Application of Holter ECG Signal Analysis Based on Wavelet and Data Mining Technique
Ming-shi Ding · Journal of Tianjin University Science and Technology · 2006
The paper introduces the application of data mining technique and analyze the multi-frequency and strap-pass filter essence of wavelet transform in detail.Based on data mining theory and dyadic differential wavelet,new model for R peak detection in Holter ECG signal is proposed.We use the Mallat recursive filter al- gorithm to calculate wavelet transform and optimize the detection algorithm based on the equivalent filter tech- nique.The detection algorithm is tested with MIT/BIH arrhythmia database and reached the efficiency of 99% for R peak detection.In over 100 subjects in hospital applied with this algorithm,the test result reached 97% ef- fective detection rate.Now this algorithm module has been applied in business software and received great satis- faction from the users.