A digital filtering scheme for SQUID based magnetocardiography |
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Authors: | Zhu Xue-Min Ren Yu-Feng Yu Hong-Wei Zhao Shi-Ping Chen Geng-Hu Zhang Li-Hua and Yang Qian-Sheng |
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Institution: | Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100080, China |
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Abstract: | Considering the properties of slow change and quasi-periodicity of
magnetocardiography (MCG) signal, we use an integrated technique of adaptive
and low-pass filtering in dealing with two-channel MCG data measured by high
$T_{\rm c}$ SQUIDs. The adaptive filter in the time domain is based on a noise feedback
normalized least-mean-square (NLMS) algorithm, and the low-pass filter with
a cutoff at 100Hz in the frequency domain characterized by Gaussian functions is
combined with a notch at the power line frequency. In this way, both
relevant and irrelevant noises in original MCG data are largely eliminated.
The method may also be useful for other slowly varying quasi-periodical
signals. |
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Keywords: | SQUIDs adaptive filter magnetocardiography |
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