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An economical magnetocardiogram (MCG) system is built in our laboratory. It mainly consists of a MCG data acquisition stage equipped with two high-To superconducting quantum interference device (SQUID) magnetometers, a data processing stage with digital filtering and a one-layer μ-metal magnetically shielded room in conjunction with a high-Tc SQUID based active compensation. Experimental results show that a noise level of pico-tesla in MCG profiles, which is necessary for clinical applications, may be achieved with the system. Moreover, stable and convenient operations of the system are demonstrated with simulating MCG measurements. 相似文献
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Singular value decomposition with normalized period for magnetocaridiography signal processing 下载免费PDF全文
In this paper, we have developed an algorithm based on singular value
decomposition (SVD) for matrix. And the novel SVD algorithm with normalized
period of cardiac cycles is presented. The results from real
magnetocardiography (MCG) data processing show that the new algorithm is
better than the standard one not only in suppressing noises, but also in
providing high-fidelity MCG signals. 相似文献
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An NLMS algorithm with optimized preparatory step-size parameters for
SQUID-based MCG data processing 下载免费PDF全文
We present a new least-mean-square algorithm of adaptive filtering to
improve the signal to noise ratio for magnetocardiography data collected
with high-temperature SQUID-based magnetometers. By frequently adjusting the
adaptive parameter $\alpha $ to systematic optimum values in the course of
the programmed procedure, the convergence is accelerated with a highest
speed and the minimum steady-state error is obtained simultaneously. This
algorithm may be applied to eliminate other non-steady relevant noises as
well. 相似文献
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