  This paper proposes the application of Discrete Wavelet Transform (DWT) to
detect the QRS (ECG is characterized by a recurrent wave sequence of P, QRS and
T-wave) of an electrocardiogram (ECG) signal. Wavelet Transform provides
localization in both time and frequency. In preprocessing stage, DWT is used to
remove the baseline wander in the ECG signal. The performance of the algorithm
of QRS detection is evaluated against the standard MIT BIH (Massachusetts
Institute of Technology, Beth Israel Hospital) Arrhythmia database. The average
QRS complexes detection rate of 98.1 % is achieved.
