| تعداد نشریات | 31 |
| تعداد شمارهها | 834 |
| تعداد مقالات | 8,015 |
| تعداد مشاهده مقاله | 14,852,914 |
| تعداد دریافت فایل اصل مقاله | 9,586,822 |
INTELLIGENT TECHNIQUE OF CANCELING MATERNAL ECG IN FECG EXTRACTION | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 3، دوره 5، شماره 1، اردیبهشت 2008، صفحه 27-45 اصل مقاله (254.47 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2008.314 | ||
| نویسندگان | ||
| C. KEZI SELVA VIJIILA* 1؛ P. KANAGASABAPATHY2 | ||
| 1DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING KARUNYA UNIVERSITY, COIMBATORE, INDIA | ||
| 2DEAN MIT CAMPUS, ANNA UNIVERSITY, CHENNAL, INDIA | ||
| چکیده | ||
| In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. Performance of the proposed method in terms of mean square error, signal to noise ratio is compared with neural network. Our results show that this method is a simple and powerful means for the extraction of FECG. | ||
| کلیدواژهها | ||
| Interference cancellation؛ Neuro fuzzy logic؛ Fetal ECG extraction | ||
| مراجع | ||
|
[1]K. Assalch and H. Al-Nashash, A novel technique for the extraction of fetal ECG using polynomial networks, IEEE Transactions in Biomedical Engineering, 52 (6) (2005),1148-1152. [2]K. Assaleh, Extraction of fetal electrocardiogram using adaptive neuro-fuzzy inference systems,IEEE Transactions in Biomedical Engineering, 54(1) (2007), 59-68. [3]M.G. Jafari, and J. A. Chambers, Fetal electrocardiogram extraction by sequential source separation in the wavelet domain, IEEE Transactions in Biomedical Engineering, 52( 3)(2005), 390-400. [4]J. S. R. Jang and N. Gulley, The fuzzy logic toolbox for use with MATLAB, MA: The MathWorks Inc., 1995. [5]J. S. R. Jang, ANFIS: adaptive–network-based fuzzy inference system, IEEE Transactions on Systems, Man and Cybernatics, 23(3) (1993), 665-685. [6]J. S. R. Jang, C. T. Sun and E. Mizuatani, Neuro-fuzzy and soft computing, Prentice Hall International Inc., 1997. [7]A. Khamene and S. Negahdaripour, A new method for the extraction of fetal ECG from the composite abdominal signal , IEEE Transactions in Biomedical Engineering, 47(4)(2000), 507-516.
[8]L. D. Lathauwer, B. D. Moor and J. Vandewalle, Fetal electrocardiogram extraction by blind source subspace separation, IEEE Transactions in Biomedical Engineering, 47(5)(2000), 567-572. [9]M. Martínez, E. Soria, J. Calpe, J. F. Guerrero and J. R. Magdalena GPDS, Application of the adaptive impulse correlated filter for recovering fetal electrocardiogram , Computers in Cardiology, Universitat deValència. Valencia, Spain, 2001. [10] C. Salustri, G. Barbati, and C. Porcaro, Fetal magnetocardiographic signals extracted by‘signal subspace’, blind source separation , IEEE Transactions in Biomedical Engineering, 52 (6) (2005), 1140-1142. [11]C. K. Selva Vijila, P. Kanagasabapathy and S. Johnson, Fetal ECG extraction using softcomputing technique , Journal of Applied Sciences, 6(2) (2006), 251-256. [12]V. Zarzoso and A. K. Nandi, Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation , IEEE Transactions in Biomedical Engineering,48(1) (2001), 12-18. | ||
|
آمار تعداد مشاهده مقاله: 2,836 تعداد دریافت فایل اصل مقاله: 1,994 |
||