International Summer School on Wearable Sensors

---

The third edition of the INTERNATIONAL SUMMER SCHOOL ON WEARABLE SENSORS offers three days of intensive sessions dedicated to the exploration of wearable sensor technologies, structured through 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 rehabilitation, sports medicine, and onco-hematology.

The Summer School is open to Bachelor’s and Master’s students, PhD candidates, postdoctoral researchers, biomedical engineers, clinicians, physiotherapists, athletic trainers, and professionals interested in wearable technologies and their applications in both research and clinical practice.

The event will take place at Università Campus Bio-Medico di Roma, Italy, from June 8 to 10, 2026. For information and registration fees: https://metroind40iot.org/WSS2026/ 

---

---

---

---

The programme combines morning plenary lectures, afternoon thematic tracks, hands-on workshops, poster activities, project work, and final project presentations. Its aim is to provide participants with a technically grounded and clinically oriented understanding of wearable sensor systems: from sensing principles and device design to signal processing, data reliability, artificial intelligence, and translation into real medical and performance-monitoring scenarios.

Each day begins with plenary sessions led by international 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 research, soft wearable robotic suits for locomotion support, conformable bioelectronics for brain-body monitoring, cardiorespiratory assessment, sensor placement and signal-processing reliability, AI-driven health monitoring, XR exergames for cognitive and physical training, and the role of industrial AI in connecting wearable data with human performance.

In the afternoon, participants follow one of three thematic tracks:

Track 1 — Hands-on sessions: technologies and data analysis for wearable sensors. This track focuses on practical and methodological skills. Participants will work on motion tracking based on magneto-inertial measurements and on the estimation of functional brain-heart interplay from EEG and HRV series. The track is intended to strengthen participants’ ability to acquire, process, interpret, and critically assess physiological and movement-related data collected with wearable systems. It also includes project work, allowing participants to apply concepts from sensors, signal processing, and data analysis to concrete use cases.

Track 2 — Advances in clinical rehabilitation and sports medicine using wearable sensors. This track addresses the clinical and functional use of wearable devices in rehabilitation and movement assessment. Topics include wearable sensors in orthopaedic rehabilitation, adaptive robot-aided rehabilitation, digital twins and AI-driven personalised rehabilitation, supervised and unsupervised motor monitoring, motor rehabilitation, Parkinson’s disease, multiple sclerosis, upper-limb amputee assessment, balance disorders, upper- and lower-limb rehabilitation, sport rehabilitation, and gait-quality assessment. The track is particularly relevant for participants interested in the translation of wearable technologies into rehabilitation pathways, functional assessment, motor recovery, and sports-related monitoring.

Track 3 — Onco-hematology care through wearable 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, emerging toxicities in onco-hematology, lymph-node assessment, wearable technologies 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, hematological disorders and fever, and the integration of patient-reported outcome measures with wearable technologies. The track is designed to connect clinical needs with sensing strategies, remote monitoring, and patient-centred digital health approaches.

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 different medical domains. The school also emphasises translational thinking: 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-monitoring settings.

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 sessions, clinical perspectives, and interdisciplinary exchange, the International Summer School on Wearable Sensors offers a compact but comprehensive training experience for those aiming to develop, evaluate, or apply wearable technologies in medicine, rehabilitation, sports science, and digital health.

---

Brochure_WearableSchoolUCBM		1.72 MiB
Flyer_WSS		2.94 MiB

---