Normal vector magnetocardiogram

Nousiainen, J.; Oja, Sakari; Malmivuo, Jaakko

doi:10.1016/s0022-0736(94)80006-5

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…We use the approximation B QRS ~ m/r 2.6 (Nousiainen et al 1994) to account for distributed source effects. To calculate m , we require the distance from the heart to each magnetometer.…”

Section: Mcgmentioning

confidence: 99%

“…The distance range quoted here is for the range of individual magnetometer distances to the heart. Nousiainen et al (1994) Knappe et al (2010) With our channel spacing (7 cm), we estimate that each magnetometer is 7.6 cm from the heart when the array is centred above it.…”

Section: Mcgmentioning

confidence: 99%

“…A statistical summary of the QRS peaks of 13 subjects is presented in table 1, along with an estimation of the QRS dipole amplitude m. We use the approximation B QRS ∼ m/r 2.6 (Nousiainen et al 1994) to account for distributed source effects. To calculate m, we require the distance from the heart to each magnetometer.…”

Section: Mcgmentioning

confidence: 99%

See 2 more Smart Citations

Magnetocardiography with a modular spin-exchange relaxation-free atomic magnetometer array

Wyllie¹,

Kauer²,

Smetana³

et al. 2012

Phys. Med. Biol.

100

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We present a portable four-channel atomic magnetometer array operating in the spin exchange relaxation-free regime. The magnetometer array has several design features intended to maximize its suitability for biomagnetic measurement, specifically foetal magnetocardiography, such as a compact modular design and fibre coupled lasers. The modular design allows the independent positioning and orientation of each magnetometer. Using this array in a magnetically shielded room, we acquire adult magnetocadiograms. These measurements were taken with a 6–11 fT Hz−1/2 single-channel baseline sensitivity that is consistent with the independently measured noise level of the magnetically shielded room.

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“…We use the approximation B QRS ~ m/r 2.6 (Nousiainen et al 1994) to account for distributed source effects. To calculate m , we require the distance from the heart to each magnetometer.…”

Section: Mcgmentioning

confidence: 99%

Section: Mcgmentioning

confidence: 99%

See 1 more Smart Citation

Magnetocardiography with a modular spin-exchange relaxation-free atomic magnetometer array

Wyllie¹,

Kauer²,

Smetana³

et al. 2012

Phys. Med. Biol.

100

View full text Add to dashboard Cite

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Magnetocardiographic and Electrocardiographic Mapping Studies

Stroink

Lamothe

Gardner

1996

SQUID Sensors: Fundamentals, Fabrication and Applications

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Comparison of the Properties of EEG and MEG in Detecting the Electric Activity of the Brain

Malmivuo

2011

Brain Topogr

Self Cite

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Since the detection of the first biomagnetic signals in 1963 there has been continuous discussion on the properties and relative merits of bioelectric and biomagnetic measurements. In this review article it is briefly discussed the early history of this controversy. Then the theory of the independence and interdependence of bioelectric and biomagnetic signals is explained, and a clinical study on ECG and MCG that strongly supports this theory is presented. The spatial resolutions of EEG and MEG are compared in detail, and the issue of the maximum number of electrodes in EEG is also discussed. Finally, some special properties of EEG and MEG methods are described. In brief, the conclusion is that EEG and MEG are only partially independent and their spatial resolutions are about the same. Recording both of them brings some additional information on the bioelectric activity of the brain. These two methods have certain unique properties that make either of them more beneficial in certain applications.

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Normal vector magnetocardiogram

Cited by 7 publications

References 7 publications

Magnetocardiography with a modular spin-exchange relaxation-free atomic magnetometer array

Magnetocardiography with a modular spin-exchange relaxation-free atomic magnetometer array

Magnetocardiographic and Electrocardiographic Mapping Studies

Comparison of the Properties of EEG and MEG in Detecting the Electric Activity of the Brain

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