Gloria CosoliUniversità Telematica "E-Campus" · Faculty of Engineering
Gloria Cosoli
PhD
About
88
Publications
16,760
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Introduction
Postdoctoral Research Fellow in Mechanical Engineering: thermal measurements and numerical simulations; measurements of electrical impedance; concrete monitoring by means of EIS; measurement of physiological parameters by means of non-invasive methods (also without contact)
Additional affiliations
August 2021 - present
Università degli Studi eCampus
Position
- Professor (Associate)
Description
- Professor of the course "Misure Meccaniche e Termiche " ("Mechanical and Thermal Measurements) for the students of Information and Automation Engineering (INIA)
Education
November 2011 - July 2013
November 2008 - July 2011
Publications
Publications (88)
Structural Health Monitoring (SHM) and early warning systems (EWSs) play a pivotal role in enhancing seismic resilience for both buildings and occupants. This paper introduces a monitoring platform that collects electrical impedance data from scaled concrete beams undergoing load and accelerated degradation tests. Artificial Intelligence (AI) algor...
Structural Health monitoring (SHM) strategies can play a pivotal role in the perspective of enhancing structures and infrastructures life cycle and maintenance operations. A plethora of sensors and technologies can be employed in this field; in a seismic context, vibrational tests are particularly relevant, being able to give an insight on the dyna...
Search and Rescue (SAR) operations in remote and hazardous environments are crucial for the rapid and accurate location of survivors, with a timely response being essential during the “golden hours” following a disaster. Recent technological advancements offer innovative solutions to enhance SAR efforts. This study aims to investigate the use of La...
Heart Rate (HR), Heart Rate Variability (HRV), and cardiac time intervals are clinically relevant parameters, which can be assessed from the analysis of electrocardiogram (ECG). Some aspects of cardiac activity can be investigated also by means of different noninvasive and non-intrusive measurement methods, such as phonocardiograph (PCG), photoplet...
In a seismic context, it is fundamental to deploy distributed sensor networks for Structural Health Monitoring (SHM). Indeed, regularly gathering data from a structure/infrastructure gives insight on the structural health status, and Artificial Intelligence (AI) technologies can help in exploiting this information to generate early warnings useful...
Wearable sensors can be exploited for the indirect estimation of physiological parameters, such as Breathing Rate (BR). Indeed, BR is a significative quantity for both general health status monitoring and diagnostic purposes; however, standard methods for its assessment are often uncomfortable and mainly used for punctual (or brief, anyway) measure...
Modal analysis is an effective tool in the context of Structural Health Monitoring (SHM) since the dynamic characteristics of cement-based structures reflect the structural health status of the material itself. The authors consider increasing level load tests on concrete beams and propose a methodology for damage identification relying on the compu...
Personal comfort modeling is considered the most promising solution for indoor thermal comfort management in buildings. The use of wearable sensors is investigated for the real-time measurement of physiological signals to train comfort models for buildings monitoring and control. To achieve the required reliability, different uncertainty sources sh...
Mortar specimens containing conductive additions (i.e., biochar and recycled carbon fibres – both alone and together, and graphene nanoplatelets) were characterized from a metrological point of view. Their piezoresistive capability was evaluated, exploiting the 4-electrode Wenner’s method to measure electrical impedance in alternating current (AC);...
Virtual sensors are pivotal to provide measures that would be extremely hard to make through the use of traditional hard sensors. This paper discusses an artificial intelligence-based approach for measuring temperature of the material being processed in a high-temperature microwave kiln. Preliminary results are reported for calcined clays, with tem...
The development of personal comfort models (PCMs) is pivotal for the optimization of both the occupants’ comfort and the building energy consumption; wearable sensors assessing physiological parameters can be exploited for this aim. This paper considers commercial and laboratory prototypes of wearable sensors and aims at evaluating the propagation...
The aim of this paper is to present a monitoring
system for the built environment based on electrical impedance
sensors, together with the development of an early warning
system to support decision-making processes in a seismic
context. In particular, preliminary data were collected on
mortar specimens embedding stainless-steel electrodes for the
p...
The assessment of the occupants’ thermal sensation (TS) in a living environment is fundamental to enhance well-being and optimize building energy consumption. Machine Learning (ML)-based approaches can be adopted for TS prediction exploiting physiological and environmental parameters, but identifying an optimal features subset is fundamental. This...
Biochar (BCH) and recycled carbon fibres (RCF) were used as carbonaceous additions in low-resistive mortars/concretes. Their effects on mechanical, electrical, and durability properties were investigated. Tests were performed both during curing and accelerated degradation. The combined use of RCF and BCH decreased the electrical impedance of cement...
Wearable devices are rapidly spreading in many different application fields and with diverse measurement accuracy targets. However, data on their metrological characterization are very often missing or obtained with non-standardized methods, hence resulting in barely comparable results. The aim of this review paper is to discuss the existing method...
Wearable devices are rapidly spreading thanks to multiple advantages. Their use is expanding in several fields, from medicine to personal assessment and sport applications. At present, more and more wearable devices acquire an electrocardiographic (ECG) signal (in correspondence to the wrist), providing potentially useful information from a diagnos...
Nowadays, the use of wearable devices is spreading in different fields of application,
such as healthcare, digital health, and sports monitoring. In sport applications, the present trend is to continuously monitor the athletes’ physiological parameters during training or competitions to maximize performance and support coaches. This paper aims to e...
Breathing rate (BR) represents one of the most important physiological parameters to be measured in clinical environment, being linked to multiple stressors and hence describing the global well-being state of a subject. During the last years, both contact and non-contact measurement methods for the assessment of BR have been proposed, particularly...
Abnormal changes in blood pressure (BP) values can result in hypertension, one of the most serious cardiovascular risk factors. For this reason, it is important to regularly monitor the BP changes. Wearable devices, such as smartwatches, enable the BP values recording during daily activities, enhancing the prevention and management of several disea...
This study aims at evaluating the use of wearable sensors in the Industry 4.0 context to measure and assess the worker's thermal comfort, which impacts on the general well-being status and, consequently, on productivity and attention level conditions. An experimental protocol based on controlled environment was developed and tested on 14 volunteers...
The measurement of subjects' thermal sensation and, in particular, the accurate knowledge of this quantity are fundamental to properly design and control living environments, promoting the subject's well-being and indoor environmental quality. In this study, the authors used wearable sensors (the Empatica E4 wristband and the MUSE headband) to meas...
p>This paper aims at characterizing the variability of physiological data collected through a wearable device (Empatica E4), given that both intra- and inter-subject variability play a pivotal role in digital health applications, where Artificial Intelligence (AI) techniques have become popular. Inter-beat intervals (IBIs), ElectroDermal Activity (...
Wearable devices are currently employed in several application fields, especially in the healthcare context, thanks to the advent of IoT technology in the global market. However, there are few studies focused on the reliability of collected data depending on the best wearing conditions, e.g. the band tightness in the case of wrist-worn devices, nec...
In this paper, a newly developed cement and two recycled carbon-based materials, namely gasification char (GCH) and recycled carbon fibres (RCF), were used to manufacture new sustainable and low-resistivity cement-based composites. GCH was added at 0.5% and 1.0%, whereas RCF at 0.2%, on the total mortar volume. Microstructural, mechanical, electric...
This paper aims to evaluate the effect of carbon-based conductive recycled additions, i.e., recycled carbon fibres (RCF) and gasification char (GCH), on the mechanical, electrical, and durability properties of concretes. The obtained results show that the compressive strength of concrete is not affected by conductive additions, whereas electrical i...
The continuous monitoring of cement-based structures and infrastructures is fundamental to optimize their service life and reduce maintenance costs. In the framework of the EnDurCrete project (GA no. 760639), a remote monitoring system based on electrical impedance measurements was developed. Electrical impedance is measured according to the Wenner...
Nowadays people are willing to self-monitor their health status, and when they do not feel well, they tend to ask Dr. Google for a diagnosis (over a third of adults go online to analyze or look for information about a health condition [1]). People trust technology, often more than physicians; smartphone and Artificial Intelligence (AI) technologies...
Nowadays, there are plenty of sensing devices that enable the measurement of physiological, environmental, and behavioral parameters of people 24 hours a day, seven days a week and provide huge quantities of different data. Data and signals coming from sensing devices, installed in indoor or outdoor environments or often worn by the users, generate...
The presence of stimuli and the consequent reactions undoubtedly reflect in experience-related changes of physiological parameters, which can be monitored by wearable devices. Generally, reactions related to the sympathetic nervous system activity are assessed through heart rate variability analysis. However, the exploitation of multimodal physiolo...
Physical exertion undoubtedly influences physiological parameters. The aim of this paper is to propose a Machine Learning classifier able to evaluate the physical state of subjects monitored through a wearable device, by simply analysing their Blood Volume Pulse signals. Moreover, a Fatigue-Related Index is presented to quantify the physical well-b...
Heart Rate Variability (HRV) analysis is widely explored in several application fields, such as emotion recognition. Photoplethysmographic (PPG) signals are often considered for this analysis because of their large use in wearable devices. However, quality of these signals is not always optimal, since they are susceptible to many factors, e.g. moti...
Wireless ElectroCardioGram (ECG) systems are employed in manifold application fields: tele-monitoring, sport applications, support to ageing people at home, fetal ECG, wearable devices and ambulatory monitoring. The presence of cables often hinders user’s free movements, alongside clinicians’ routine operations. Therefore, wireless ECG systems are...
Today, the use of wearable devices is continuously increasing with many different application fields. Their low-cost and wide availability make these devices proper instruments for long-term monitoring, potentially useful to detect physiological changes related to influenza or other viruses. The relevance of this aspect and the impact of such techn...
This paper aims at discussing an automated measurement system for detecting carbonation depth in concrete sprayed with phenolphthalein. Image processing and Convolutional Neural Networks strategies are exploited to accurately separate the carbonated and non-carbonated areas and to remove those aggregates on the carbonation front that could bring to...
This paper aims at analyzing the state-of-the-art techniques to measure electrical impedance (and, consequently, electrical resistivity) of mortar/concrete elements. Despite the validity of the concept being widely proven in the literature, a clear standard for this measurement is still missing. Different methods are described and discussed, highli...
This paper discusses the electrical impedance behaviour, measured according to the Wenner’s method, of three different concrete mixes during accelerated degradation tests. Being a first attempt to move from laboratory to in-field applications targeted to long-term monitoring, the same electrode array configuration and set-up (AC current at 10 kHz)...
Pressure wave therapy is widespread for multiple purposes, from cell metabolism stimulation to tendons, ligaments, muscles and bones pathologies treatment. However, in the literature there are no quantitative metrological data related to pressure wave devices. On the contrary, it would be extremely important to have more information on the provided...
In spite of all the developments in dental implantology techniques, peri-implant diseases are frequent (prevalence up to 80% and 56% of subjects for mucositis and peri-implantitis, respectively) and there is an urgency for an effective treatment strategy. This paper presents an innovative electromedical device for the electromagnetic treatment of m...
In the field of automatic recognition and classification of Activities of Daily Living (ADLs), a paramount role to determine the classification accuracy is played by sensor technologies, as the algorithms’ performance is highly affected by the nature and quality of the collected measurement data. This work aims to investigate the influence of the w...
This paper analyses the state of the art on accuracy and metrological characteristics of wrist-worn and chest-strap wearable devices, in comparison with reference instruments. Basing on literature available results, neither a standard protocol for validation nor fixed metrological characteristics can be identified. Wearable devices are validated wi...
Sometimes in control processes it would be necessary to know variables at locations that are barely accessible. In such cases, soft sensors (also known as “virtual sensors”) could really help. In fact, they are powerful instruments for the indirect measure of quantities that would not be measurable, if not with the installation of physical sensors...
The aim of this paper is to study the state of the art about the metrological characteristics and the accuracy of wearable devices, tested in comparison to a gold standard instrument. A bibliographic research has been made on the main scientific databases (e.g. Scopus and Web of Science). Papers have been included on the basis of established criter...
This study aims to characterize an electromedical device used for pressure wave therapy delivered by shock waves. The test protocol analyses different pressures and evaluates both the tip displacement, by means of a laser Doppler vibrometer, and the transmitted force, by means of a piezoelectric load cell; a silicone rubber was used as a tissue pha...
The augmented exposure of both environment and human being to electromagnetic waves and the concomitant lack of an unequivocal knowledge about biological consequences of these radiations, raised public interest on electromagnetic pollution. In this context, the present study aims to evaluate the biological effects on zebrafish (ZF) embryos of 100 M...
This study aims to characterize an electromedical device used for pressure wave therapy delivered by shock waves. The test protocol analyses different pressures and evaluates both the tip displacement, by means of a laser Doppler vibrometer, and the transmitted force, by means of a piezoelectric load cell; a silicone rubber was used as a tissue pha...
This work aims at determining if bioimpedance measurements are able to provide information about the inflammatory state of the tissues; if the presence of an inflamed tissue can be located by means of bioimpedance measure, it would be possible to focus a potential treatment in this site. Different numerical 3D models have been realized to simulate...
Blood Pressure (BP) is considered a significant indicator of cardiac risk. By providing information about the hemodynamic load on the heart, BP detected in a central site may have added value with respect to the more familiar peripheral arterial pressure (i.e. measured on the brachial artery). Laser Doppler Vibrometry (LDV) has been demonstrated to...
Parkinson's disease is a progressive neurodegenerative disorder affecting the central nervous system. One of its main and most evident symptoms is the tremor, which usually manifests at rest with varying intensity during time. An important diagnostic challenge is the differential diagnosis between Parkinson's disease and the other most widely repre...
Heart Rate Variability, HRV, studies the variations of cardiac rhythm caused by the autonomic regulation. HRV analysis can be applied to the study of the effects of mental or physical stressors on the psychophysiological conditions. The present work is a pilot study performed on a 23-year-old healthy subject.
The measurement of HRV was performed by...
This work is aiming to demonstrate the possibility to assess arterial blood pressure without the need to put any element in physical contact with the subject (except for the signal calibration). The authors have developed a measurement technique for the non contact measurement of blood pressure (BP) as manifest in the carotid artery, based on the u...
Peri-implantitis is a severe disease affecting hard and soft peri-implant tissues. At present, prevention is the only means to contrast it.
Recently, a therapy based on the administration of radio frequency electric current was experimented (success rate: 81%). The treatment was numerically simulated, providing the electric current (EC) and field (...
In dentistry possible inflammatory episodes of oral cavity can be very frequent (periodontitis, mucositis, peri-implantitis) and they can have serious consequences. Indeed, peri-implantitis is still the principal cause of implant failure. Impedance values of biological tissues are related to the physiological/pathological state of the tissue itself...
Objective:
The aim of this work is to prove the feasibility of the inflammation detection by means of bioimpedance measurements.
Approach:
Both numerical simulations and preliminary experimental measurements provide significant outcomes in differentiating between healthy and inflamed tissues.
Main results:
Percentage differences in the impedan...
Electrocardiographic (ECG) signal presents many clinically relevant features (e.g. QT-interval, that is the duration of the ventricular depolarization). A novel processing technique has been demonstrated to be capable to measure some important characteristics according to the morphology of the waveform. Basing on that, the aim of this work is to pr...
Introduction: The Heart Rate Variability, HRV, is the physiological phenomenon related to cardiac rhythm variability due to autonomic regulation. The analysis of HRV allows to characterize the health and psychophysiological conditions of a subject, which cause changes in the balance between sympathetic and parasympathetic systems. In stress conditi...
The Parkinson's Disease (PD) is a neurodegenerative disorder of the central nervous system. It produces several symptoms that come on slowly over time.
The main one is the tremor that can appear at rest or in kinetic conditions.
The aim of this work is to measure the tremor frequency in Parkinsonian individuals by means of two different non-contact...
Peri-implantitis is a severe inflammatory pathology that affects soft and hard tissues surrounding dental implants. Nowadays, only prevention is effective to contrast peri-implantitis, but, in recent years, there is the clinical evidence of the efficiency of a therapy based on the application of radio frequency electric current, reporting that 81%...
The detection of arterial Blood Pressure waveform provides important information about the subject health status. Laser Doppler Vibrometry (LDV) is a non-contact technique with high sensitivity able to detect mechanical movements of the arterial wall; several previous studies have shown that LDV is able to characterize cardiac activity. Photoplethy...
Laser Doppler Vibrometry (LDV) has been demonstrated to be a non-contact technique with high sensitivity, able to measure the skin vibrations related to cardiac activity. The obtainable mechanical signal (i.e. a velocity signal), VibroCardioGram (VCG), is able to provide significant physiological parameters, such as Heart Rate (HR). In this work, t...
The assessment of the heart rate variability (HRV) is of utmost importance, being one of the most promising markers of the activity of the autonomic nervous system and associated to cardiovascular mortality. Different signals can be used to perform HRV, primarily electrocardiography (ECG), photoplethysmography (PPG), phonocardiography (PCG) or vibr...
Study of the feasibility of the diagnosis of inflamed tissues by means of bioimpedance measurements
Electrocardiographic (ECG) signal presents many clinically relevant features (e.g. QT-interval, that is the duration of the ventricular depolarization) [1-3]. A novel processing technique [4] has been demonstrated to be capable to measure some important characteristics according to the morphology of the waveform.
Basing on that, the aim of this wo...
Background: Central blood pressure (BP) have a well know predictive value for many cardiovascular pathologies and the carotid artery pressure pulse is related to absolute BP and can be measured without contact by Vibrocardiography (VCG) [1-3], the vibrational signal associated to the heartbeat acquired by a Laser Doppler Vibrometer.
Purpose: In thi...
A novel processing technique allows to measure possibly relevant features in different physiological signals according to the morphology of their waveforms. The authors want to prove its efficacy in the assessment of the subject’s Heart Rate (HR) and to broaden its use to signals coming from different biomedical sensors (based on optical, acoustica...
The authors have investigated a novel processing algorithm to detect possibly relevant features in biological signals acquired from different sensors (based on electrical, optical, acoustical and mechanical principles). The performance of the methodology proposed has already been validated for electrocardiographic signal. In this work, we have appl...
Peri-implantitis is a serious disease, which can affect the tissue area surrounding a dental implant. Its causes are multiple and vary from bad oral hygiene to poor alveolar bone. Main characteristics of peri-implantitis are bacteria adhering to the surface of the implant, peri-implant bone resorption and inflammation of soft tissues surrounding th...
Heart Rate Variability (HRV) analysis aims to study the physiological variability of the heart rate, which is related to the health conditions of the subject. HRV is assessed measuring heart periods (HP) on time window of >5 minutes. HPs are determined from signals of different nature: electrocardiogram (ECG), photoplethysmogram (PPG), phonocardiog...