The papers in this special section focus on the topic of sensor informatics for mental health applications. The papers provide novel insights on advances in detection, sensing, analysis, and modeling of central and/or autonomic correlates useful in psychophysiological states assessment.
['Gaetano Valenza', 'Vladimir Carli', 'Antonio Lanata', 'Wei Chen', 'Roozbeh Jafari', 'Enzo Pasquale Scilingo']
Guest Editorial Sensor Informatics for Managing Mental Health