authors analyze the software-controlled magnetic-resonance-imaging parameters to reduce the health examination acquisition time by assuring a good quality of the images. This objective is of fundamental importance to both increase the number of clinical tests produced with this equipment and to reduce the radiation doses in the patients. For this purpose, the parameters that influence the time acquisition and the signal-to-noise ratio were investigated, and a software platform for optimizing the imaging acquisition time was developed.

IEEE Transactions on Instrumentation and Measurement, 2008

In this paper, the analysis of biomedical data characterizing motor activities of the limbs is ca... more In this paper, the analysis of biomedical data characterizing motor activities of the limbs is carried out with the aim of extracting useful information for evaluating the state of subjects affected by Parkinson's disease. Initially, a simple and inexpensive system that measures the force of the palmar grip has been presented; then, a suitable software protocol that is able to record, manage, and interpret the acquired data has been realized. Afterward, a first analysis in the time domain has led to the identification of some biomedical parameters characterizing motor activities of the limbs; the study of these parameters and the analysis of the correlations between the acquired data have permitted the development of suitable models describing the time behavior of the palmar grip. In this paper, the authors propose a more detailed study that evaluates the filtering, phase noise effects, and performance of different methods used to estimate the characteristic parameters of the palmar grip.

IEEE Transactions on Instrumentation and Measurement, 2008

This paper deals with the development and characterization of an innovative domestic heating syst... more This paper deals with the development and characterization of an innovative domestic heating system that is driven by a solar-assisted heat pump to increase system efficiency. A suitable online measurement system of overall observable quantities has been integrated in the plant to give accurate and updated measurements of all the variables that are of interest to the whole system. A more detailed analysis of the quantities that mainly influence system performance has been carried out, and a suitable mathematical model that is able to describe and control the behavior of the interesting phenomena has been developed. The amount of heating energy depends on the local weather conditions. In the thermal plant proposed here, there is a solar energy harvesting device; this kind of plant needs a highly sensitive control system because of the great sensitivity of solar-powered systems to climatic variations. The use of the proposed system allows monitoring and controlling of the heating conditions of domestic houses without high environmental impact and energy costs.

IEEE Transactions on Instrumentation and Measurement, 2007