Emotion recognition, a challenging computational issue, finds interesting applications in
diverse fields. Usually, feature-based machine-learning methods have been used for …

Practical brain–computer interface (BCI) demands the learning-based adaptive model that
can handle diverse problems. To implement a BCI, usually functional near-infrared …

The extraction methodology of the significant features from the signals is one of the most
important pre-requisite steps for EEG signal classification. Common spatial pattern (CSP) is …

Though a number of research articles are available based on different preprocessing
methodologies, all of them are not available in a single article with the practical utility of …

Autism spectrum disorder (ASD) is a serious mental disorder affecting social behavior. Some
children also face intellectual delay. In people with ASD, the signals detected have …

The heart has been a symbol within ancient philosophy and spiritual practice for personal
consciousness, wisdom, intuition and love. In recent decades, scientists with growing …

Wellbeing has been operationalized in a variety of ways, most of which fit within either a
hedonic and/or eudemonic framework. The hedonic worldview equates wellbeing with …

Since several work requires continuous alertness like efficient driving, learning, etc. efficient
measurement of the alertness states through neural activity is a crucial challenge for the …

The use of anesthesia during major surgery is unconditionally obligatory, although the
intraoperative and postoperative complications of anesthesia turned out to be common too. It …

EEG signal in the time domain with high sampled rate faces difficulties for their noise
sensitive properties that lead to erroneous feature extraction. Since the feature extraction is …