Introduction This study examines the state and trait effects of short-term mindfulness-based
stress reduction (MBSR) training using convolutional neural networks (CNN) based deep …

With mounting evidence for the benefits of meditation, there has been a growing interest in
measuring and quantifying meditative states. This study introduces the Inner Dereification …

EEG oscillatory correlates of expert meditators have been studied in the time-frequency
domain. Machine Learning techniques are required to expand the understanding of …

In the new times we are living, the use of technology is causing many of the customs are
changing, one of them is the development of children, in previous years children used to …

Objective classification of the meditative state of the brain from its resting state was
attempted using electroencephalogram (EEG). The binary classification was performed both …

This study proposes an approach to classify the EEG into meditation and non-meditation
segments using a long short-term memory (LSTM) based deep neural network (DNN) …

The use of information technology and communications, have allowed the development of
multiple devices for recording electrical activities that originate in the human body such as …

DOI: Graduated motor imagery is the technique used in rehabilitation therapies, for the
treatment of chronic pain and in most cases for movement disorders, the technique consists …

In recent years, a considerable number of approaches have been proposed by the
researchers to evaluate infectious diseases by examining the digital images of peripheral …

Regular yoga and meditation practices are gaining recognition as tools that help in
prevention of various diseases. To have vitality in life, personal well-being and emotional …