Multiparametarska mjerenja bioelektričnih i kinematičkih signala tijekom tjelovježbe

undergraduate thesis

• Title (english): Multiparameter Measurements of Bioelectric and Kinematic Signals During Exercising
• Author: Drago Anić-Ivičić
• Mentor: Ratko Magjarević (mentor)
• Committee member: Ratko Magjarević (predsjednik povjerenstva)
• Committee member: Sara Žulj (član povjerenstva)
• Committee member: Dominik Džaja (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

U ovom radu su prikazani su princip mjerenje bioelektričnog potencijala srca i principi mjerenja kinematičkih veličina akceleracije, kutne brzine i magnetskog polje. Obrada i prikaz tih signala u MATLAB-u. Prikazana je obrada EKG signala pomoću algoritama za detekciju QRS kompleksa, Pan-Thompkins i još dvije metode koje su ugrađene u BioSig dodatak za MATLAB. Ti algoritmi su korišteni na podatcima koji već imaju anotirane otkucaje srca kako bi se algoritmi ocijenili. Pomoću tih metoda dobiven je srčani ritam koji je važan kod tjelovježbe. Obradom podatka akceleracije dobivamo podatke AI, MI i SMA koji nam označavaju intenzitet tjelesne aktivnosti.

Abstract (english)

This paper describes basic principles of measuring the bioelectric potential of the heart and basic principles of measuring kinematic signals such as acceleration, angular velocity and magnetic field and processing and display of such signals in MATLAB. ECG signal processing using QRS complex detection algorithms, Pan-Thompkins and two other methods built in the BioSig toolbox for MATLAB are presented. These algorithms were used on data that is already annotated to evaluate the algorithm efficiency. Using these methods, a heart rate is evaluated. By processing the acceleration data we obtain AI, MI and SMA that indicate the intensity of physical activity.

• Keywords: EKG; IMU; intenzitet tjelesne aktivnosti; srčani ritam; MATLAB; The BioSig Project
• Keywords (english): ECG; IMU; intensity of physical activity; heart rate; MATLAB; The BioSig Project
• Language: croatian
• URN:NBN: urn:nbn:hr:168:311819
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 08:18:50