An enhanced threshold free-method for T-Wave detection in noisy environment

      The electrocardiogram (ECG) signals provide information on the heart rate where it provides evidence to support the diagnoses of cardiac diseases and arrhythmias. Currently ,T-wave has been used to forecast Sudden Cardiac Death (SCD). T-wave recognition is an excellent indicator in the analysis and interpretation of cardiac arrhythmia. Based on this aspect, it is necessary to develop an accurate technique for the detection of these waves. The main aim of this current study is to develop a new threshold-free method for the detection of T wave peak in an (ECG), which was characterized by a threshold free detection of T peak with a special moving window for T wave (and can be used for  P wave) between  each two RR peaks. A Band pass filter and a notch filter are used to enhance the detection of these required peaks.  This algorithm is implemented using MATLAB tools. The database used in this work is downloaded from MIT-BIH Arrhythmia(Lead II).  The method is validated using 40 recorded data. The obtained average sensitivity and average positive predictivity of the detection method are 98.4% and 99.0% respectively.