Abstract
An algorithm based on the wavelet transform (WT) was developed to analyze the MCG signals recorded by a 3-D second-order gradiometer connected to three rf-SQUIDs. By using the band pass filter banks with different central frequencies designed with the WT algorithm, we performed MCG waveform analyses for a normal subject and a patient with myocardial infarction (MI). The high frequency components of the QRS complex related to the late potential (LP) lasting about 100 ms with more than few hundreds fT behind the offsets of the QRS complex were observable from a patient with MI. It is useful to use this WT algorithm for signal processing to 3-D MCG signals.
