Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SYMPOSIA/SPECIAL SESSIONS LIST
DEMS 2027, Special Session on Design and Evaluation of Monitoring Systems
Chair(s): Eunji Lee
OMNIS-PARK 2027, Special Session on Objective MonitoriNg of Non-CognItive Symptoms in PARKinson's Disease Based on Wearable Sensors and Artificial Intelligence
Chair(s): Fernanda Irrera
Special Session on Design and Evaluation of Monitoring Systems -
DEMS
2027
Paper Submission:
December 22, 2026
Authors Notification:
January 7, 2027
Camera Ready and Registration:
January 15, 2027
Scope
This session will explore innovative approaches to designing monitoring systems that can enhance healthcare delivery and patient outcomes. Topics will include service design, user-centred design, integration of wearable and/or IoT technologies, synthetic data and sandboxes, and the role of artificial intelligence in optimizing monitoring and diagnostics. The session will also address challenges such as interoperability and usability in diverse healthcare settings. We welcome contributions that present case studies, novel frameworks, and design methodologies aimed at creating effective, scalable, and accessible monitoring solutions for various types of patients or general population.
Special Session on Objective MonitoriNg of Non-CognItive Symptoms in PARKinson's Disease Based on Wearable Sensors and Artificial Intelligence -
OMNIS-PARK
2027
Paper Submission:
December 22, 2026
Authors Notification:
January 7, 2027
Camera Ready and Registration:
January 15, 2027
Scope
Wearable sensors can strengthen Parkinson's disease care by adding continuous, objective monitoring at home to the periodic subjective assessments performed during clinical checkups. Using wearable sensors, it is possible to track motion metrics such as postural and axial impairments, tremors, gait disorders, dysphagia outside outpatient environment, in more comfortable conditions for patients. Artificial intelligence algorithms analyse data from the sensors to accurately measure symptom severity in time and make a stratified classification, to complement clinical scores. By capturing subtle, day-to-day changes that periodic visits may miss, wearable systems ultimately aim to improve patients' quality of life and delay advanced complications, empowering physicians to make precise, data-driven management of the disease and adjust medication.