Thematic Session 29

THEMATIC SESSION #29

Milena Martarelli

Marche Polytechnic University, Italy

• m.martarelli@staff.univpm.it

Lorenzo Scalise

Marche Polytechnic University, Italy

• l.scalise@staff.univpm.it

Micaela Morettini

Marche Polytechnic University, Italy

• m.morettini@staff.univpm.it

Laura Burattini

Marche Polytechnic University, Italy

• l.burattini@staff.univpm.it

Wearable sensing is a well-established technology commonly used not only for monitoring human body conditions, but also to derive its psychological or emotional status. This technology also is often used for measuring human-machine interaction and in industry 4.0 applications, for example for safety scopes. Novel assessment techniques, implying specific hardware solution, real time data analysis and processing are continuously investigated and methodologies aiming to mitigate causes of uncertainty are some of the topics to be extensively fostered in this field.

The multidisciplinary nature of this session will open discussions with experts from various application fields (from biomedical to industrial sectors) allowing a fruitful cross-fertilization and the stimulation of innovative ideas.

The main objective is to foster a collaborative effort to tackle the diverse challenges associated with the following topics that will be treated in this session:

• Emotional status and cognitive load sensing;
• Vital sign monitoring;
• Sensors and algorithms for diagnosis, disease progress tracking, and self-management;
• Industrial wearable sensors for human digital twin;
• Gesture and keystroke analysis in musical instruments;
• Sensors for remote monitoring experience in workplace and creating new capabilities for operating;
• Wearable robotics system for digital healthcare;
• Novel in-body, on-body, and off-body sensors and systems for digital health, wellness, and sports;
• Uncertainty assessment with wearable sensors;
• Signal processing, machine learning, deep learning, and decision-support algorithms;
• Wearable sensors and digital twin technology in healthcare;
• Wearable sensor technologies for digital biomarkers development.

Milena Martarelli PhD in Mechanical Dynamics obtained on June 2001 at Imperial College of London (UK). She is Associate Professor at the Università Politecnica delle Marche and the Director of the Research Centre CARMELO (Center for Advanced Research on Measurements for Engineering and Life Optimization). She is the head of the Laboratory of Vibration Measurement. Her scientific activity is in the field of mechanical and thermal measurement applied to many sectors from industry to biomedical engineering, from cultural heritage to agrifoods. Her main expertise is in the development of non-contact measurement systems for mechanical vibrations and structural dynamics, acoustics and diagnostics, e.g. Laser Doppler vibrometry, ultrasonics, vision-based technology in different wavelength domains.

Prof. Lorenzo Scalise holds a MSc in Electronic Engineering (1996) and a PhD in Measurement techniques (1999). He is Associate Professor in Measurement Techniques, Applied Measurement Techniques and Biomedical Instrumentation, at Marche Polytechnic University, Italy. He has been visiting researcher at Twente University (NL) in 1999, exploring the possibility to measure intra-vascular blood velocity with a novel laser-based, fiber optic sensor.
He has a solid expertise on measurement methods with a special focus on the application to the biomedical field. His research interests are: measurement techniques, biomedical instrumentation, wearable sensors, assistive technologies, e-health, optical sensors and characterization of systems and materials. He is senior member of IEEE (Instrumentation & Measurement Society) and author of more than 250 publications in scientific journals, books and conference proceedings.

Micaela Morettini holds a M.sc. in Biomedical Engineering (University of Bologna, 2008) and a PhD in “Electromagnetics and Bioengineering” (UnivPM, 2012). She is Associate Professor of Bioengineering at the Department of Information Engineering, UnivPM, where she is in charge of the DIABETES LAB. Her research interests include: in-silico modelling and digital twin technologies in physiology and medicine, wearable devices for health monitoring and disease management, biomedical signal processing, digital health and digital biomarkers, machine and deep learning applied to the development of clinical decision support systems. Main applications are in the diabetes, metabolism/immunometabolism, physical exercise, cardiovascular and respiratory fields. She currently is the coordinator of the Bachelor's and the Master's Degree in Biomedical Engineering at UnivPM. She is author of 77 journal papers and 80 conference proceedings.

Laura Burattini received the PdD degree in electrical/biomedical engineering at the University of Rochester (USA) in 1998 and the master’s degree in electrical/biomedical engineering at the Politecnico di Milano (Itay) in 1993. After the PhD, she had some working experience in private companies. Since 2006 she joints the Department of Information Engineering of the Università Politecnica delle Marche where she is currently faculty member as Full Professor of Bioengineering. She is responsible of the “Cardiovascular Bioengineering Lab” and “Bioengineering Lab”. She joins several scientific associations and is member of the board of directors of the Italian National Group of Bioengineering (GNB), of the International Society for Computerized Electrocardiology (ISCE) and of the Computing in Cardiology society (CinC). She is currently associate Editor of “Biomedical Signal Processing and Control”, “Frontiers in Network Physiology” and “Annals of Noninvasive Electrocardiology”. Her main research interests are processing, modelling and classification of biomedical signals and images, particularly of the cardiac, nervous, motor, and metabolic physiological systems. She is author more than 130 journal papers and 170 proceedings of international conferences.