Comparison of CWT with DWT for detecting Qrs Complex on Wearable ECG Recorder

• Published in: 2010 International Conference on Wavelet Analysis and Pattern Recognition pp. 300 - 303
• Main Authors: Uk-Jin Yoon, In-Seop Hwang, Yeon-Sik Noh, In-Cheol Chung, Hyung-Ro Yoon
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2010
• Subjects: Continuous wavelet transform; Continuous wavelet transforms; Discrete wavelet transform; Discrete wavelet transforms; ECG; Electrocardiography; Noise; QRS Detection; Wavelet analysis; wearable ECG Recorder (WER)
• ISBN: 1424465303; 9781424465309
• ISSN: 2158-5695
• DOI: 10.1109/ICWAPR.2010.5576361

Wearable ECG Recorder can detect not only Biosignal but also Motion artifact and other surrounding noises. This study used wavelet transform as a way of removing such noise and compared Continuous Wavelet Transform (CWT) and Discrete Wavelet Transform (DWT). Each transform is designed to optimize the QRS Complex. CWT was designed to detect the Maximum energy scale from QRS Complex. DWT was designed to decompose 8-Levels and to reconstruct detailed coefficient with the frequency of the QRS Complex. To test the performance of two methods, data were collected from MIT-BIH Arrhythmia Database and Wearable ECG Recorder(WER) at the speed of 3km/h, 6km/h, 9km/h, 12km/h. By analyzing the data from two methods, the effectiveness for detecting QRS Complex while eliminating the surrounding noises.