The convergence of healthcare, instrumentation and measurement technologies will transform healthcare as we know it, improving quality of healthcare services, reducing inefficiencies, curbing costs and improving quality of life. Smart sensors, wearable devices, Internet of Things (IoT) platforms, and big data offer new and exciting possibilities for more robust, reliable, flexible and low-cost healthcare systems and patient care strategies. The data coming from the rehabilitation process is useful to create AI personalized models associated with physical rehabilitation plans optimization, patient outcome prediction, clinics resource optimization.
This tutorial highlights the development of rehabilitation solutions based on smart sensors virtual reality and serious games. As part of these interactive environments, 3D image sensors will be introduced for natural user interaction with rehabilitation scenarios and remote sensing of the user movements, along with thermal cameras for remote evaluation of muscle activity. Additionally, non-invasive monitoring technologies for tracking patients' posture, balance, and gait during the rehabilitation process will be presented. Developed prototypes, such as smart walkers and force platforms, will be discussed, providing quantitative insights related to physical rehabilitation outcomes.
The tutorial will also address challenges related to signal processing, data storage, representation, and analysis, including the formulation of specific metrics for assessing patient progress throughout the rehabilitation process. Elements regarding AI modeling, and AI implementation are considered taking into account that AI may provide to the clinical specialists knowledges about performance metrics after every training session, helping them better understand the motor limitations of the patient and the latest improvements.
Prof. Octavian Postolache
Full Professor of Iscte- University Institute of Lisbon, Portugal
Senior Researcher, Instituto de Telecomunicações, Portugal
Research Field: Smart Sensors, Automated Measurement Systems, IoT, Applied AI
Dr. Octavian Adrian Postolache (M’99, SM’06) graduated in Electrical Engineering at the Gh. Asachi Technical University of Iasi, Romania, in 1992 and he received the PhD degree in 1999 from the same university, and university habilitation in 2016 from Instituto Superior Tecnico, Universidade de Lisboa, Portugal. He joined Instituto Universitario de Lisboa/ ISCTE-IUL Lisbon where he is currently Full Professor . His fields of interests are smart sensors for biomedical and environmental applications, precision agriculture, pervasive sensing and computing, wireless sensor networks, advanced signal processing and applied AI in measurements., computational intelligence with application in automated measurement systems. He was principal researcher of different projects such EHR-Physio regarding the implementation of Electronic Health Records for Physiotherapy or TailorPhy project Smart Sensors and Tailored Environments for Physiotheraphy. He is director of Digital Technologies and Automation program Dr. Postolache is author and co-author of 10 patents, 10 books, 27 book chapters, 135 papers in international journals with peer review, more than 328 papers in proceedings of international conferences with peer review. He was considered four years in raw the 2% world most cited scientists by Standford Elsevier. He is IEEE Senior Member I&M Society, IEEE IMS Chapter Liaison Chair, Distinguished Lecturer of IEEE IMS for several mandates, chair of IEEE I&MSTC-13 Wireless and Telecommunications in Measurements, member of IEEE I&M TC-17, IEEE I&M TC-18, IEEE I&MS TC-25, IEEE EMBS Portugal Chapter and co- chair of IEEE IMS Portugal Chapter. He is Associate Editor of IEEE Sensors Journal, and IEEE Transaction on Instrumentation and Measurements, he was general chair of an important number of IEEE conferences. He received IEEE Sensors Journal best reviewer and the best associate editor in 2011, 2013 and 2017, and other awards related to his research activity in the field of smart sensing.
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