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Idenifikasi Sinyal Suara Paru Menggunakan Metode Welch Untuk Deteksi Kelainan Parenkim Paru

ROSTIANTA, PRAMITRA JOKO and ., Kemalasari and Wijayanto, Ardik (2010) Idenifikasi Sinyal Suara Paru Menggunakan Metode Welch Untuk Deteksi Kelainan Parenkim Paru. EEPIS Final Project.

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    Using a stethoscope to listen a lung voice is one of techniques for doctors in lung diagnosing. This technique is known as auscultation technique. Lung voices produced in several lung abnormality cases show there are several certain patterns can be identified. Commonly lung voice can be divided into three categories; based on pitch, intensity, location, inspiration ratio, and expiration, they are normal voice, abnormal voice, and extra voice. On this final project, it will be designed a device to listen the lung voice by using 2 KHz stethoscope and microphone piezzo electric which will be two hundreds and twenty times strengthened. The filter that is used is IC 4558; a 5 KHz hardware Low Pass Filter. Next, the signal will run into signal processing by using Welch method. A normal lung voice has the frequency under 2 KHz with the signal spectrum 30 - 42 db/Hz. Voice of lung parenchyma abnormality has the signal spectrum under 30 db/Hz. The signal spectrum that over 42 db/Hz is usually called extra lung voice and wheezing voice. The advantages of this final project are facilitating a lung detection and analysis based on the voice and as an educational helping tool in medicine. The accurace of this tool is 95%. Keywords: lung voice, Fast Fourier Transform, Welch method

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Ms Gita Amelia
    Date Deposited: 15 Apr 2011 21:46
    Last Modified: 15 Apr 2011 21:46

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