Zpracování a analýza srdečních signálů pro potřeby triggerování magnetické rezonance

Abstract

This thesis focuses on the processing and analysis of cardiac signals for triggering MRI. The importance of this issue lies in the need for accurate processing of heart signals for the diagnosis of heart diseases and the monitoring of patients' condition. The methodology of the work included data acquisition on 32 volunteers (only 31 recordings were used), detection of biological signal peaks (ECG, PPG, BCG) and statistical analysis of the results. The analysis of peak detection of biological signals showed a high success in pulse wave detection (PPG) with a success rate of 95 $\%$ and J wave detection (BCG) with a success rate of 80 $\%$. On the contrary, the detection of the R wave (ECG) achieved an accuracy of only 75 $\%$. Data suggest that PPG is the most accurate source for triggering MRI. The BKG signal requires further research for its use, but the results are more favorable than the EKG. The ECG is strongly disturbed by the magnetic field, which complicates the triggering of the MRI. The knowledge can contribute to the development of diagnostic procedures in cardiovascular medicine and provide new perspectives for the use of biological signals in practice.