Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46371
Title: EEG analysis using the linear canonical transform
Authors: Nair, Amrish
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
Issue Date: 2011
Abstract: 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.
URI: http://hdl.handle.net/10356/46371
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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