Analiza EKG-signala prikupljenog integriranim sklopom MAX30003 u stvarnom vremenu

undergraduate thesis

• Title (english): Real-time analysis of the ECG signal acquired by the MAX30003 integrated circuit
• Author: Eugen Bošnjak
• Mentor: Hrvoje Džapo (mentor)
• Committee member: Hrvoje Džapo (predsjednik povjerenstva)
• Committee member: Karla Salamun (član povjerenstva)
• Committee member: Antonio Stanešić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Razvijena je programska potpora za mikrokontroler za obradu EKG signala u stvarnom vremenu, dobivenog iz vanjskog sklopa. Programska potpora izračunava srčani ritam (HR), varijabilnost srčanog ritma (HRV) i ritam disanja (RR). Izračunate vrijednosti šalju se serijskim sučeljem prema osobnom računalu gdje se prikazuju u grafičkom korisničkom sučelju implementiranom u programskom jeziku Python. Točnost izračuna srčanog ritma i varijabilnosti srčanog ritma je visoka, dok je točnost procjene ritma disanja značajno manja zbog potrebe za korištenjem bitno naprednijih algoritama obrade signala. Sklopovska potpora sastoji se od razvojne pločice Nucleo-L412KB s mikrokontrolerom STM32L412KB temeljenim na arhitekturi Arm Cortex-M, razvojne pločice ECG 3 Click s integriranim sklopom MAX30003, koji sadrži analogno sučelje za mjerenje EKG signala, te osobnog računala.

Abstract (english)

Software for microcontroller for real-time processing of ECG signal acquired via an external circuit was developed. Software calculates heart rate (HR), heart rate variability (HRV) and respiratory rate (RR). Calculated values are sent via a serial interface to a personal computer, where these values are displayed in a graphical user interface implemented in the Python programming language. The accuracy of the calculation of the heart rate and heart rate variability is high, while the accuracy of the estimation of the respiration rate is significantly lower due to the need for using significantly more advanced signal processing algorithms. The circuit consists of a development board Nucleo-L412KB with a microcontroller STM32L412KB based on the Arm Cortex-M architecture, a development board ECG 3 Click with an integrated circuit MAX30003 , which contains an analog interface for measuring ECG signals, and a personal computer.

• Keywords: EKG; biomedicinska elektronika; nosivi elektronički uređaj; digitalna obrada signala
• Keywords (english): ECG; biomedical electronics; wearable electronics; digital signal processing
• Language: croatian
• URN:NBN: urn:nbn:hr:168:591537
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-10-12 20:09:21