Razvoj programske potpore za kontinuirano prikupljanje biomedicinskih signala korištenjem integriranog kruga ADS1292R

master's thesis

• Title (english): Development of Software for Continuous Biomedical Signal Acquisition Using ADS1292R Integrated Circuit
• Author: Ana Marija Kisegi
• Mentor: Mario Cifrek (mentor)
• Committee member: Mario Cifrek (predsjednik povjerenstva)
• Committee member: Hrvoje Džapo (član povjerenstva)
• Committee member: Željka Lučev Vasić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Kontinuirano mjerenje biomedicinskih signala dobiva sve više na značaju razvojem novih uređaja, čija je uloga korištenje izvan zdravstvenih ustanova. Prijenosni i nosivi uređaji postaju i medicinski važni zbog jednostavnosti korištenja i točnosti detekcije.
Korišteni razvojni sustav se sastoji od dvije tiskane pločice i elektroda. Jedna od tiskanih pločica sadrži integrirani krug ADS1292R i potrebne pasivne komponente, a druga pločica je STM32F4 Discovery Board s mikrokontrolerom, koji upravlja radom integriranog kruga. Programska okruženje Keil µVision je korišteno za razvoj programske potpora za mikrokontroler, te se koristio FreeRTOS. Koristeći FreeRTOS se programski kod dijeli na manje cjeline, zadatke. Jedan od zadatka radi inicijalizaciju ADS1292R, te ga ispravno priprema za mjerenje, dok drugi zadatak, koji je višeg prioriteta, obavlja mjerenje i šalje rezultate mjerenja na računalo. Napravljena je aplikacija u Pythonu za akviziciju, prikaz, spremanje i obradu biomedicinskih signala u stvarnom vremenu.

Abstract (english)

Continuous biomedical signal measurement is becoming increasingly important with the development of new devices which can be used outside of the healthcare facilities. Portable and wearable devices are becoming more medically important due to their ease of use and accuracy of detection.
The development system consists of two printed circuit boards and electrodes. The first board contains ADS1292R and all necessary passive components, while the second board is STM32F4Discovery Board with a microcontroller. Microcontroller controls the operation of ADS1292R. Keil µVision was used to develop software for microcontroller and FreeRTOS was also used. While using FreeRTOS, programming code can be divided into smaller parts, tasks. One of the tasks is initializing ADS1292R and prepares it for measurement, while the other task, which has higher priority, was used to obtain measurement data and to send acquired data to a computer. An application in Python was created for real – time acquisition, display, saving and processing of biomedical signals.

• Keywords: srce; EKG; respiracija; impedancijska pneumografija; biomedicinski sustavi; ADS1292R; STM32F4 Discovery Board; elektrode; FreeRTOS; akvizicija biomedicinskih signala; Keil µVision; Python; PyQt
• Keywords (english): heart; ECG; respiration; impedance pneumography; biomedical systems; ADS1292R; STM32F4 Discovery Board; electrodes; FreeRTOS; biomedical signal acquisition; Keil µVision; Python; PyQt
• Language: croatian
• URN:NBN: urn:nbn:hr:168:920535
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 12:39:57