THEMATIC SESSION #19

Neuroadaptive Technologies in Healthcare and Rehabilitation

ORGANIZED BY

Du Bois Naomi Du Bois

Naomi Du Bois

University of Bath

Moccaldi Nicola Moccaldi

Nicola Moccaldi

Federico II University of Naples, Italy

ABSTRACT

Neuroadaptive technologies, including brain-computer interfaces (BCIs) and extended reality (XR), enable environments that can dynamically respond to users' cognitive and physiological states by interpreting brainwave data. These adaptive systems hold significant potential across various domains, particularly in advancing healthcare applications such as diagnosis, therapy, and rehabilitation.

TOPICS

We welcome original contributions on topics including but not limited to:

  • EEG-based psychophysical condition monitoring;
  • Wearable sensors;
  • Neuro- and bio-feedback;
  • Accuracy and Precision versus wearability;
  • Machine learning-based biosignal processing;
  • Extended Reality for improving ecological validity;
  • Domain adaptation and generalization for biosignal-based mental state detection;
  • Applications and case studies.

ABOUT THE ORGANIZERS

Dr Naomi du Bois is a Research Associate at the University of Bath, UK, specializing in Brain-Computer Interface (BCI)-based solutions to advance innovative rehabilitative and therapeutic applications. She is affiliated with the university’s Human-Computer Interaction and Artificial Intelligence & Machine Learning research groups, both part of the Bath Institute for the Augmented Human (IAH).

Nicola Moccaldi is an Assistant Professor at the University Federico II of Naples. He received the M.S. degree in Communication Science at the University of Salerno, the M.Sc. degree in Electronic Engineering, and the Ph.D. in Information Technologies and Electrical Engineering at the University of Naples Federico II. His current research interests include biomedical instrumentation and measurement.

WITH THE PATRONAGE OF

univpm
unina
unisalento
polimi
University_of_Hertfordshire
Chemnitz
Ulster University
IST
PUC
HSMW_LOGO
hes-so
unisi
uniparthenope
ding_parthenope
dieti
stiima
carmelo
cirmis
arhemlab
res4net
pems
ageit