The development of artificial intelligence has significantly affected all facets of human life,
leading to many ethical and legal questions that have positive and negative consequences …

Human-computer interfacing, which can be controlled by eye movements and brain signals,
is of widespread use in recent times as an intelligent rehabilitation aid. Although some …

A set of therapeutic control required for persons suffering from or expected to suffer from
limitations in daily living activities is called rehabilitation which can restore or improve the …

Deep Learning (DL) is the most popular subset of machine learning, with many applications
in healthcare and other areas. On the other hand, electroencephalography has effectively …

Due to the sedentary life of people, back pain is a common problem in young individuals as
well as for elderly persons. To prevent it, or reduce it, back stretch exercises are often …

Movement interpretation from the motor imagery (MI) signal of electroencephalogram (EEG)
is an emerging field that can potentially upgrade the quality of life of individuals with motor …

Electroencephalography (EEG) signals have been used for different healthcare applications
like motor and cognitive rehabilitation. In this study, motor imagery data of different subjects' …

Abstract Spinal Cord Injury (SCI) has become a severe concern worldwide, with growing
mortality rates anticipated to become the third highest reason behind death in the last …