Magnetic measurements of cardiac mechanical activity

Maniewski, Roman; Katila, T.; Poutanen, T.; Siltanen, P; Varpula, Timo; Wikswo, John P.

doi:10.1109/10.7267

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…It can be assumed approximately that the highest peak (J) occurs at the maximum value of the ECG T-wave. It is easy to see that the BCG signal acquired by the sensor is also a sort of a kinetocardiogram 54,55 in which the movement of the subject's back in relation to the mattress of the track table is registered rather than the movement of the chest. However, the signal shape can also reflect the flow of blood in the organs of the body.…”

Section: Determining Heart Ratementioning

confidence: 99%

Fiber Bragg grating-based sensor for monitoring respiration and heart activity during magnetic resonance imaging examinations

et al. 2013

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Abstract. We present a fiber-optic sensor for monitoring respiration and heart activity designed to operate in the magnetic resonance imaging (MRI) environment. The sensor employs a Plexiglas springboard, which converts movements of the patient's body lying on the board (i.e., lung-and heart-induced vibrations) to strain, where a fiber Bragg grating attached to the board is used to measure this strain. Experimental studies are carried out during thoracic spine MRI examinations. The presence of the metal-free sensor construction in the MRI environment does not pose a threat to the patient and has no influence over the quality of imaging, and the signal is identical to that obtained without any electromagnetic interference. The results show that the sensor is able to accurately reflect the ballistocardiographic signal, enabling determinations of the respiration rate (RR) and heart rate (HR). The data delivered by the sensor are normally distributed on the Bland-Altman plot for the characteristic point determination and exhibit clear dependence on the RR and HR values for the RR and HR determinations, respectively. Measurement accuracies are better than 7% of the average values, and thus, with further development, the sensor will be implemented in routine MRI examinations.

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Section: Determining Heart Ratementioning

confidence: 99%

Fiber Bragg grating-based sensor for monitoring respiration and heart activity during magnetic resonance imaging examinations

et al. 2013

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“…ECG (the isointegral BSPM maps) shows abnormalities mainly during the depolarization period, whereas in MCG, better discrimination results from use of the abnormalities in the repolarization period [54]. MCG is also not affected by conductivity variations caused by the lungs, pericardial effusion, muscles, and skin, unlike ECG [51]. In MCG, there are no potentials generated by the skinelectrode interference needing to be filtered out, it does not require skin-electrode contact, which is prone to noise, as in body surface ECG.…”

Section: Main Differences Between Mcg and Ecgmentioning

confidence: 99%

“…The main difference between spatial ECG and MCG patterns is the spatial angle of 90° between them, an essential feature of the MCG and ECG maps [51]. ECG and MCG are sensitive to different configurations of the source current: body surface potential measurements reflect the flux of the primary current distribution whereas the magnetic measurements are associated with the curl of the same source [52].…”

Section: Main Differences Between Mcg and Ecgmentioning

confidence: 99%

Current Status and Future of Cardiac Mapping in Atrial Fibrillation

Kim¹,

Ahn²

2012

Atrial Fibrillation - Basic Research and Clinical Applications

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“…difference between the magnetic susceptibilities of blood ~b = 5.10-~ and body. The essence of the method of MPG developed in [9] based on the application of a DC test magnetic field The measurement is performed by means of the same magnetocardiograph since both MPG and MCG signals are input signals of the system. The MFG signal is received as a difference of MCG + MPG signals for opposite directions of magnetic field.…”

Section: Magnetic Susceptibility Of Human Blood and Internal Organsmentioning

confidence: 99%

Application of Superconducting Electronics to Registration of Biomagnetic Signals

Sosnitsky

Vojtovich

1996

J. Phys. IV France

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Abstract. Computer-aided systems used to measure superweak magnetic fields in a human body are created. A relaxation oscillation (RO) SQUID magnetometer is the basis of these systems. It is shown that if the RO operation mode is utilized, it becomes possible to improve the parameters and simplify the SQUID-magnetometer eIectronics. The software used for preprocessing provides the digital filtration, data input and accumulation, visual signalquality control and signal averaging and all this is done in a PCIAT. The magnetocardiogram (MCG) processing programs yield magnetic mapping, magnetic chart visualization, provide the correlational/ statistical analysis and magnetic signal source localization. The biomagnetic systems are now installed in the cardiological clinic. The spesialists examine MCGs, magnetoplehsmograms and perfom magnetic liver biopsy. More then 400 patients have been examined and the experience gained after such examinations shows that biomagnetic investigations aimed at human body organ disease diagnosis are of high informational value.

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Magnetic measurements of cardiac mechanical activity

Cited by 9 publications

References 10 publications

Fiber Bragg grating-based sensor for monitoring respiration and heart activity during magnetic resonance imaging examinations

Fiber Bragg grating-based sensor for monitoring respiration and heart activity during magnetic resonance imaging examinations

Current Status and Future of Cardiac Mapping in Atrial Fibrillation

Application of Superconducting Electronics to Registration of Biomagnetic Signals

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