|
|
A new magneto-cardiogram study using a vector model with a virtual heart and the boundary element method |
Zhang Chen (张琛)a b, Shou Guo-Fa (寿国法)c, Lu Hong (陆宏)a, Hua Ning (华宁)a, Tang Xue-Zheng (唐雪正)a, Xia Ling (夏灵)c, Ma Ping (马平)b, Tang Fa-Kuan (唐发宽)a |
a Department of Cardiology, the 309th Hospital of PLA, Beijing 100091, China; b Applied Superconductivity Research Center of Peking University, Department of Physics, State Key Laboratory for Artificial Microstructureand Mesoscopic Physics, Peking University, Beijing 100871, China; c Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of the Ministry of Education, Zhejiang University, Hangzhou 310027, China |
|
|
Abstract A cardiac vector model is presented and verified, and then the forward problem for cardiac magnetic fields and electric potential are discussed based on this model and the realistic human torso volume conductor model, including lungs. A torso-cardiac vector model is used for a 12-lead electrocardiographic (ECG) and magneto-cardiogram (MCG) simulation study by using the boundary element method (BEM). Also, we obtain the MCG wave picture using a compound four-channel HTc·SQUID system in a magnetically shielded room. By comparing the simulated results and experimental results, we verify the cardiac vector model and then do a preliminary study of the forward problem of MCG and ECG. Therefore, the results show that the vector model is reasonable in cardiac electrophysiology.
|
Received: 17 January 2013
Revised: 13 May 2013
Accepted manuscript online:
|
PACS:
|
07.05.Tp
|
(Computer modeling and simulation)
|
|
07.10.Cm
|
(Micromechanical devices and systems)
|
|
87.85.-d
|
(Biomedical engineering)
|
|
Fund: Project supported by the State Key Development Program for Basic Research of China (Grant No. 2011CBA00106), the National Natural Science Foundation of China (Grant Nos. 10674006, 81171421, and 61101046), and the National High Technology Research and Development Program of China (Grant No. 2007AA03Z238). |
Corresponding Authors:
Ma Ping, Tang Fa-Kuan
E-mail: maping@pku.edu.cn; tfk616@yahoo.com.cn
|
Cite this article:
Zhang Chen (张琛), Shou Guo-Fa (寿国法), Lu Hong (陆宏), Hua Ning (华宁), Tang Xue-Zheng (唐雪正), Xia Ling (夏灵), Ma Ping (马平), Tang Fa-Kuan (唐发宽) A new magneto-cardiogram study using a vector model with a virtual heart and the boundary element method 2013 Chin. Phys. B 22 090701
|
[1] |
Cohen D and Hosaka H 1976 J. Elektrocard. 9 409
|
[2] |
Erne S N 1985 Med. Biol. Eng. Comput. 23(S2) 1447
|
[3] |
Makijarvi M, Nenonen J, Leinio M and Montonen J 1992 J. Electrocardiology 25 143
|
[4] |
Ma P, Yao K, Xie F X, Zhang S Y, Deng P, He D F, Zhang F, Liu L Y, Nie R J, Wang F R, Wang S Z and Dai Y D 2002 Acta Phys. Sin. 51 224 (in Chinese)
|
[5] |
Tsukada K, Kandori A, Miyashita T, Sasabuti H, Suzuki H, Kondo S, Komiyama Y and Teshigawara K 1998 IEEE Eng. Med. Biol. Soc. 20 524
|
[6] |
Schlitt H A, Heller L, Aaron R, Best E and Ranken D M 1995 IEEE Trans. Biomed. Eng. 42 52
|
[7] |
Gencer N G and Tanzer I O 1999 Phys. Med. Biol. 44 2275
|
[8] |
Fuchs M, Kastner J, Wagner M, Hawes S and Ebersole J S 2002 Clin. Neurophysiol. 113 702
|
[9] |
Akalín-Acar Z and Gencer N G 2004 Phys. Med. Biol. 49 5011
|
[10] |
Tang F K, Wang Q, Hua N, Tang X Z, Lu H and Ma P 2010 Chin. Phys. B 19 120601
|
[11] |
Johnson C R 1997 CRC Crit. Rev. Biomed. Eng. 25 1
|
[12] |
Güllmar D, Reichenbach J R, Anwander A, Knösche T, Wolters C H and Eiselt M 2005 Int. J. Bioelectromagnetic 7 108
|
[13] |
Lemieuxy L, McBride A and Hand J W 1996 Phys. Med. Biol. 41 1079
|
[14] |
Wang Q, Ma P, Lu H, Tang X Z, Hua N and Tang F K 2009 Chin. Phys. B 18 5566
|
[15] |
Zhang L, Jiang S Q, Wang L, Luo M and Wang Y M 2005 Modern Scientific Instruments 4 31 (in Chinese)
|
[16] |
Malmivuo J 1995 Bioelectromagnetic, Vol. 8 (New York: Oxford University Press) p. 148
|
[17] |
Sarvas J 1987 Phys. Med. Biol. 32 11
|
[18] |
Shou G F, Xia L, Jiang M F, Wei Q, Liu F and Crozier S 2009 IEEE Trans. Biomed. Eng. 1454 52
|
[19] |
Geselowitz D B 1970 IEEE Trans. Magn. MAG-6 346
|
[20] |
Cuffin B N and Cohen D 1977 IEEE Trans. Biomed. Eng. BME-24 372
|
[21] |
Stenroos M, Mantynen V and Nenonen J 2007 Comput. Methods Programs Biomed. 88 256
|
[22] |
Ferguson A S, Zhang X and Stroink G 1994 IEEE Trans. Biomed. Eng. 41 455
|
[23] |
Xia L 1995 "A New Approach to Electrcardiographic Inverse Problem Studies: Solution in Terms of Heart-torso Model Parameters", Ph. D dissertation, (Hangzhou: Zhejiang University) (in Chinese)
|
[24] |
Lu W X and Xia L 1996 IEEE Trans. Biomed. Eng. 43 211
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|