QUANTIFICATION OF 18-CHANNEL EEG SIGNAL WITH LONGITUDINAL BIPOLAR MONTAGE

• Main Author: Nur Anisa, Irni
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/43390
• Institution: Institut Teknologi Bandung

Neurological disorders globally are the main cause of chronic disability (DALYs) of 27.6 million in 2016. People with neurological disorders require rehabilitation that focuses on cognitive and neurological functions. EEG is an electrophysiological device for recording electrical activity arising from the human brain. The main purpose of an EEG is to evaluate dynamic brain function, because it can obtain brain signals that describe various conditions in the head. EEG signals are classified based on frequency bands into alpha, beta, theta, delta, and gamma which have different meanings depending on brain condition. To help neurologists analyze brain function, EEG signal quantification is needed to add objective scientific information about brain signal strength. Evaluation of 18channels with a longitudinal bipolar montage by 19 points on a 10-20 electrode placement system makes EEG signals analysis more effective. The device receives and extracts 3bytes-per-channel data packets sent via wired or Bluetooth serial communication. Data is stored in text (.txt), tab separated value configuration with microvolt units (µV). EEG signals are quantified according to the classification of the frequency band to absolute power (?V2), relative power (%), and power ratio. Power ratio calculates Delta-to-Theta Ratio (DTR) and Delta-Theta to Alpha-Beta Ratio (DTABR). The results of quantification have an accuracy of 99.58% and the highest error of 0.17% due to reading the input as a delta signal. For the two rhythms of the input signal combined, the highest error is 0.24% because it reads the input as a delta signal.