Special Session 8

SPECIAL SESSION #8

Angela Natalizio

Politecnico di Torino, Italy

• angela.natalizio@polito.it

Antonio Esposito

Università degli Studi di Napoli Federico II, Italy

• antonio.esposito9@unina.it

The current special session delves into the realm of wearable brain-computer interfaces (BCIs) relying on the measurement of spontaneous brain activity (active) specifically designed to address healthcare applications. Unlike traditional BCIs, wearable neural interfaces aim to provide real-time, user-friendly, and non-invasive support to individuals in applications like post-stroke rehabilitation and other motor disorders, but they are more and more investigated even for neurodegenerative diseases like Alzheimer's disease and Parkinson's disease. A particular emphasis can thus be placed on the unique challenges associated with neurodegenerative diseases, addressing issues such as cognitive decline, motor impairments, and the need for continuous monitoring. The special session welcomes contributions related to user-friendly system design, offline and online signal processing methods, and the integration of artifact removal techniques. The overall aim of such works would be to enhance the reliability of acquired data. This aims to pave the way for practical applications that positively impact the lives of individuals facing motor impairments and more.

The list of topics includes the following ones:

• Wearable and portable instrumentation;
• Spontaneous brain activity measurement;
• User-friendly system design;
• Electroencephalography;
• Artifact removal techniques;
• Online biosignal processing;
• Healthcare;
• Motor impairments;
• Neurodegenerative diseases;
• Neurofeedback;
• Transfer learning.

Angela Natalizio, received the M.S. degree in biomedical engineering from the University of Naples Federico II in 2019. She is a Ph.D. student in Metrology at the Politecnico di Torino. Her research activities focus on wearable brain-computer interfaces as a daily-life tool for communication and control.

Antonio Esposito, is a Research Fellow at the University of Naples Federico II. He received his M.S. degree in electronic engineering at the University of Naples Federico II in 2017 and the PhD in Metrology at Polytechnic of Turin in 2022. His main research activities involve instrumentation and measurement for daily-life brain-computer interfaces. Antonio was also designated “Distinguished Lecturer 2023-2025” for the Instrumentation and Measurement society of IEEE on the topic “Applied metrology for novel human-computer interactions”.