Brain Computer Interface Used in Health Care Technologies
A brain–computer interface (BCI), often called a mind-machine interface (MMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, repairing human cognitives or sensory-motor functions. BCI systems measure specific features of brain activity and translate them into control signals that drive an output. Most studies use electroencephalography (EEG) and magneto encephalography (MEG) to record all electrical and magnetic activities respectively, occurring with the ionic current that flows within the neurons of the brain. Each of the brain’s hemispheres is segmented into four lobes with different functions. These lobes are separated by fissures (sulcus). Signal generation initially occurs at the outer surface containing Grey Cortex (Grey Matter). The Primary Somatic Sensory Cortex (Parietal Lobe) and the primary Motor Cortex (Temporal Lobe) are the most important regions for BCI research.
KeywordsBCI Electroencephalography Magneto encephalography Lobes Grey cortex Somatic sensory cortex Motor neuroprosthetics
The author wishes to thank all his friends supports without whose support and co-operation this paper wouldn’t have become a reality. The author would like to thank Dr. J.C. Prasad, H.O.D, Computer Science & Technology, FISAT for his support and blessings.
- 1.10th United States Congress (1996) Health insurance portability and accountability act of 1996 (HIPPA). http://aspe.hhs.gov/admnsimp/pl104191.htm
- 2.Microsoft Azure. http://www.microsoft.com/azure/
- 3.Google App Engine. http://code.google.com/appengine/
- 4.Armbrust M, Fox A, Griffith R, Joseph AD, Katz RH, Konwinski A, Lee G, Patterson DA, Rabkin A, Stoica I, Zaharia M (2009) Above the clouds: a Berkeley view of cloud computing. University of California, Berkeley, Technical Reoprt USB-EECS-2009-28, Feb 2009. Amazon Web Services (AWS). http://aws.amazon.com