Dizajn sustava za akviziciju i obradu signala mjernog sklopa za mjerenje frekvencije disanja

master's thesis

• Title (english): Design of an acquisition and signal processing system for breathing frequency sensor
• Author: Dominik Vitez
• Mentor: Mario Hrgetić (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2023-07-20, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract

U ovom radu razvijen je mikrokontrolerski sustav za akviziciju i obradu signala mjernog pretvornika frekvencije disanja. S ciljem preciznog mjerenja frekvencije disanja, u sklopu istraživanja proučene su različite kontaktne metode. Odabrana je metoda temeljena na inercijskom senzoru koji mjeri pomake prsnog koša tijekom disanja. Analizom karakteristika signala mjernih pretvornika iz dostupne literature, identificirane su optimalne komponente za dizajn mikrokontrolerskog sustava, koji uključuje Arduino Nano v3 pločicu i MPU6050 inercijski senzor. Korištenjem simuliranih respiratornih signala u Matlab/Simulink programskom okruženju istražene su različite tehnike obrade signala kako bi se odredile metode za daljnju obradu stvarnih respiratornih signala. Snimljeni podaci dobiveni mikrokontrolerskim sustavom obrađeni su primjenom Buttwerworthovog, „moving average“ te komplementarnog filtra, a analizirani su u vremenskoj i frekvencijskoj domeni kako bi se utvrdila frekvencija disanja. Provedene analize simuliranih i stvarnih respiratornih signala pokazuju konzistentne rezultate s točnošću unutar +/- 2 udisaja u minuti.

Abstract (english)

In this thesis, a microcontroller-based system for acquisition and processing of the signals from a respiratory rate measurement transducer, has been developed. To accurately measure respiratory rate, various contact-based measurement methods were reviewed. The selected method is based on an inertial sensor that measures chest movements during breathing. By analysing the characteristics of the measurement transducers signals from available literature, optimal components for the design of the microcontroller system were identified, including the Arduino Nano v3 board and the MPU6050 inertial sensor. Using simulated respiratory signals in the Matlab/Simulink software tool, different signal processing techniques were explored to determine the most efficient methods for further processing real respiratory signals. Recorded data obtained from the microcontroller system were processed using Butterworth, moving average, and complementary filters, and analysed in the time and frequency domains to determine the respiratory rate. The conducted analyses of simulated and real respiratory signals demonstrate consistent results with an accuracy within +/- 2 breaths per minute.

• Keywords: mikrokontrolerski sustav; inercijski senzor; frekvencija disanja; mjerni pretvornik; obrada signala
• Keywords (english): microcontroller system; inertial sensor; respiratory rate; measurement transducer; signal processing
• Language: croatian
• URN:NBN: urn:nbn:hr:235:239770
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Embargoed access; Embargo expiration date: 2025-07-07
• Created on: 2023-07-07 11:49:18