论文信息 - Guest Editorial Sensor Informatics for Managing Mental Health

Guest Editorial Sensor Informatics for Managing Mental Health

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.

[1] Altug Akay,et al. Assessing Antidepressants Using Intelligent Data Monitoring and Mining of Online Fora , 2016, IEEE Journal of Biomedical and Health Informatics.

[2] Svetha Venkatesh,et al. A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression , 2016, IEEE Journal of Biomedical and Health Informatics.

[3] Jesús Lázaro,et al. Inclusion of Respiratory Frequency Information in Heart Rate Variability Analysis for Stress Assessment , 2016, IEEE Journal of Biomedical and Health Informatics.

[4] Enzo Pasquale Scilingo,et al. Predicting mood changes in bipolar disorder through heartbeat nonlinear dynamics: A preliminary study , 2015, 2015 Computing in Cardiology Conference (CinC).

[5] Luca Citi,et al. Prediction of Impaired Performance in Trail Making Test in MCI Patients With Small Vessel Disease Using DTI Data , 2016, IEEE Journal of Biomedical and Health Informatics.

[6] Chen Zhang,et al. Design and Implementation of an On-Chip Patient-Specific Closed-Loop Seizure Onset and Termination Detection System , 2016, IEEE Journal of Biomedical and Health Informatics.

[7] Yue-Shan Chang,et al. Systematical Approach for Detecting the Intention and Intensity of Feelings on Social Network , 2016, IEEE Journal of Biomedical and Health Informatics.

[8] M. Poo,et al. Grand challenges in global mental health , 2011, Nature.