EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa

Tutkielmassa tarkasteltiin Keski-Suomen Sairaala Novassa käytössä ollutta EEG- monitorointilaitteiston laadunvalvontaprosessia sekä kehitettiin nykyisten menetelmien rinnalle uusi kalibrointilaitteisto, jolla pystyttiin vähentämään inhimillisiä virheitä sekä mahdollisten uusintamittausten määrää aut...

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Main Author: Niva, Aleksi
Other Authors: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Fysiikan laitos, Department of Physics, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:fin
Published: 2024
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/98915
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author Niva, Aleksi
author2 Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Fysiikan laitos Department of Physics Jyväskylän yliopisto University of Jyväskylä
author_facet Niva, Aleksi Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Fysiikan laitos Department of Physics Jyväskylän yliopisto University of Jyväskylä Niva, Aleksi Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Fysiikan laitos Department of Physics Jyväskylän yliopisto University of Jyväskylä
author_sort Niva, Aleksi
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description Tutkielmassa tarkasteltiin Keski-Suomen Sairaala Novassa käytössä ollutta EEG- monitorointilaitteiston laadunvalvontaprosessia sekä kehitettiin nykyisten menetelmien rinnalle uusi kalibrointilaitteisto, jolla pystyttiin vähentämään inhimillisiä virheitä sekä mahdollisten uusintamittausten määrää automatisoimalla prosessia. EEG-vahvistimelle syötettyä signaalia analysoitiin ohjelmalla, joka kehitettiin osana tutkielmaa. Sairaala Novan käytössä on myös MATLAB-pohjainen analyysiohjelma, jolla suoritetaan EEG-vahvistimelle syötetyn signaalin amplituditarkastelu, mutta signaalin jaksonaikojen tai taajuuden mittaamiseen ei ollut mitään toistettavissa olevaa menetelmää. Signaalin lisäksi uuden kalibrointilaitteen kehityksessä huomioitiin tarve EEG- vahvistimeen liitettyjen kameran ja mikrofonin aikasynkronoinnille. Kalibrointilaitteen aikatarkkuudeksi signaalin sekä ääni- ja valoherätteiden tuottamisessa mitattiin oskilloskoopilla noin 3 ms. Sairaalan käytössä olevan MATLAB-ohjelman mukaan uuden kalibrointilaitteen tuottaman signaalin amplitudivaihtelu oli suurimmillaan 7,79 μV (5,07 % keskimääräisestä amplitudista), kun vanhan kalibrointilaitteen amplitudivaihtelu oli suurimmillaan 9,92 μV (5,31 %). Tavoiteamplitudi molemmille laitteille oli 200 μV. Tutkielman yhteydessä tuotetulla analyysiohjelmalla uuden kalibrointilaitteen tuottaman signaalin taajuuksien keskihajonnaksi mitattiin suurimmillaan 0,017 Hz ja amplitudin keskihajonnaksi 14,364 μV, kun vanhan kalibrointilaitteen taajuuksien suurin keskihajonta oli 0,020 Hz ja amplitudin keskihajonta 20,885 μV. This thesis examined the quality control process used for EEG monitoring equipment at the Central Finland’s Hospital Nova, and developed a new calibration device to supplement existing methods. The new device enhances automation in calibration, reducing human errors and minimizing the need for potential re-measurements. The signal was measured with an EEG amplifier and analyzed using an analysis program developed as part of this thesis. Hospital Nova also uses a MATLAB-based program for amplitude analysis of calibration signal measured with EEG amplifier; however, no repeatable method was available for measuring the signal’s periods or frequency. In addition to signal accuracy, the development of the new calibration device took into account the need for time synchronization with a camera and microphone connected to the EEG amplifier. The time accuracy of the calibration device for generating signal, audio, and light stimuli was measured with an oscilloscope at approximately 3 ms. According to the MATLAB program used by the hospital, the new calibration device’s amplitude variation was at most 7.79 μV (5.07% of the average amplitude), while the old calibration device’s amplitude variation reached a maximum of 9.92 μV (5.31%). The target signal amplitude for both devices was 200 μV. Using the new analysis, the new calibration device’s frequency standard deviation was measured at a maximum of 0.017 Hz, with an amplitude standard deviation of 14.364 μV. For the old calibration device, the maximum frequency standard deviation was 0.020 Hz, and amplitude standard deviation was 20.885 μV.
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spellingShingle Niva, Aleksi EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa Elektroniikka Electronics 4022 Arduino signaalinkäsittely EEG epilepsia mikro-ohjaimet mittauslaitteet sairaalat
title EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa
title_full EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa
title_fullStr EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa
title_full_unstemmed EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa
title_short EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa
title_sort eeg laitteistojen kalibroinnin kehittäminen keski suomen sairaala novassa
title_txtP EEG-laitteistojen kalibroinnin kehittäminen Keski-Suomen Sairaala Novassa
topic Elektroniikka Electronics 4022 Arduino signaalinkäsittely EEG epilepsia mikro-ohjaimet mittauslaitteet sairaalat
topic_facet 4022 Arduino EEG Electronics Elektroniikka epilepsia mikro-ohjaimet mittauslaitteet sairaalat signaalinkäsittely
url https://jyx.jyu.fi/handle/123456789/98915 http://www.urn.fi/URN:NBN:fi:jyu-202412117728
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