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| dc.contributor.author | Omar Sarwar | |
| dc.contributor.author | M Shoaib Raza | |
| dc.contributor.author | Awais Ahmed Alvi | |
| dc.date.accessioned | 2017-05-23T09:14:04Z | |
| dc.date.available | 2017-05-23T09:14:04Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/986 | |
| dc.description | Supervised By Mr. Shaftab Ahmed | en_US |
| dc.description.abstract | The thesis discusses the integrated framework to design a simple and economical EEG data acquisition system. The research has been divided into blocks or components which when combined together deliver a system functionality. The step by step hardware design has been conducted to detect raw EEG signals from the brain scalp. In the coming chapters the respective portions have been explained with their hardware schematics. By the end of the thesis, the reader gets convincing knowledge and a platform to develop a simple EEG device which is cost effective and this makes it fruitful for the reader. The reader will find an elaboration and theoratical explanation of the key concepts that make up the whole project to start with. Initially electrodes have been addressed in details. The thesis moves on with an understanding of signal conditioning, later explains how to digitize data and send the data to the computer. Lastly, application and usage of this data has been mentioned along with supporting arguments. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Electrical Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | BEE;P-0132 | |
| dc.subject | Electrical Engineering | en_US |
| dc.title | EEG Data Acquisition (P-0132) (MFN 3221) | en_US |
| dc.type | Project Report | en_US |