Multichannel magnetocardiography (MCG) during exercise testing has been sho
wn to detect myocardial ischaemia in patients with coronary artery disease.
Previous studies on exercise MCG have focused on one or few time intervals
during the recovery period and only a fragment of the data available has b
een utilized.
We present a method for beat-to-beat analysis and parametrization of the MC
G signal. The method can be used for studying and quantifying the changes i
nduced in the MCG by interventions. We test the method with data recorded i
n bicycle exercise testing in healthy volunteers and patients with coronary
artery disease. Information in all cardiac cycles recorded during the reco
very period of exercise MCG testing is, for the first time, utilized in the
signal analysis.
Exercise-induced myocardial ischaemia was detected by heart rate adjustment
of change in magnetic field map orientation. In addition to the ST segment
, the T wave in the MCG was also found to provide information related to my
ocardial ischaemia. The method of analysis efficiently utilizes the spatial
and temporal properties of multichannel MCG mapping, providing a new tool
for detecting and quantifying fast phenomena during interventional MCG stud
ies. The method can also be applied to an on-line analysis of MCG data.