The Electroencephalograph (EEG) signals is one of the most widely used in the bioinformatics field due to its rich information about human tasks. The Electroencephalogram is a neuronal activity that represents the electrical activity of the brain. The uses of EEG signals in the field of Brain computer Interface (BCI) have obtained a lot of interest with diverse applications ranging from medicin...

An able-bodied subject used walking motor imagery to accurately operate a non-invasive brain-computer interface (BCI) controlled robotic gait orthosis. This finding represents the first successful demonstration of a BCI-controlled lower extremity prosthesis for independent ambulation, with significant implications for restoring ambulation to individuals with spinal cord injury paraplegia.

In this thesis, the use of electrodes to capture the human brain electroencephalogram (EEG) signals through a BCI (Brain Computer Interface BCI) was proposed. In our BCI system, hardware and software were combined to extract brainwave information to control the medical assistant systems by means of bluetooth interface. Several medical assistant systems such as EEG-based toy car with the attenti...

A brain-computer interface (BCI) is a hardware and software communications system that permits cerebral activity alone to control computers or external devices. The immediate goal of BCI research is to provide communications capabilities to severely disabled people who are totally paralyzed or 'locked in' by neurological neuromuscular disorders, such as amyotrophic lateral sclerosis, brain stem...

There are high technological and software demands associated with conducting Brain–Computer Interface (BCI) research. In order to accelerate the development accessibility of BCIs, it is worthwhile focus on open-source community desired tooling. Python, a prominent computer language, has emerged as language choice for many research engineering purposes. this article, BciPy, an open-source, Pytho...

In the field of bio-medical, the brain interface is to create and adapt methods of human-computer interaction. This is BCI. A variety of application domains to compare and validate BCI interaction, including communication, environmental control, neural prosthetics and creative expression. EEG signals acts as a communication between men and machines. The BCI-based control system for robots using...

A wheelchair is a tool used to assist people with physical limitations in their legs. The most widely are standard wheelchairs manual operating system by being pushed hand. However, disabilities who have paralysis or suffer from neuromuscular and neurological conditions cannot use this wheelchair. Because of this, study focuses on implementing the Brain Computer Interface generate five commands...

We compared the encoding and decoding performance of several intracortical neural signals—single units, multi-units, and band-limited local field potential (LFP) power—within an eye movement brain-computer interface (BCI) paradigm. We find that broadband high-frequency LFPs exhibit the best performance, and may be an easily obtainable, high-performance signal for BCI applications.

This paper investigates a method to generate personal identification number (PIN) using brain activity recorded from a single active electroencephalogram (EEG) channel. EEG based biometric to generate PIN is less prone to fraud and the method is based on the recent developments in brain-computer interface (BCI) technology, specifically P300 based BCI designs. Our perfect classification accuraci...