Context Intelligent wheelchair technology has recently been utilised to address several
mobility problems. Techniques based on brain–computer interface (BCI) are currently used …

Background and objective: Principally, the procedure of pattern recognition in terms of
segmentation plays a significant role in a BCI-based wheelchair control system for avoiding …

Brain-computer interface (BCI) is an appropriate technique for totally paralyzed people with
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …

This systematic literature review collects and discusses the main needs, expectations, and
barriers of people with quadriplegia and caregivers in relation to the self-help devices that …

Brain-computer interface (BCI-MI)-based wheelchair control is, in principle, an appropriate
method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair …

In this paper, an EEG-based brain controlled wheelchair has been designed using Brain
Computer Interface (BCI) with the help of NeuroSky Mind Wave EEG Headset. Quadriplegic …

This paper introduces the use of the one-dimensional convolutional neural network (1D-
CNN) for end-to-end EEG decoding with application towards a BCI system with a shared …

Diffusion-Weighted Imaging (DWI) remains the most accurate brain imaging technique for
early detection of stroke. This study proposed the image analysis technique for automatically …

Purpose This literature review aims to find the current state of the art in self-help devices
(SHD) available for people with quadriplegia. Materials and methods We searched original …

Accidental falls are considered a major cause of accidents that could lead to serious injuries,
paralysis, psychological damage, and even deaths, especially for the elderly. Therefore in …