Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

This review article provides a deep insight into the Brain–Computer Interface (BCI) and the
application of Machine Learning (ML) technology in BCIs. It investigates the various types of …

Nonstationary signal decomposition (SD) is a primary procedure to extract monotonic
components or modes from electroencephalogram (EEG) signals for the development of …

Brain–computer interfaces (BCIs) have been widely employed to identify and estimate a
user's intention to trigger a robotic device by decoding motor imagery (MI) from an …

For the last few years, many feature extraction methods have been proposed based on
biological signals. Among these, the brain signals have the advantage that they can be …

This paper presents a new approach called clustering technique-based least square support
vector machine (CT-LS-SVM) for the classification of EEG signals. Decision making is …

Abstract Major Depressive Disorder (MDD) is one of the leading causes of disability
worldwide. Prediction of response to Selective Serotonin Reuptake Inhibitors (SSRIs) …

Current state-of-the-art in Brain Computer Interfacing (BCI) involves tuning classifiers to
subject-specific training data acquired from calibration sessions prior to functional BCI use …

Myocardial infarction (MI) is a heart condition arising due to partial or complete blockage of
blood flow to heart muscles. This can lead to permanent damage to the heart and can be …

Schizophrenia (SZ) is a mental disorder, which affects the ability of human thinking, memory,
and way of living. Manual screening of SZ patients is tedious, laborious and prone to human …