POLYNOMIAL APPROXIMATION FOR T WAVE PARAMETER RECOGNITION IN ECG PROCESSING


Abstract

To succesfully implement a telemedical system for diagnostic purposes it is necessary to verify the diagnostic value of the decision algorithms used to detect life threatening situations. ECG analysis is a useful tool for obtaining information about the overall patient condition, especially for the circulatory system. Proper recognition cannot be performed without creation of proper models, The first step is signal filtration and data preparation, followed by parameter extraction, comparison with the model and diagnosis presentation. Each of these steps reqires a certain approach to minimize the error. Proper filtration needs to be performed. Then, the QRS complex is detected and rythm is calculated. Afterwards, the remaining waves are detected. To be able to perform valuable time dependencies it is necessary to exactly mark the beginnings and ends of intervals. The proposed method is based on opproximating the signal around the wave with a polynomial of a certain degree. This allows detection of inflection points corresponding to the borders of the wave. The method was applied to a set of ECG signals recorced during rest and activity, the results are presented and discussed.


Keywords

approximation algorithms; electrocardiography; polynomial

Clifford G.D., Azuaje F., McSharry P.E.: Advanced Methods and Tools for ECG Analysis. Artech House Publishing, Boston/London 2006.

Delikat R.: 3-Lead ECG Interpretation. Western Oregon University, 2011.

Maciejewski M., Surtel W., Wójcik W., Masiak J., Dzida G., Horoch A.: Telemedical systems for home monitoring of patients with chronic conditions in rural environment. Ann Agric Environ Med. 21(1), 2014, 167–173.

Nayak S., Soni M.K., Bansal D.: Filtering techniques for ECG signal processing. International Journal of Research in Engineering & Applied Sciences 2(2), 2012, 671–679.

Omiotek Z., Wójcik W.: The use of Hellwig’s method for dimension reduction in feature space of thyroid ultrasound images. Informatyka, Automatyka, Pomiary 3, 2014, 14–17, [doi: 10.5604/20830157.1121333].

Pan J., Tompkins W.J.: A Real-Time QRS Detection Algorithm. IEEE Transactions on Biomedical Engineering BME-32 (3), 1985, 230–236.

Tompkins W.J. (Ed.): Biomedical Digital Signal Processing: C language examples and laboratory experiments for the IBM PC. Prentice Hall, 1993.

Waechter J.: Introduction to ECG’s: Rhythm Analysis. 2012.


Published : 2017-12-21


Maciejewski, M. (2017). POLYNOMIAL APPROXIMATION FOR T WAVE PARAMETER RECOGNITION IN ECG PROCESSING. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(4), 92-95. https://doi.org/10.5604/01.3001.0010.7370

Marcin Maciejewski  m.maciejewski@pollub.pl
Politechnika Lubelska, Instytut Elektroniki i Technik Informacyjnych, Zakład Teleinformatyki i Diagnostyki Medycznej  Poland