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Classifying Major Depressive Disorder Using fNIRS During Motor Rehabilitation

Major depressive disorder (MDD) has shown to negatively impact physical recovery in a variety of medical events (e.g., stroke and spinal cord injuries). Yet depression assessments, which are typically subjective in nature, are seldom considered to …

The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologies

A common challenge with all opioid use disorder treatment paths is withdrawal management. When withdrawal symptoms are not effectively monitored and managed, they lead to relapse which often leads to deadly overdose. A prerequisite for effective …

Neural efficiency of human-robotic feedback modalities under stress differs with gender

Sensory feedback, which can be presented in different modalities – single and combined, aids task performance in human–robotic interaction (HRI). However, combining feedback modalities does not always lead to optimal performance. Indeed, it is not …

A machine learning approach to predict human judgments in compensatory and noncompensatory judgment tasks

Traditionally, in judgment analysis, multiple linear regression based lens model, which assumes decision makers assess every cue, weigh, and combine them to make overall judgments, has been used to model and analyze human judgments. However, linear …

Support vector machine (SVM) classification of cognitive tasks based on electroencephalography (EEG) engagement index

Human-system interaction may be improved by using proactive systems that detect, measure, and assess a user’s cognitive state in real time via diagnostic neurophysiological sensors and appropriate classification methods. The electroencephalography …