Open Access
American Research Journal of Computer Science and Information Technology
ISSN (Online): 2572-2921
DOI: 10.46568/arjcsit
Operational Study of Brain Reading–Neuroimaging in Human Brain Computer Interface(H-BCI)
1*Postdoc. Associate FIU, Miami, FL, United States
2Associate Chief Resident, Raritan Bay Medical Center, Perth Amboy, NJ, USA
3Pharmacist, Rite Aid Pharmacy, United States 4Health Center Manger, Premise Health, PA, United States
Dr. Hardik Gohel, Dr. Bhavesh Kumar Garsondiya, Dr. Aarti Kothia, Hitesh Jani, “Operational
Study of Brain Reading–Neuroimaging in Human Brain Computer Interface(H-BCI)”. American Research
Journal of Computer Science and Information Technology, Volume 2, 2017; pp:1-6.
Abstract
Brain-Computer Interface (BCI), sometimes called a direct neural interface or a brain-machine
interface (BMI), is a direct communication between the brain and an external device. BCIs are often designed
to help increase or repair cognitive or human sensomotor functions. Brain-Machine Interfaces (BMI)
or Brain-Computer Interfaces (BCI), also known as neuro-prostheses, are conceived as technological interfaces
between a host (typically a computer) and a user’s brain. It should allow the use to perform a specific task,
usually without performing any motor action. This implies that nerve impulses generated by the user’s brain
are detected, processed and used by the machine, almost in real time, to perform defined tasks. As an example,
information can be processed and used to control mechanical systems (e.g. actuators) or electrical devices
(eg electronic devices). It is now very difficult to read the neuroimaging of the brain computer interfacing the
human brain. There are several studies that describe the methodology of doing so, but not enough, which leads
us to a deliberative study of various brain imaging methods of reading on the human brain’s computer interface.
This article includes several types of brain imaging methods for the Human Brain (H-BCI) computer interface.