EXTRACCIÓN DE CARACTERÍSTICAS DE LA SEÑAL ELECTROCARDIOGRÁFICA MEDIANTE SOFTWARE DE ANÁLISIS MATEMÁTICO

In this work a ECG analysis algorithm is applied based on standarized criterio, which is based a wavelet transform, for a the detection of significative points, belonging to the ECG signal, the QRS complex points, P an T waves. Which are distinguished from noise, base line and artifacts, thanks to the multi-scale characteristic of wavelet transform. The algorithm was proven using the MITBIT database, showing good global performance, including altered signals due to noise sources.