Naprava za diagnozo vnetega srednjega dela ušesa z analizo zvočnih odbojev

BERCKO, KLEMEN (author), Kramar, Peter (mentor)

Vnetje srednjega dela ušesa je ena najpogostejših bolezni v otroštvu, ki se največkrat pojavi ob prehladu. Poleg otoskopa, ki ga uporabljajo zdravniki, poznamo tudi tri metode, pri katerih uporabljamo za detekcijo vnetja tehnologijo zvočnega odboja: akustična reflektometrija, timpanometrija in širokopasovna absorbcijska timpanometrija s spreminjanjem zračnega pritiska. Namen diplomske naloge je bil izdelati kombinirano metodo, kjer so uporabljene lastnosti timpanometrije in širokopasovne timpanometrije brez spreminjanja zračnega pritiska. Sistem generira zvočne signale 60 različnih frekvenc v območju od 226 Hz do 8 kHz s korakom po 130 Hz, vzbujanje s posamezno frekvenco je 17 ms. Hkrati snemamo zvok v ušesni votlini, ki jo zračno zatesnimo. Zvočne posnetke sem analiziral s programskim paketom Matlab. Na zajetih signalih sem uporabil hitro Fourierovo transformacijo (ang. Fast Fourier transform) ter prikazal amplitudo odbojev pri posamezni frekvenci.

• Language: Slovenian
• Keywords: Vnetje srednjega dela ušesa, diagnostika ušesa, akustična reflektometrija
• Work type: Bachelor thesis/paper
• Organization: FE - Faculty of Electrical Engineering
• Year: 2014
• PID: 20.500.12556/RUL-29481
• Publication date in RUL: 17.09.2014

Secondary language

• Language: English
• Title: Device for middle ear infection diagnosis with sound reflections analysis

Abstract

Inflammation of the middle ear is one of the most common diseases in childhood, which often occurs when you get a cold. For diagnosis of otitis media practitioners for many years using otoscope. In addition to otoscope, there are also three methods which are used for detection of inflammation: acoustic reflectometry, tympanometry and wideband absorbance tympanometry using air pressure sweeps. The aim of the thesis was to create a combined method, where properties of tympanometry and wideband tympanometry without changing air pressure are used. The system generates the audio signals of 60 different frequencies ranged from 226 Hz to 8 kHz with a step of 130 Hz, a single excitation of frequency is 17 ms. At the same time the sound in the ear cavity, which is air sealed, is recorded. Voice recordings were analyzed with Matlab. On the recorded signals I used the fast Fourier transform and represented the amplitude of the segment at each frequency.

• Keywords: Inflammation of the middle ear, ear diagnosis, acoustic reflectometry