#TITLE_ALTERNATIVE#

• Main Author: YASODAPUTRA (NIM : 13206019); Pembimbing : Dr. Ary Setijadi P. ST., MT., GILANG
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/15779
• Institution: Institut Teknologi Bandung

Brain-Computer Interface is an interface that uses measured brainwaves as communication channel between the user and the plant. Measured brainwaves are interpreted so what the user wants can be recognized and the control signal can be <br /> <br /> <br /> generated. This final assignment is about designing and implementing an electroencephalograph to support BCI. Electroencephalograph available cannot fulfill the current number of channels requirement. Therefore, an electroencephalograph with more channels is designed and implemented specifically to measure brainwaves whose frequencies reside in the fundamental frequency band <br /> <br /> <br /> of alpha, beta, delta, and theta waves. The design and implementation consist of analog and digital circuits. The design and implementation of analog circuit consist of the design and implementation of a instrumentation amplifier constructed from discrete operational amplifier, Butterworth analog filter that passes signals whose frequencies reside in the fundamental frequency band of alpha, beta, delta, and theta waves, proportional end gain, shield guard, and driven right leg circuit. The digital section is the digital board of ModularEEG modified to increase the number of channels up to 16 with no cross talk occurrence. Circuit testing consists of circuit part testing and whole circuit testing using biosignals as input signals. Circuit part testing consists of instrumentation amplifier’s CMRR and input impedance, magnitude response of the analog filter and proportional end gain, and conversion and transmission test of 16 channel analog signals to a personal computer. Whole circuit test consists of alpha wave detection test in the region of O1 and O2 and eye movement test in the region of F7 and F8. Circuit tests show that the design is fair. Instrumentation amplifier testing shows that the CMRR of the instrumentation amplifier is at least 70dB and its input impedance is at least 6.6M with difference signal gain up to 5.5. Analog filter and proportional end gain testing shows that signals whose frequencies reside in the fundamental frequency band of alpha, beta, delta, and theta waves, are passed with <br /> <br /> <br /> total gain of 1150. Signal gain at the frequency of 50Hz is 6dB less than that of the pass band gain. Digital circuit tests shows that the data transmissions and analog to <br /> <br /> <br /> digital conversions are successful without crosstalk. The whole circuit tests shows that the whole circuit is capable of detecting alpha waves with the frequency of 11Hz and detecting eye movements.