Autor/Autorin: K. Nishant Nishant
Mr. Nishant K. obtained his Master of Technology degree in Electronics and Control Engineering in 2012. He is currently working as Assistant Professor in the Department of Electrical and Electronics Engineering. His research field includes biomedical, nanotechnology.
A brain computer interface (BCI), sometimes called a direct neural interface is a direct communication pathway between a human and an external device. This is one of the most challenging concept in present day scenario. The Electroencephalograph is commonly used by the doctors in detection of brain tumors and other disorders related to the brain such as sleep disorder. It is capable of firing of a bunch of neurons non-invasively. It is chosen for the purpose of measuring the impedance of brain waves to provide us quantifiable nonspatial data by generating an EEG graph. The FFT of the EEG graph can provide us with a reliable and effective way of controlling and understanding the brain waves generated pattern. Though the BCI was conceptualized several years ago, no complete implementation of the system has been designed so far. One of the major setback in this direction is because the analog nature of the EEG data makes it difficult to analyze.
K. Nishant, Nishant
Mr. Nishant K. obtained his Master of Technology degree in Electronics and Control Engineering in 2012. He is currently working as Assistant Professor in the Department of Electrical and Electronics Engineering. His research field includes biomedical, nanotechnology.
Über den Autor
O Sr. Nishant K. obteve o seu Mestrado em Engenharia Electrónica e de Controlo em 2012. Trabalha actualmente como Professor Assistente no Departamento de Engenharia Electrotécnica e Electrónica. O seu campo de investigação inclui biomédica, nanotecnologia.
Klappentext
A brain computer interface (BCI), sometimes called a direct neural interface is a direct communication pathway between a human and an external device. This is one of the most challenging concept in present day scenario. The Electroencephalograph is commonly used by the doctors in detection of brain tumors and other disorders related to the brain such as sleep disorder. It is capable of firing of a bunch of neurons non-invasively. It is chosen for the purpose of measuring the impedance of brain waves to provide us quantifiable nonspatial data by generating an EEG graph. The FFT of the EEG graph can provide us with a reliable and effective way of controlling and understanding the brain waves generated pattern. Though the BCI was conceptualized several years ago, no complete implementation of the system has been designed so far. One of the major setback in this direction is because the analog nature of the EEG data makes it difficult to analyze.
