EEG analysis using the linear canonical transform

EEG analysis using the linear canonical transform

Electroencephalography is a diagnostic tool used by neurologists to detect and diagnose brain disease. These signals provide real time data that is invaluable to doctors as well as researchers who use features present in the EEGs to detect a variety of ailments. However, there are artifacts, which a...

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Bibliographic Details
Main Author: Nair, Amrish
Other Authors: Pina Marziliano
Format: Final Year Project
Language:English
Published: 2011
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
Online Access:http://hdl.handle.net/10356/46371
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Institution: Nanyang Technological University
Language: English
Description
Summary:Electroencephalography is a diagnostic tool used by neurologists to detect and diagnose brain disease. These signals provide real time data that is invaluable to doctors as well as researchers who use features present in the EEGs to detect a variety of ailments. However, there are artifacts, which are electrical signals from other body parts which mask the EEG signals and prevent accurate diagnoses. Some of these artifacts include Electrooc-culograms(EOG) and Electromygrams(EMG). The manual removal of these artifacts is often time consuming and tedious.

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