BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260527T070848Z UID:E9EFB64E-BC03-46F4-BF65-763BC4FD26C5 DTSTART;TZID=Europe/Rome:20260608T080000 DTEND;TZID=Europe/Rome:20260610T170000 DESCRIPTION:The third edition of the INTERNATIONAL SUMMER SCHOOL ON WEARABL E SENSORS offers three days of intensive sessions dedicated to the explora tion of wearable sensor technologies\, structured through lectures\, hands -on workshops\, and practical activities. The program covers topics such a s signal processing\, data analysis methods\, and AI-based approaches\, wi th a focus on their applications in clinical rehabilitation\, sports medic ine\, and onco-hematology.\n\nThe Summer School is open to Bachelor’s an d Master’s students\, PhD candidates\, postdoctoral researchers\, biomed ical engineers\, clinicians\, physiotherapists\, athletic trainers\, and p rofessionals interested in wearable technologies and their applications in both research and clinical practice.\n\nThe event will take place at Univ ersità Campus Bio-Medico di Roma\, Italy\, from June 8 to 10\, 2026. For information and registration fees: https://metroind40iot.org/WSS2026/\n\nS peaker(s): Stefano Cinti\, Edoardo Palermo\, Enrica Tricomi\, Claudia Ceo\ , Alessia Noccaro\, \, Christian Tamantini\, Giovanni Pioggia\, Ombretta A nnibali\, Roberto Mina\, Valeria Tomarchio\, Arianna di Napoli\, Emiliano Schena\n\nAgenda: \nThe programme combines morning plenary lectures\, afte rnoon thematic tracks\, hands-on workshops\, poster activities\, project w ork\, and final project presentations. Its aim is to provide participants with a technically grounded and clinically oriented understanding of weara ble sensor systems: from sensing principles and device design to signal pr ocessing\, data reliability\, artificial intelligence\, and translation in to real medical and performance-monitoring scenarios.\n\nEach day begins w ith plenary sessions led by international experts in biomedical engineerin g\, medicine\, rehabilitation\, neuroscience\, digital health\, and indust ry. These sessions address the state of the art in wearable technologies\, including sustainable printed electrochemical biosensors\, biomechanical analysis for neuromuscular research\, soft wearable robotic suits for loco motion support\, conformable bioelectronics for brain-body monitoring\, ca rdiorespiratory assessment\, sensor placement and signal-processing reliab ility\, AI-driven health monitoring\, XR exergames for cognitive and physi cal training\, and the role of industrial AI in connecting wearable data w ith human performance.\n\nIn the afternoon\, participants follow one of th ree thematic tracks:\n\nTrack 1 — Hands-on sessions: technologies and da ta analysis for wearable sensors. This track focuses on practical and meth odological skills. Participants will work on motion tracking based on magn eto-inertial measurements and on the estimation of functional brain-heart interplay from EEG and HRV series. The track is intended to strengthen par ticipants’ ability to acquire\, process\, interpret\, and critically ass ess physiological and movement-related data collected with wearable system s. It also includes project work\, allowing participants to apply concepts from sensors\, signal processing\, and data analysis to concrete use case s.\n\nTrack 2 — Advances in clinical rehabilitation and sports medicine using wearable sensors. This track addresses the clinical and functional u se of wearable devices in rehabilitation and movement assessment. Topics i nclude wearable sensors in orthopaedic rehabilitation\, adaptive robot-aid ed rehabilitation\, digital twins and AI-driven personalised rehabilitatio n\, supervised and unsupervised motor monitoring\, motor rehabilitation\, Parkinson’s disease\, multiple sclerosis\, upper-limb amputee assessment \, balance disorders\, upper- and lower-limb rehabilitation\, sport rehabi litation\, and gait-quality assessment. The track is particularly relevant for participants interested in the translation of wearable technologies i nto rehabilitation pathways\, functional assessment\, motor recovery\, and sports-related monitoring.\n\nTrack 3 — Onco-hematology care through we arable sensors. This track explores how wearable technologies can support intensive monitoring and personalised care in oncology and hematology. The programme covers bispecific strategies in hematology\, CAR-T therapy\, em erging toxicities in onco-hematology\, lymph-node assessment\, wearable te chnologies for lymph-node palpation\, antibody-drug-conjugate-related inte rstitial lung disease\, intensive patient monitoring in clinical research\ , remote monitoring for early detection of interstitial lung disease\, hem atological disorders and fever\, and the integration of patient-reported o utcome measures with wearable technologies. The track is designed to conne ct clinical needs with sensing strategies\, remote monitoring\, and patien t-centred digital health approaches.\n\nAcross the three tracks\, particip ants will gain knowledge of wearable technologies and digital health solut ions\, competence in signal processing\, data analysis and AI methods\, an d a clearer understanding of clinical and biomedical applications across d ifferent medical domains. The school also emphasises translational thinkin g: participants will be exposed not only to sensor technologies\, but also to the constraints that determine whether a wearable solution can be used reliably in real-world clinical\, rehabilitation\, sports\, and remote-mo nitoring settings.\n\nThe programme concludes with project presentations a nd closing remarks\, creating a space for participants to consolidate the acquired knowledge\, discuss applications with experts\, and expand their international scientific network. By combining lectures\, practical sessio ns\, clinical perspectives\, and interdisciplinary exchange\, the Internat ional Summer School on Wearable Sensors offers a compact but comprehensive training experience for those aiming to develop\, evaluate\, or apply wea rable technologies in medicine\, rehabilitation\, sports science\, and dig ital health.\n\nBldg: Cu.Bo.\, Via Alvaro del Portillo\, 21\, ROMA\, Lazio \, Italy\, 00128 LOCATION:Bldg: Cu.Bo.\, Via Alvaro del Portillo\, 21\, ROMA\, Lazio\, Italy \, 00128 ORGANIZER:ieee.ucbm2025@gmail.com SEQUENCE:8 SUMMARY:International Summer School on Wearable Sensors URL;VALUE=URI:https://events.vtools.ieee.org/m/551128 X-ALT-DESC:Description: <br /><p>The third edition of the INTERNATIONAL SUM MER SCHOOL ON WEARABLE SENSORS offers three days of intensive sessions ded icated to the exploration of wearable sensor technologies\, structured thr ough lectures\, hands-on workshops\, and practical activities. The program covers topics such as signal processing\, data analysis methods\, and AI- based approaches\, with a focus on their applications in clinical rehabili tation\, sports medicine\, and onco-hematology.</p>\n<p>The Summer School is open to Bachelor&rsquo\;s and Master&rsquo\;s students\, PhD candidates \, postdoctoral researchers\, biomedical engineers\, clinicians\, physioth erapists\, athletic trainers\, and professionals interested in wearable te chnologies and their applications in both research and clinical practice.< /p>\n<p>The event will take place at Universit&agrave\; Campus Bio-Medico di Roma\, Italy\, from June 8 to 10\, 2026. For information and registrati on fees: <a href="https://metroind40iot.org/WSS2026/">https://metroind40io t.org/WSS2026/</a>&nbsp\;</p><br /><br />Agenda: <br /><p>The programme co mbines morning plenary lectures\, afternoon thematic tracks\, hands-on wor kshops\, poster activities\, project work\, and final project presentation s. Its aim is to provide participants with a technically grounded and clin ically oriented understanding of wearable sensor systems: from sensing pri nciples and device design to signal processing\, data reliability\, artifi cial intelligence\, and translation into real medical and performance-moni toring scenarios.</p>\n<p>Each day begins with plenary sessions led by int ernational experts in biomedical engineering\, medicine\, rehabilitation\, neuroscience\, digital health\, and industry. These sessions address the state of the art in wearable technologies\, including sustainable printed electrochemical biosensors\, biomechanical analysis for neuromuscular rese arch\, soft wearable robotic suits for locomotion support\, conformable bi oelectronics for brain-body monitoring\, cardiorespiratory assessment\, se nsor placement and signal-processing reliability\, AI-driven health monito ring\, XR exergames for cognitive and physical training\, and the role of industrial AI in connecting wearable data with human performance.</p>\n<p> In the afternoon\, participants follow one of three thematic tracks:</p>\n <p><strong>Track 1</strong> &mdash\; Hands-on sessions: technologies and d ata analysis for wearable sensors. This track focuses on practical and met hodological skills. Participants will work on motion tracking based on mag neto-inertial measurements and on the estimation of functional brain-heart interplay from EEG and HRV series. The track is intended to strengthen pa rticipants&rsquo\; ability to acquire\, process\, interpret\, and critical ly assess physiological and movement-related data collected with wearable systems. It also includes project work\, allowing participants to apply co ncepts from sensors\, signal processing\, and data analysis to concrete us e cases.</p>\n<p><strong>Track 2</strong> &mdash\; Advances in clinical re habilitation and sports medicine using wearable sensors. This track addres ses the clinical and functional use of wearable devices in rehabilitation and movement assessment. Topics include wearable sensors in orthopaedic re habilitation\, adaptive robot-aided rehabilitation\, digital twins and AI- driven personalised rehabilitation\, supervised and unsupervised motor mon itoring\, motor rehabilitation\, Parkinson&rsquo\;s disease\, multiple scl erosis\, upper-limb amputee assessment\, balance disorders\, upper- and lo wer-limb rehabilitation\, sport rehabilitation\, and gait-quality assessme nt. The track is particularly relevant for participants interested in the translation of wearable technologies into rehabilitation pathways\, functi onal assessment\, motor recovery\, and sports-related monitoring.</p>\n<p> <strong>Track 3</strong> &mdash\; Onco-hematology care through wearable se nsors. This track explores how wearable technologies can support intensive monitoring and personalised care in oncology and hematology. The programm e covers bispecific strategies in hematology\, CAR-T therapy\, emerging to xicities in onco-hematology\, lymph-node assessment\, wearable technologie s for lymph-node palpation\, antibody-drug-conjugate-related interstitial lung disease\, intensive patient monitoring in clinical research\, remote monitoring for early detection of interstitial lung disease\, hematologica l disorders and fever\, and the integration of patient-reported outcome me asures with wearable technologies. The track is designed to connect clinic al needs with sensing strategies\, remote monitoring\, and patient-centred digital health approaches.</p>\n<p>Across the three tracks\, participants will gain knowledge of wearable technologies and digital health solutions \, competence in signal processing\, data analysis and AI methods\, and a clearer understanding of clinical and biomedical applications across diffe rent medical domains. The school also emphasises translational thinking: p articipants will be exposed not only to sensor technologies\, but also to the constraints that determine whether a wearable solution can be used rel iably in real-world clinical\, rehabilitation\, sports\, and remote-monito ring settings.</p>\n<p>The programme concludes with project presentations and closing remarks\, creating a space for participants to consolidate the acquired knowledge\, discuss applications with experts\, and expand their international scientific network. By combining lectures\, practical sessi ons\, clinical perspectives\, and interdisciplinary exchange\, the Interna tional Summer School on Wearable Sensors offers a compact but comprehensiv e training experience for those aiming to develop\, evaluate\, or apply we arable technologies in medicine\, rehabilitation\, sports science\, and di gital health.</p> END:VEVENT END:VCALENDAR