Villa AC, Reyna CMA, Villa AR

Language: Spanish
References: 4
Page: 6-15
PDF size: 130.54 Kb.

ABSTRACT

This paper presents the development of algorithms that use the fuzziness index in order to measure significant time’s periods and amplitude points in consecutives ECG signals. The main of them adjusts a threshold to detect the presence or absence of a QRS complex. This thresholds is treated as a fuzzy threshold because it depends of health’s patient characteristics. In other words, with difficult quantification through discrete reasoning. This algorithm is complemented with the proposal of criterions to help in the detection of real existence of the Q and S waves. In this work we propose a modification of the tracking windows to find the P and T waves proposed by Laguna Lasosa⁴. We converted the window in a function depending of the fuzziness index of each ECG signal. This due to the variation of the electrocardiogram components which have a great dependence of the rhythm and the relative deformation between them. These algorithms and criterions were probed using 80 ECG signals (forty real signals from a Holter register and forty created artificially).

REFERENCES

1. Majalca R, Carmen y Mata GL. Segmentación de Imágenes utilizando Técnicas de Minimización de la Difusividad, Memoria Electro 2000: 143-149.

2. Webster JG. Encyclopedia of Medical Devices and Instrumentation, John Wiley & Sons, New York. 1988.

3. Villa C, Reyna M. Desarrollo de un algoritmo para detectar el complejo QRS utilizando operaciones para grafos borrosos, Memoria Electro 2000: 109-114.

4. Laguna L. Nuevas Técnicas de Procesado de señales electrocardiográficas: aplicación a registros de larga duración. Instituto de Cibernética, Universidad Politécnica de Cataluña – CSIC, Tesis Doctoral. 1990.