ECG Signal Recognition Methods to Determine an Exposure to Magnetic Field

The paper presents a methodology of research on the magnetic field influence on the human body, based on pattern recognition algorithms. A group of 15 volunteers has been exposed to a 50Hz magnetic field of strength 60 A/m. There were recorded 30 ECG signals, 2 for each experiment participant. The first signal was recorded before an exposure to a magnetic field, and the second signal immediately after exposure to the field. The first signal was recorded before an exposure to a magnetic field, and the second signal immediately after exposure, creating two classes of signals. In the paper we discuss supervised classification methods. The purpose of these methods is to detect whether the exposure to a magnetic field occurred, basing on the automatic analysis of the ECG signal.