Download PDF Abstract: The ballooning IoT phenomena today encompasses wide ranging application scenarios in many sectors, including Smart Cities, Home & Building Automation, Smart Things, Asset Tracking and Industry 4.0. The key elements behind this growth story include the miniaturized and more intelligent sensing and processing hardware based on silicon technologies, several robust and reliable connectivity protocols, and highly refined signal conditioning and power and energy management. The Smart City, Home & Building Automation strategy for a more efficient and sustainable society involves interfacing state-of-the-art metering ICs featuring highly accurate monitoring and control functionality with broader systems integrating microcontrollers, sensors, safety and protection devices in wireless and power-line transmission networks. In Industry 4.0, the concept of Predictive Maintenance to improve industrial tool management is also gaining traction. This technology involves the diagnosis of key symptomatic indicators to allow advanced planning of costly machine care and maintenance, in order to reduce unnecessary or untimely downtime and avoid unrecoverable failures. ST is well positioned to address these markets with state-of-the-art technologies and a wide range of products, thanks to its profound understanding of the building blocks associated with each of these ecosystems. KEYWORDS: #MCU, #ARM, #Cortex #Connectivity, #NFC, #RFID #Bluetooth, #BLE mesh, #RF Sub-GHz, #Sigfox , #LoRA, #Sensors, #MEMS, #Motion, #Environment, #ToF, #Proximity, #Microphone Biography Filippo Colaianni received his M.S. degree in Engineering from the University of Catania, in 2001. He is currently the Technical Marketing Manager at STMicroelectronics, for IoT, Smart City and Home Building Automation, Asset Tracking applications segments. He is responsible for project management, promotion and demand creation for IoT and Industry 4.0, and has accumulated a deep working knowledge of ARM Cortex-M MCU, Connectivity and Sensors products in this role.

Download PDF Abstract: Wearable measurement systems have been currently spreading as personal devices for monitoring physiological parameters. In last years, such systems are going to be integrated in Internet of Things (IoT) systems where several acquisition nodes are simultaneously connected and managed. The acquisition nodes must comply the size and energy consumption requirements of wearable devices, while allowing the streaming of sampled signals such as the Electrocardiogram and the respiration wave and providing enough accuracy to guarantee the biosignal integrity. This is even harder when the device is connected to Wide Area Network IoT systems, characterized by a lower bandwidth and a higher power consumption. To face these problems, efficient sampling strategies can be adopted aiming to reduce the data rate to be transmitted and as a consequence the energy consumption. The seminar will present the state of art of sampling methods for physiological signals and will in particular deal with methods based on compressed sensing. Compared with the others, such methods offer a lower computational load on the acquisition node, by moving it to the reception side, which in the case of IoT systems, is usually realized in the cloud.   Biography: Luca De Vito received the master’s (cum laude) degree in software engineering and the Ph.D. degree in information engineering from the University of Sannio, Benevento, Italy, in 2001 and 2005, respectively. In 2002 he joined the Laboratory of Signal Processing and Measurement Information, University of Sannio, where he was involved in research activities. In 2008, he joined the Department of Engineering, University of Sannio, as an Assistant Professor in electric and electronic measurement. He became Associate Professor in the same Department in Jan. 2020. In Aug. 2018 he received the National Academic Qualification as Full Professor. He is member of the IEEE since 2010, he is member of the IEEE Instrumentation and Measurement Society (IMS), of the IEEE Aerospace and Electronic System Society, and of the IEEE Standards Association. He is Senior Member of the IEEE since 2012. He member of the Armed Force Communication and Electronics Association (AFCEA) and is Young President of the AFCEA Naples Chapter. He is editor of Measurement and Measurement:Sensors (Elsevier) and Chapter Chair Liaison of the IEEE IMS. He was Technical Program Co-chair of the IEEE International Symposium on Medical Measurements and Applications (MeMeA) in 2015, 2016 and 2017. He published more than 140 papers on international journals and conference proceedings, mainly dealing with measurements for the telecommunications, data converter testing and biomedical instrumentation.  

Locandina_Seminaio_Ragaini_A3 Abstract The power system, including generation, transmission, distribution, and utilization of electric power, is the most complex machine  ever built. However, many of the subtleties in its inner workings remain hidden but to those directly working in its operation. Even electronic engineers and computer scientists sometines neglect the many aspects in which information and energy technologies overlap. On the other hand, power engineers sometimes give information technologies for granted, and don't appreciate their specific needs and contributions. This lecture aims to contribute filling this gap, providing some examples of technological challenges where electronics, computing hardware and software are essential to make power systems work: from control of power electronics to fault protection, from optimization of power plant operatons to predictive maintenance. The electrical system can provide computer and software engineers endless problems which are interesting (and fun) to work on, and at the same time give power engineers new directions in which the power grid can evolve.

WS IEEE SENSOR CHAPTER 2019 flyer

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ABSTRACT It is important to recognize that high fidelity in the reproduction of the ECG waveform requires a measurement system that preserves the ECG features and provides amplification selective to the physiological signal while rejecting external interference and noise. The most obvious implication is that the presence of a frequency-dependent skin-electrode interface introduces distortion to the signal in its propagation from its source to the input of the recording amplifier, which may lead to misdiagnosis of serious cardiac conditions unless the front-end stage is adapted to the source impedance. Therefore, attention is given to investigating the close relationship between the low-frequency response of the skin-electrode-amplifier network and the input impedance characteristics of electrocardiographs. The transient response of ECG amplifiers is investigated in the light of the IEC 60601 performance standard for ECG recording equipment. Recent test result on several electrode models suggests that the undershoot limit of 100 μV and the recovery slope limit of 300 μV/s in response to a 3 mV, 100 ms rectangular pulse are violated when the recommended 10 MΩ input impedance at the input of the recording amplifier is used. Signal distortions appear in the form of an exaggeration of an S wave and depression in the ST segment, which could be misinterpreted clinically as signs of myocardial ischemia or the onset of myocardial infarction when using a real recorded ECG signal with the recommended 10 MΩ input impedance at the amplifier input. Analysis and test result recommend that an amplifier input impedance exceeding 3GΩ and a cut off frequency no higher than 0.05 Hz are necessary to meet the IEC 60601 performance standard and avoid distortion in the ECG signal. Soumyajyoti Maji, Trinity College Dublin Soumyajyoti Maji graduated with a B. Tech. degree in electronics and communication engineering from West Bengal University of Technology, Kolkata, India in 2015. He obtained the M. Eng. Sc. Degree from University College Dublin, Ireland in 2016. Thereafter, he worked as a Research Assistant in the School of Computer Science & Statistics, Trinity College Dublin from 2016-2017. He won the Best Graduate Student Paper and the Travel Grant Award at the 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy. He is currently carrying out research towards his PhD degree in Trinity College Dublin. He is also serving as a Part-Time Assistant Lecturer in Technological University (TU) Dublin-City Campus since 2019. He also serves as a reviewer in the IEEE Transactions on Instrumentation & Measurement (TIM) Journal. He is also a member of the IEEE Medical and Biological Measurements (TC-25) society. His research interests are in biomedical electronics, instrumentation, and applications.   More details: Flyer

Soumyajyoti Maji, Trinity College Dublin ABSTRACT: Currently, gel-less electrodes are primarily employed in heart-rate monitors used largely in the field of sports and athletics. These devices only measure and display the value of the wearer’s heart-rate on a beat-to-beat basis. This information is largely used in an athletic training capacity rather than any clinical role. While these devices detect the ECG signal they do not preserve the morphology or profile of the signal which carries the clinical information on the state of the heart and cardiovascular system. This makes it easier to detect only the presence of the heartbeat and to suppress interference and artefactual signals which are generated by the movement and vigorous activity of the wearer of the device. Electrical characterization of the electrodes will provide knowledge not already available, which is essential for the correct interfacing of the electrodes with the recording amplifier. The performance requirements of the recording amplifier and conditioning circuitry in a dry electrode scenario is an order of magnitude more stringent than is the case using standard adhesive electrodes. This seminar will provide the suggestions and recommendations in developing dry ECG recording system for ambulatory monitoring of the human electrocardiogram. Soumyajyoti Maji, Trinity College Dublin Soumyajyoti Maji graduated with a B. Tech. degree in electronics and communication engineering from West Bengal University of Technology, Kolkata, India in 2015. He obtained the M. Eng. Sc. Degree from University College Dublin, Ireland in 2016. Thereafter, he worked as a Research Assistant in the School of Computer Science & Statistics, Trinity College Dublin from 2016-2017. He won the Best Graduate Student Paper and the Travel Grant Award at the 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy. He is currently carrying out research towards his PhD degree in Trinity College Dublin. He is also serving as a Part-Time Assistant Lecturer in Technological University (TU) Dublin-City Campus since 2019. He also serves as a reviewer in the IEEE Transactions on Instrumentation & Measurement (TIM) Journal. He is also a member of the IEEE Medical and Biological Measurements (TC-25) society. His research interests are in biomedical electronics, instrumentation, and applications.       More details: Flyer