Special Session
Special Session on
Objective MonitoriNg of Non-CognItive Symptoms in PARKinson's Disease Based on Wearable Sensors and Artificial Intelligence -
OMNIS-PARK
2027
19 - 21 February, 2027 - Valletta, Malta
Within the 20th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2027
CHAIR
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Fernanda Irrera
University of Rome "Sapienza"
Italy
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Short Bio
Full Professor of Electronics at the Sapienza University of Rome. Past President of the IEEE-Electron Device Society, Italy Chapter and Member of the Executive Committee of the IEEE Italy Section. Co-founder and past Delegate of the University Rector in the Inter-University NanoElectronics Team (IU.NET). Co-Founder and current Member of the Steering Committee of the Research Center “Sapienza information-based technology innovation center for health” (STITCH). Recipient of national awards in 1995, 2009, 2015, 2019 dedicated to sensing systems, among which: Innovation Design Contest, (Milano, 2015) with the Project “Sensing network for recognizing specific human motion features”. Editor of e-books and Special Issues of Frontiers and Sensors MDPI on the topic of wearable sensors for health. Member of the Editorial Board of the International Journal of Neurological Disorders & Interventions. Committee and chairperson of IEEE-4 Forum for Research and Technology for Society and Industry 2018, Distributed ICT for health and wellness. Invited Lecture “Body Sensors for Healthcare: a challenge of the new digital era”, University of Liverpool, UK, May 12, 2017. Chairperson of the Italian Workshop “Microelectronics for health”, 2019, 2021, 2022 Roma. Past and current investigator of several national and international projects on the use of wearable sensors and artificial intelligence for wellness and health, financed by: the Italian Government (PRIN, POS E-DAI), the European Community (Flag-Era Convergence) and Private Industries (STMicroelectronics Research Contracts).
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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.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Wearable and body-worn sensors (IMUs, sEMG, smartwatches, speech/audio) for PD and other neurodegenerative diseases
- Continuous, free-living monitoring of motor symptoms: tremor, bradykinesia, rigidity, gait, freezing of gait, postural instability
- Monitoring of non-motor symptoms: dysphagia, speech, autonomic dysfunction, sleep, fatigue
- Machine learning and deep learning for symptom detection, severity estimation and disease-progression modelling
- Multimodal signal processing and sensor fusion
- Digital biomarkers, remote monitoring and telemedicine
IMPORTANT DATES
Paper Submission:
December 22, 2026
Authors Notification:
January 7, 2027
Camera Ready and Registration:
January 15, 2027
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library