An Ultra-Low Power QRS Complex Detection Algorithm Based on Down-Sampling Wavelet Transform

Low-power design has become a key technology for battery-power biomedical devices in Wireless Body Area Network. In order to meet the requirement of low-power dissipation for electrocardiogram related applications, a down-sampling QRS complex detection algorithm is proposed. Based on Wavelet Transfo...

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Bibliographic Details
Published in:IEEE signal processing letters 2013-05, Vol.20 (5), p.515-518
Main Authors: Yao Zou, Jun Han, Xinqian Weng, Xiaoyang Zeng
Format: Article
Language:English
Subjects:
Detection algorithms
Down-sampling
Electrocardiography
energy distribution
filter design
Frequency response
Power dissipation
QRS complex detection
Signal processing algorithms
wavelet transform
Wavelet transforms
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Summary:Low-power design has become a key technology for battery-power biomedical devices in Wireless Body Area Network. In order to meet the requirement of low-power dissipation for electrocardiogram related applications, a down-sampling QRS complex detection algorithm is proposed. Based on Wavelet Transform (WT), this letter characterizes the energy distribution of QRS complex corresponding to the frequency band of WT. Then this letter details for the first time the process of down-sampled filter design, and presents the time and frequency response of the filter. The algorithm is evaluated in fixed point on MIT-BIH and QT database. Compared with other existing results, our work reduces the power dissipation by 23%, 61%, and 72% for 1 ×, 2 ×, and 3 × down-sampling rate, respectively, while maintaining almost constant detection performance.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2013.2254475