%0 Journal Article %1 noauthororeditor %A Panat, Ashish %D 2012 %J International Journal of Computer Science, Engineering and Applications (IJCSEA) %K speech system %N 04 %P 19-24 %R 10.5121/ijcsea.2012.2403 %T Analysis of emotion disorders based on EEG signals of Human Brain %U http://airccse.org/journal/ijcsea/papers/2412ijcsea03.pdf %V 02 %X In this research, the emotions and the patterns of EEG signals of human brain are studied. The aim of this research is to study the analysis of the changes in the brain signals in the domain of different emotions. The observations can be analysed for its utility in the diagnosis of psychosomatic disorders like anxiety and depression in economical way with higher precision.

@article{noauthororeditor, abstract = {In this research, the emotions and the patterns of EEG signals of human brain are studied. The aim of this research is to study the analysis of the changes in the brain signals in the domain of different emotions. The observations can be analysed for its utility in the diagnosis of psychosomatic disorders like anxiety and depression in economical way with higher precision. }, added-at = {2018-10-06T10:13:19.000+0200}, author = {Panat, Ashish}, biburl = {https://www.bibsonomy.org/bibtex/2d64b45849f369c8d27d3a3b7b002c179/ijcsea}, doi = {10.5121/ijcsea.2012.2403}, interhash = {9f285f3d25984e1c4a786634abaad47c}, intrahash = {d64b45849f369c8d27d3a3b7b002c179}, issn = {2230-9616}, journal = { International Journal of Computer Science, Engineering and Applications (IJCSEA)}, keywords = {speech system}, month = {April}, number = 04, pages = {19-24}, timestamp = {2018-10-06T10:13:19.000+0200}, title = {Analysis of emotion disorders based on EEG signals of Human Brain}, url = {http://airccse.org/journal/ijcsea/papers/2412ijcsea03.pdf}, volume = 02, year = 2012 }