Biomedical signals analysis using time-frequency

Electrocardiogram (ECG) is a very important tool for cardiac health status measurement and detection of various diseases at their early stage. The electrocardiogram (ECG) is one of the major physiological signals generated from heart´s rhythmic polarization and depolarization. This work presents the application of the parametric and nonparametric time-frequency techniques of different ECG signals. The biomedical ECG signals used in this paper are a normal and an abnormal ECG. The results show a good localization of QRS complexes, T waves and determine frequency interval of QRS complex on the time-frequency plan. The results demonstrate the effectiveness the parametric time-frequency compared with the non parametric time-frequency techniques, and also show high accuracy of frequency change of the electrocardiogram ECG signals. The available ECG records in the MIT-BIH arrhythmia database are used to illustrate the effectiveness of the proposed methods.