Sensor Informatics for Managing Mental Health (Closed)

This special issue is now closed. See all Past Special Issues.

Download the Call-for-Papers (PDF) for this special issue.

Important Dates:

Submission Deadline: 2nd Nov 2015
First Reviews Due: 14th Dec 2015
Revised Manuscript Due: 18th Jan 2016
Final Decision: 18th Feb 2016

Guest Editors:

Gaetano Valenza
Mass. General Hospital/Harvard Medical School,
Boston, USA

Vladimir Carli
Karolinska Institutet, Stockholm, Sweden

Antonio Lanata
University of Pisa, Pisa, Italy

Wei Chen
Eindhoven University of Technology
Eindhoven, The Netherlands

Roozbeh Jafari
Texas A&M University, USA

Enzo Pasquale Scilingo
University of Pisa, Pisa, Italy


Mental, neurological, and substance-use disorders (MNS) conditions such as depression, psychosis, bipolar disorders, epilepsy, developmental and behavioral disorders in children and adolescents, dementia, Parkinson’s disease, alcohol use disorders, drug use disorders, and self-harm/suicide, are prevalent throughout the world. They are major contributors to morbidity and premature mortality. Due to the challenges related to diagnosis, monitoring, treatment and prevention of MSN disorders, synergistic research efforts are required.

To this end, biomedical and health informatics technologies need to develop innovative sensing and processing platforms, for effective capturing of information during daily activities or sleep, during specific tasks, at home and in clinics for the assessment of the subjects’ psychophysiological state including affective, stress, mood, and behavioral states. Research involving such computational models of pathophysiology and related signal/data processing, within a focused and timely special issue, will have the potential to guide the future delivery of treatment tailored to individual needs, improving the lives of people affected by MNS disorders, and clinicians dealing with MNS diagnoses and treatments.

The main topics of interest to this special issue include, but are not limited to:

Advances in detection, sensing, analysis, and modelling of central and/or autonomic correlates useful in psycho-physiological states assessment

  • Applications of biomedical signal processing techniques improving the embedded and remote monitoring of MNS patients
  • Innovative MNS sensing platforms based on wearable monitoring systems and smart textile technology
  • Sleep monitoring and assessment in MSN patients
  • Speech analysis in MNS disorder
  • Biomechanical and biomotion studies during MNS disorders
  • Healthcare Information Systems & Telemedicine for managing MNS disorders
  • Novel approaches for real-time machine learning with wearable and home monitoring technologies for the assessment of MNS disorder progression and for improving psycho-physiological evaluations
  • New assistive devices, sensing and feedback systems for self-management of mental disorders
  • Novel technologies for managing depressive comorbidities in ageing
  • ICT tools for mental health promotion and suicide prevention

For more information, please refer to the Call-for-Papers (PDF).