Abstract

Abstract In this research we purposed to detect tuberculosis by using electronic nose through breath air. Also in this research, we made use of field programmable gate array (FPGA) myRIO made by National Instrument. We used a set of array to detect TB placed in sensor room. What the subject needs to do is just exhale into the space of the array. Creating the pattern of TB, this equipment applies Fast Fourier Transform (FFT) method so that the form of TB data known as BTA+ will be produced. The result gained was good enough which can be seen through the change of magnitude occurring when processed with FFT. The subject who was involved in this research has got medical checked up before and has been diagnosed BTA+. For the purpose of clarifying, we made use of Learning Vector Quantization (LVQ). Through offline test result, TB is well classified as expected. Index Terms—tuberculosis, field programmable array, TB marker, fast fourier transform, learning vector quantization

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