Quantitative evaluation of signal integrity for magnetocardiography.
作者： Shulin Zhang , Yongliang Wang , Huiwu Wang , Shiqin Jiang , Xiaoming Xie
DOI: 10.1088/0031-9155/54/15/010
关键词: Signal 、 Time domain 、 Computer science 、 Noise (signal processing) 、 Frequency domain 、 Magnetocardiography 、 Signal processing 、 Background noise 、 Electronic engineering 、 Signal integrity
摘要: Magnetocardiography (MCG) is a non-invasive diagnostic tool used to investigate the activity of heart. For applications in an unshielded environment, order extract very weak signal interest from much higher background noise, dedicated hardware configuration and sophisticated processing techniques have been developed during last decades. Being powerful noise rejection, may introduce distortions, if not properly designed applied. However, there lack effective quantitatively evaluate integrity for MCG at present. In this paper, we introduced simple method by using small coil driven human ECG generate simulated signal. Three key performance indexes were proposed, which are correlation time domain, relative heights different peaks frequency system quantitatively. This evaluation was applied synthetic gradiometer consisting second-order axial three orthogonal reference magnetometers. The turned out be optimizing parameters processing. addition, can serve as useful improvement.
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D DiPietroPaolo, H-P Müller, S N Erné, A novel approach for the averaging of magnetocardiographically recorded heart beats. Physics in Medicine and Biology. ,vol. 50, pp. 2415- 2426 ,(2005) , 10.1088/0031-9155/50/10/016
RICCARDO FENICI, DONATELLA BRISINDA, JUKKA NENONEN, PETER FENICI, Phantom Validation of Multichannel Magnetocardiography Source Localization Pacing and Clinical Electrophysiology. ,vol. 26, pp. 426- 430 ,(2003) , 10.1046/J.1460-9592.2003.00063.X
X M Zhu, Y Tian, S P Zhao, G H Chen, Q S Yang, A noise feedback least-mean-square algorithm of data processing for SQUID-based magnetocardiography Superconductor Science and Technology. ,vol. 18, pp. 1054- 1059 ,(2005) , 10.1088/0953-2048/18/8/005
Vittorio Pizzella, Stefania Della Penna, Cosimo Del Gratta, Gian Luca Romani, SQUID systems for biomagnetic imaging Superconductor Science and Technology. ,vol. 14, ,(2001) , 10.1088/0953-2048/14/7/201
Ken Sakuta, Kaname Ogawa, Hideaki Tamai, Akifumi Mizukami, Takeshi Kobayashi, Noise Reduction Process with Generalized Harmonics Analysis for High-Temperature Superconducting Quantum Interference Device Magnetocardiography Japanese Journal of Applied Physics. ,vol. 41, ,(2002) , 10.1143/JJAP.41.L1059
B Farina, S Saponaro, E Pignoli, S Tomatis, R Marchesini, Monte Carlo simulation of light fluence in tissue in a cylindrical diffusing fibre geometry Physics in Medicine and Biology. ,vol. 44, pp. 1- 11 ,(1999) , 10.1088/0031-9155/44/1/002
Karsten Sternickel, Alex I Braginski, Biomagnetism using SQUIDs: status and perspectives Superconductor Science and Technology. ,vol. 19, ,(2006) , 10.1088/0953-2048/19/3/024
D. DiPietroPaolo, H.-P. Müller, G. Nolte, S. N. Erné, Noise reduction in magnetocardiography by singular value decomposition and independent component analysis. Medical & Biological Engineering & Computing. ,vol. 44, pp. 489- 499 ,(2006) , 10.1007/S11517-006-0055-Z
Jai-Wun Park, Peter M. Hill, Namsik Chung, Paul G. Hugenholtz, Friedrich Jung, Magnetocardiography predicts coronary artery disease in patients with acute chest pain. Annals of Noninvasive Electrocardiology. ,vol. 10, pp. 312- 323 ,(2005) , 10.1111/J.1542-474X.2005.00634.X
Birgit Hailer, Illja Chaikovsky, Sabine Auth‐Eisernitz, Harald Schäfer, Fritz Steinberg, Dietrich HW Grönemeyer, None, Magnetocardiography in coronary artery disease with a new system in an unshielded setting. Clinical Cardiology. ,vol. 26, pp. 465- 471 ,(2003) , 10.1002/CLC.4960261007