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RANCANG BANGUN DETEKSI SUARA PARU-PARU DENGAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGASI UNTUK MENDETEKSI PENYAKIT ASMA

By Artiarini Kusuma Nurindiyani, Kemalasari . and Ardik Wijayanto

Abstract

This time development of electronic growing fast. This field can join with another field especially ini medical which is many people called electromedic. A dissease have much in our country one of it is asma. For this final project we made Analisa Suara pada Penyempitan Saluran Pernapasan untuk Mendeteksi Penyakit Asma dengan Metode Jaringan Syaraf Tiruan so it can be detected that the object has asma or not. This device using stethoscope connected to pre amplifier and amplifier that its following in to PC via mono jack audio, voice which is resulted compose using Visual Basic. A signal come from Visual Basic it will be composed using three methods, which is Hamming Window method, FFT (Fast Fourier Transform) method and Neural Network Backpropagation method. This data can show system detected dissease of the person have asma or not (normal). Trial data from asma patient got score range in frequency 30 Hz and for normal patient up to 30 Hz. The result from many datas have 80 percent of acuration. Keyword: Neural Network, Fast Fourier Transform, Hamming Windo

Topics: QA75 Electronic computers. Computer science, QA76 Computer software
Publisher: EEPIS
Year: 2010
OAI identifier: oai:generic.eprints.org:320/core476
Provided by: EEPIS Repository

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