EEG Biofeedback Design Report

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Presentation transcript:

EEG Biofeedback Design Report Adrian Smith, gte198f Daniel Shinn, gte539f Ken Grove, gte262f ECE 4006 - Group N1 February 14, 2002

Project Objectives Continue work from previous semester Use muscle movement rather than EEG as input signal Identify, process, and assign signals to specific commands Ultimately control a remote vehicle

Design Goals Replicate and test amplifier board Study A/D converter Write Software

Design Block Diagram

Amplifier Board Built in previous semester Based on Thomas Collura’s design, founder of Brainmaster Two stage amplifier 7805 voltage regulator power supply Can use 9V battery

Amplifier Schematic

Amplifier Design Stage 1 Gain of 50 Common Mode Rejection Ratio Provides noise reduction and signal centering Stage 2 Gain of 390 Capacitors stabilize power supply

Amplifier Parts List Resistors: (1) 10K 1/4W 5% (2) 1K 1/4W 5% (2) 10M 1/4W 5% (1) 51K 1/4W 5% Integrated Circuits: (3) OP-90 amplifiers (1) 620AN amplifier (1) LM7805C voltage regulator Capacitors: (1) 0.47uF 400V polypropylene (P474J) (3) 0.1uF 400V polypropylene (P104J) (2) 0.001uF 400V polypropylene (P103J) (1) 10uF 6.3VDC Tantalum Other: (1) Set of 3 conductor signal leads

Analog-Digital Converter Current board is a Keithley DAS-1701ST Installed in borrowed computer Must be moved but face PCI interface problem Keithley KPCI-1307 card is optimal solution

Keithley KPCI-1307 100k samples/sec 16 single ended or 8 differential inputs AutoZero capability filters out drift 32 digital I/O 3 clock/timer Driver software included Price : $680

Software Options VHDL program DriverLINX drivers

VHDL Implementation Download code to Flex10k20 chip on Altera board Board receives signals from the KPCI-1307 and controls mechanical devices Can completely bypass amplifier board

DriverLINX Implementation Create DLLs for data acquisition and signal routing Interface can be programmed in C C++ Visual Basic Active X

Our Focus Duplicate the amplifier Decide if new A/D card is feasible Choose software option Process the signals to distinguish between them Interpret signals as commands for controlling a remote control vehicle Output control commands to remote control vehicle