2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)最新文献_第4页

Low invasive multisensor acquisition system for real-time monitoring of cardiovascular and respiratory parameters 用于心血管和呼吸参数实时监测的低创多传感器采集系统

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140716

R. Pernice, A. Parisi, S. Guarino, G. Fallica, V. Vinciguerra, G. Ferla, L. Faes, A. Busacca

{"title":"Low invasive multisensor acquisition system for real-time monitoring of cardiovascular and respiratory parameters","authors":"R. Pernice, A. Parisi, S. Guarino, G. Fallica, V. Vinciguerra, G. Ferla, L. Faes, A. Busacca","doi":"10.1109/MELECON48756.2020.9140716","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140716","url":null,"abstract":"The recent advances in multiparametric monitoring of biosignals and management of big data prompt for the development of devices and techniques for the extraction of indicators with physiological relevance. In this context, we have designed and realized a portable electronic system, equipped with simple biomedical sensors, able to synchronously record multiple electrocardiographic (ECG), photoplethysmographic (PPG) and breathing signals, for carrying out a non-invasive monitoring of several cardiovascular parameters. In this work, we show the results of preliminary measurements performed following a specific physiological protocol (i.e., deep breathing with 10 s per cycle). The system allows to monitor specific physiological behaviors, such as the decrease of the R-R interval (increase of the heart rate) during inhalation and the increase of the stroke volume increases during exhalation. The high quality of the ECG/PPG/breath waveforms acquired by our probes, sensors and system allows an improvement in the accuracy of the extraction of noteworthy cardiovascular parameters.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128136380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Physiological responses related to pleasant and unpleasant sounds 与悦耳和不悦耳的声音有关的生理反应

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140579

Corinna Vitale, Paola De Stefano, Riccardo Lolatto, A. Bianchi

{"title":"Physiological responses related to pleasant and unpleasant sounds","authors":"Corinna Vitale, Paola De Stefano, Riccardo Lolatto, A. Bianchi","doi":"10.1109/MELECON48756.2020.9140579","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140579","url":null,"abstract":"Sound is a crucial factor in everyday life, since it impacts on people feelings and reactions to circumstances. Therefore, classifying sounds based on experiential, physiological, and behavioral responses becomes a key factor in the under-standing of the relationship between sound and emotions. As reported in the literature, since using a single type of analysis results to be only partially reliable, there is an increasing demand of integration among the various kind of analyses. The aim of this study is to integrate both physiological and self-reported outcomes, in order to provide a more accurate information about the emotions induced by pleasant and unpleasant audio stimuli. In particular, several indices were extracted from physiological signals, which were matched with self-reported outcomes. The results of this study show that cardiac response in terms of sympathetic activation is significantly different for the two types of acoustic artefacts. To further support the physiological responses results, statistical analysis of Loudness, Roughness and Sharpness values was performed. The two types of stimuli seemed to be characterized by significantly different levels of Loudness and Roughness, which were found higher for unpleasant stimuli. Therefore, it is possible to conclude that only one type of measure is not always sufficient to characterize the emotional response to sounds and more than one measure is needed as indicator of listener emotions.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131729958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

MELECON 2020 Welcome from the General Chairs meelecon 2020欢迎各位主席

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/melecon48756.2020.9140480

引用次数: 0

Generalization Capacity Analysis of Non- Intrusive Load Monitoring using Deep Learning 基于深度学习的非侵入式负荷监测泛化能力分析

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140688

Halil Çimen, E. Palacios-García, N. Çetinkaya, Morten Kolbæk, G. Sciumè, J. Vasquez, J. Guerrero

{"title":"Generalization Capacity Analysis of Non- Intrusive Load Monitoring using Deep Learning","authors":"Halil Çimen, E. Palacios-García, N. Çetinkaya, Morten Kolbæk, G. Sciumè, J. Vasquez, J. Guerrero","doi":"10.1109/MELECON48756.2020.9140688","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140688","url":null,"abstract":"Appliance Load Monitoring is a technique used to monitor devices existing in homes, industry or naval vessels. Acquisition of device-level data can provide great benefits in many areas such as energy management, demand response, and load forecasting. However, the monitoring process is often provided with a costly installation, as it requires a large number of sensors and a data center. Non-Intrusive Load Monitoring (NILM) is an alternative and cost-efficient load monitoring solution. Simply put, NILM is the process of obtaining device-level data by analyzing the aggregated data read from the main meter that measures the electricity consumption of the whole house. Before NILM analysis is performed, the load patterns of the appliances are usually modeled individually. In general, one model for each appliance is modeled even if the appliance has more than one operating program such as washing machine and oven. Therefore, when the appliance operates in other programs, the accuracy of NILM analysis decreases. In this paper, an appliance-based NILM analysis has been made considering the appliances having multiple operating programs. In order to increase the accuracy of NILM analysis, several deep learning methods, which are the most important data-driven technique of recent times, are used. Developed models were tested in IoT Microgrid Laboratory environment.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133325070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Dependability Analysis of a Digital Excitation Control System 数字励磁控制系统的可靠性分析

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140487

A. Vicenzutti, M. Chiandone, G. Sulligoi

引用次数: 0

Technical Solution for Burnout, the Modern Age Health Issue 现代健康问题——职业倦怠的技术解决方案

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140516

S. Riurean, M. Leba, A. Ionică, Yonis Nassar

{"title":"Technical Solution for Burnout, the Modern Age Health Issue","authors":"S. Riurean, M. Leba, A. Ionică, Yonis Nassar","doi":"10.1109/MELECON48756.2020.9140516","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140516","url":null,"abstract":"This world, the way we know it, dramatically changes every day due to unexpected technological developments with high influence on human wellbeing and health. Today, more than ever, the employees experience high demanding regarding their performance at work with direct consequences on personal comfort, leading, in most of cases, to an undesired burnout state. Early detection of the burnout state with the support of a wearable device is presented in this work. Based on data acquisition followed by local and remote optical wireless communication (OWC) technology, the Heart Rate (HR), the peripheral capillary oxygen saturation (SpO2) as well as Galvanic Skin (GS) values are analyzed and a fast estimation of burnout state is obtained due to artificial neuronal network (ANN). Burnout state early detection allows to increase individual, both body and mind health condition. The solution from this paper has two main advantages. The first is related to the correlation between the results of the quantitative research through questionnaires and of the qualitative research through physiological parameters measurement done by an ANN. The second is related to real-time burnout state estimation based only on measurements and without any outside communication of data, the only protocol for device setup is OWC, that ensures safety and privacy of data.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127974169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Robotic Systems in Current Clinical Practice 当前临床实践中的机器人系统

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140617

S. Avgousti, E. Christoforou, A. Panayides, P. Masouras, P. Vieyres, C. Pattichis

引用次数: 1

Selective harmonic mitigation with asymmetrical staircase voltage waveform for a three-phase five-level Cascaded H-Bridge Inverter 三相五电平级联h桥逆变器的非对称阶梯电压波形选择性谐波抑制

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140573

G. Schettino, N. Campagna, C. Spataro, A. D. Di Tommaso, R. Miceli, F. Viola

引用次数: 0

Passive components for reducing environmental impacts of buildings:analysis of an experimental green roof 减少建筑环境影响的被动式组件:对实验性绿色屋顶的分析

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140546

L. Cirrincione, M. L. Gennusa, C. Marino, Antonino Nucara, A. Marvuglia, G. Peri

{"title":"Passive components for reducing environmental impacts of buildings:analysis of an experimental green roof","authors":"L. Cirrincione, M. L. Gennusa, C. Marino, Antonino Nucara, A. Marvuglia, G. Peri","doi":"10.1109/MELECON48756.2020.9140546","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140546","url":null,"abstract":"The reduction of the environmental impacts related to the building sector is a matter of outmost importance concerning the sustainable utilization of resources related to human activities. Such sector is in fact responsible for about 40% of both release of pollutants in the atmosphere and energy consumption. When trying to reduce buildings’ environmental impacts, as well as to limit their energy consumption, building envelope passive systems can be used. Amongst these, green roofs have been gaining global attention due to their benefits in terms of resilience and sustainability, in order to mitigate the unfavourable urbanization effects. Research on the green roof has been indeed increasingly raising in recent years. Although the subject of green roofs has been dealt with extensively from many different points of view, there are currently some limits on which improvements can be made. In particular, the aim of the present work is to consider a somewhat overlooked aspect regarding green roofs, which is the overall energy- environmental impact of such building component. The present work reports the results of a case study conducted on a Sicilian building sited in the Department of Engineering of the University of Palermo, where the Life Cycle Assessment (LCA) methodology has been applied.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122773097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

EEG monitoring during software development 软件开发期间的EEG监测

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140717

A. Calcagno, S. Coelli, R. Couceiro, J. Durães, C. Amendola, I. Pirovano, R. Re, A. Bianchi

{"title":"EEG monitoring during software development","authors":"A. Calcagno, S. Coelli, R. Couceiro, J. Durães, C. Amendola, I. Pirovano, R. Re, A. Bianchi","doi":"10.1109/MELECON48756.2020.9140717","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140717","url":null,"abstract":"This paper focuses on the analysis of experienced programmers’ central nervous system response during a software development protocol. The main aim was to explore the neurological mechanisms (i.e., involved brain areas and rhythms) triggered by such a complex task. To do this, a 29-channel EEG signal was acquired on ten experienced programmers during a software development-like exercise. Then, the power spectral density at each EEG channel in standard Delta, Theta, Alpha and Beta bands has been computed and evaluated. The acquired subjects show on average a significant increase of Delta, Theta and Beta powers with respect to the baseline condition. Delta and Theta rhythms increase mostly in the frontal and parieto-occipital regions, while the Beta activity is more diffused. Furthermore, from the statistical analysis it emerged that the power increase in these three bands is significant in different time instants. Moreover, during the programming phase two subjects present a pronounced theta peak in the EEG power spectrum, while other two maintain an alpha peak, even if less pronounced with respect to the baseline condition. These results suggest the need for further investigations. This research is part of the Biofeedback Augmented Software Engineering (BASE) project, which aims at studying programmer’s central and autonomic nervous systems response during the software development activity.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123557865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2