Special Session 5

SPECIAL SESSION #5

Alessandra Angelucci

Politecnico di Milano, Italy

• alessandra.angelucci@polimi.it

Andrea Aliverti

Politecnico di Milano, Italy

• andrea.aliverti@polimi.it

Sara Caramaschi

Malmö University

• sara.caramaschi@mau.se

Dario Salvi

Malmö University

• dario.salvi@mau.se

Recent developments in wearable technologies allow to perform a wide range of measurements continuously, autonomously, and in daily life scenarios. Commonly available devices such as smartwatches, health sensors, activity monitors, step counters, sports trackers, and environmental monitors can measure a plethora of quantities, from physical activity and cardiorespiratory parameters to behaviour and stress-related metrics. Use of such instruments, alone or in combination, allows to collect big data, which can be used to generate new knowledge regarding a person's health and lifestyle, but also requires adequate analysis methods, such as artificial intelligence-based algorithms. Furthermore, the quality of measurements and estimates obtained with wearables is generally low and not all producers share validation data with the scientific community.

The aim of this special session is to address the issue of wearable data quality and discuss methods for data processing and new knowledge generation openly and transparently.

Alessandra Angelucci, was born in Milan in 1995. She received the M.Sc. degree in biomedical engineering and the Ph.D. degree in bioengineering from Politecnico di Milano, Milan, Italy, in 2019 and 2022, respectively. She is currently an Assistant Professor of bioengineering at Politecnico di Milano (Milan, Italy). Her main research interests are biomedical instrumentation with a focus on wearable technology for physiological, environmental and activity monitoring, design and integration of telemedicine platforms, and digital health solutions.
She is author of 18 papers in international peer-reviewed journals, 3 IEEE conference papers, 6 international conference abstracts, 2 book chapters, 2 patent applications and 1 industrial design application.

Andrea Aliverti, was born in Como in 1966. He received the M.Sc. degree in electronics engineering and the Ph.D. degree in bioengineering from Politecnico di Milano, Milan, Italy, in 1992 and 1997, respectively.
He is currently a Full Professor at the Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, where from 2023 he is vice-director. He is responsible of the Respiratory Analysis Lab (LARes) at the Biomedical Technology Laboratory (TBMLab). His actual main research interests include the bioengineering of the respiratory system, physiological measurements, biomedical instrumentation, functional lung imaging, respiratory mechanics, wearable sensors and technologies for digital health, artificial intelligence applied to physiological data, signals, and images. He is author of more than 300 papers, editor of 4 books and inventor in 15 patents.
Prof. Aliverti is an active member of IEEE. He acts as the Conference general chair of the IEEE-STAR (Sport, Technology and Research) International Conf. (from 2023) and program chair of icSPORTS 2023 – International Conference on Sport Sciences Research and Technology Support. Since 2020, he is Honorary Fellow of the European Respiratory Society (FERS). He was awarded of the ERS COPD Award in 2004, the Vertex Innovation Award (VIA) in 2018, and the Andrew P. Sage Award, IEEE Transactions on Human-Machine Systems in 2021.

Sara Caramaschi, was born in Mantova, Italy in 1998. She obtained her B.Sc and M.Sc. degrees in biomedical engineering from Politecnico di Milano, Milan, Italy, in 2020 and 2022, respectively. Between these years she had international experiences at Oulu University, in Finland (6 months Erasmsus) and in the Netherlands, a nine-month internship at Philips Research where she developed her master thesis on human activity recognition algorithms.
She is currently a PhD candidate at Malmö University (Malmö, Sweden) in Computer Science. Her main research interests focus on the monitoring of health-related information through wearables and digital technologies. Her research focuses on the analysis of wearables technology data collected in unsupervised environments and digital health applications. She is author of 1 paper in an international peer-reviewed journal, 1 IEEE conference paper, 2 international conference papers, and inventor in one patent application.

Dario Salvi, was born in Italy in 1978. He received the M.Sc. degree in telecommunication engineering from Università Federico II, Naples, and the Ph.D. degree in biomedical engineering from Universidad Politécnica de Madrid, Spain, in 2004 and 2014, respectively. He is currently an Associate Professor (Docent) at the Department of Computer Science and Media Technology (DVMT) at Malmö University, Malmö, Sweden. His main research interests are within software engineering applied to health and assisted living, from design and requirements elicitation, to development, data analysis and validation. He is author of about 65 scientific papers in proceedings and journals within the area of biomedical engineering and medical informatics and has been actively organizing workshops and conferences in the areas of pervasive and IoT systems, from wearables to applications within healthcare and wellbeing. The research projects he has worked in involve multidisciplinary collaborations in several countries in Europe and beyond. Two projects have been recently awarded by the Royal Swedish Academy of Engineering Sciences (IVA) 100 List.