Techniky odstranění pohybových artefaktů ze signálů EKG

Abstract

This thesis deals with the removal of motion artifacts from ECG signals that negatively affect the quality of measurements during physical activity (squatting, deadlifting with dumbbells and walking on a treadmill at 4~km/h and 5~km/h). The aim was to compare the effectiveness of two methods - SG filter combined with discrete wavelet transform (DWT) and empirical modal decomposition (EMD). Measurements were performed with textile and reference sticker Ag/AgCl electrodes during different types of motion. Results show that SG filter + DWT better suppresses motion artifacts in dynamic activities, while SG filter + EMD better preserves ECG morphology. The paper presents an overview of the possibilities of ECG signal processing in motion and recommendations for use in mobile monitoring devices.