Study on the Recognition of Electrogastric Signals Combining Multiple Decomposition Features

Ruijin Ma

Abstract


After de-noising, electrogastric signals can be analyzed and the category of the signals can be obtained. It can be observed from Fig.1 that the amount of the raw data of the generated waveform is too large. For the convenience of calculation, appropriate processing is necessary. In this paper, a method of kernel principal component analysis is used due to the characteristics of the waveform data.


Full Text:

PDF

References


Brown C.A., Scharner J, Felice K.(2011).Novel and recurrent EMD mutations in patients with Emery|[ndash]|Dreifuss muscular dystrophy, identify exon 2 as a mutation hot spot, Journal of Human Genetics.

Buist M.L., Cheng L.K., Sanders K.M. (2006).Multiscale modelling of human gastric electric activity: can the electrogastrogram detect functional electrical uncoupling, Experimental Physiology.

Cheng J., Yu D., Yang Y.(2006).Research on the Intrinsic Mode Function (IMF) Criterion in EMD Method, Mechanical Systems and Signal Processing, 20, 817-824.

Chey W.D., Shapiro B., Zawadsk A.i, Goodman K.(2001).Gastric emptying characteristics of novel 13C-Octanoate-labeled Muffin Meal, J Clin Gastroenterol, 32(5), 393-399.

Demir, B., Erturk, S. (2007). Hyperspectral image classification using relevance vector machines. IEEE Geoscience & Remote Sensing Letters, 4(4), 586-590.

Familoni B.O., Abell T.L., Zhao G., Voeller G. (2005).Driving Gastric Electrical Activity with Electrical Stimulation, Annals of Biomedical Engineering, 33(3), 356-364(9).

Golia S., Hittinahalli V. (2013). R N A.Ziehl-Neelsen staining, Tuberculosis, Auramine-O, LED microscopy.

Huang, N.E., Wu Z.(2004).A study of the characteristics of white noise using the empirical mode decomposition method, Proceedings of Royal Society London. A, No. 460, 1597-1611.

Jang J.K., Kuo T.S., Shieh M.J.(2001).Microcontroller-based EGG recording system, Biomed. Eng. Appl. Basis. Comm, (9)13, 226-230.

Kim S.G., Ryu S.I.(2013).Enamel matrix derivative for replanted teeth in animal models: a systematic review and meta-analysis, 38(4).

Piancastelli L.,Frizziero L., Marcoppido S., Donnarumma A., Pezzuti E. (2011). Fuzzy control system for recovering direction after spinning, International Journal of Heat and Technology, 29(2), 87-94.

Tello R.M., Müller S.M., Bastosfilho T.F.(2014).Comparison of new techniques based on EMD for control of a SSVEP-BCI.

Wu Z., Huang N.E. (2009).Ensemble Empirical Mode Decomposition:a noise-assisted data analysis method. Advances in Adaptive Data Analysis, 1, 1-41.

Yu D., Yang Y., Cheng J.(2007).The application of energy operator demodulation approach based on EMD in machinery faul diagnosis, Mechanical Systems and Signal Processing, 21, 668-677.


Refbacks

  • There are currently no refbacks.


Revista de la Facultad de Ingeniería,

ISSN: 2443-4477; ISSN-L:0798-4065

Edif. del Decanato de la Facultad de Ingeniería,

3º piso, Ciudad Universitaria,

Apartado 50.361, Caracas 1050-A,

Venezuela.

© Universidad Central de Venezuela