QRS detection algorithm based on the quadratic filter

作者：

Highlights：

• QRS detection algorithm with noise removal method based on the quadratic filter.

• Results show the significant improvement in QRS signal to noise ratio.

• Use only a single fixed threshold without additional post processing techniques.

• Evaluate the algorithm with 109,483 beats of QRS complexes from MIT-BIH database.

• Achieve overall sensitivity 99.82% and positive predictive rate 99.81%.

摘要

•QRS detection algorithm with noise removal method based on the quadratic filter.•Results show the significant improvement in QRS signal to noise ratio.•Use only a single fixed threshold without additional post processing techniques.•Evaluate the algorithm with 109,483 beats of QRS complexes from MIT-BIH database.•Achieve overall sensitivity 99.82% and positive predictive rate 99.81%.

论文关键词：Electrocardiography (ECG),ECG beat detection,QRS detection,Signal processing,Quadratic filter,Volterra filter

论文评审过程：Available online 19 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.012