dc.contributor.author |
Suresh Manic, K. |
|
dc.contributor.author |
Aravind, C.V. |
|
dc.contributor.author |
Saadha, A. |
|
dc.contributor.author |
Pirapaharan, K. |
|
dc.date.accessioned |
2022-08-30T07:58:46Z |
|
dc.date.available |
2022-08-30T07:58:46Z |
|
dc.date.issued |
2015-01 |
|
dc.identifier.uri |
http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/6118 |
|
dc.description.abstract |
Human brain is the most complex organ in the body which controls all conscious
and unconscious aspects of the body. Numerous neurons combine together to
make up the brain and gives us the power of speech, imagination and logical
thinking. The communication between these neurons create magnetic and electric
field that can be measured through an Electroencephalograph. These measured
brainwaves consist of component bandwidths categorised based on their
frequency. Studies have shown that the presence of these waves in the brainwave
depend on the emotional and mental status of the person as well as physical and
mental actions that are being carried out. This paper looks into the different
aspects of acquiring these brainwaves in real time and conditioning the waves in
order to remove unwanted artefacts for digitisation and signal analysis. An in
depth study is carried out for obtaining the waves through a data acquisition
device DAQ 6009 and the categorisation of the brainwave to different
components through the software platform LABVIEW. Studies are then
conducted to analyse the brainwaves during different conditions to create a
database of what a brainwave constitute of at a particular activity. A standalone
modular unit is developed that could be used to acquire; store and analysis the
brain wave signal in real time and is tested for its performance. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Journal of Engineering Science and Technology |
en_US |
dc.subject |
Brain signal visualisation |
en_US |
dc.subject |
Characterisation |
en_US |
dc.subject |
Portable model |
en_US |
dc.title |
Implementation of Real Time Brainwave Visualisation and Characterisation |
en_US |
dc.type |
Article |
en_US |