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Two-dimensional mapping of impedance magnetocardiograms
Akihiko Kandori1, Tsuyoshi Miyashita, Daisuke Suzuki
1Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo, Japan. kandori@crl.hitachi.co.jp
IEEE Transactions on Bio-Medical Engineering
|June 27, 2002
Summary
A novel method simultaneously measures 2-D impedance magnetocardiograms (I-MCGs) and magnetocardiograms (MCGs). This technique reveals detailed cardiac conductivity changes, offering new physiological insights into heart function.
Area of Science:
- Biophysics
- Cardiovascular Physiology
- Biomedical Engineering
Background:
- Magnetocardiography (MCG) measures the magnetic fields produced by cardiac electrical activity.
- Impedance cardiography (ICG) measures electrical impedance changes related to cardiac function.
- Simultaneous measurement of both MCG and ICG could provide complementary physiological information.
Purpose of the Study:
- To develop and validate a new method for simultaneously measuring 2-D impedance magnetocardiograms (I-MCGs) and magnetocardiograms (MCGs).
- To investigate the physiological information provided by the novel 2-D I-MCG technique.
- To assess the potential of 2-D I-MCG for understanding cardiac circulatory movements.
Main Methods:
- Developed a system using a superconducting interference device (SQUID) to record both I-MCG and MCG signals.
- Employed four first-order gradiometers and a flux-locked-loop circuit driven by a 40 kHz AC current.
- Filtered and demodulated signals to isolate I-MCG, reflecting conductivity changes due to heart muscle and blood volume movement.
Main Results:
- The 2-D I-MCG signals showed maximal amplitude over the right ventricle and right atrium.
- Current-arrow mapping indicated significant current flow over the right side of the right ventricle.
- Discrepancies were observed between systole/diastole timings derived from I-MCG and phonocardiograms.
Conclusions:
- The developed 2-D I-MCG method successfully measures cardiac conductivity changes.
- 2-D I-MCG provides valuable physiological data on cardiac circulatory dynamics.
- This technique holds promise for enhanced understanding of heart function and potential clinical applications.