Characteristic detection of QRS waves in ECG signals based on wavelet transform

The dyadic wavelet transform behaves a band-pass filter with different frequency band in every scale. So the paper adopts it to eliminate noises, such as myoelectric noise, baseline drift and 50HZ power line interference, which provide perfect waves for the real-time and exact characteristic identification of QRS waves in ECG signals using threshold arithmetic and avoid miscarriage of justice on the characteristic of ECG Signals in general identification methods. The algorithm was verified using ECG signals data in MIT/BIH databases and was proved to be effective.