EEG analysis using the linear canonical transform

• 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
• Institution: Nanyang Technological University

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.