Title :
A prejugment based low power R-peak detection algorithm
Author :
Chaojun Zhao ; Jianyi Meng ; Zhijian Chen ; Xiaolang Yan
Author_Institution :
Inst. of VLSI Design, Zhejiang Univ., Hangzhou, China
Abstract :
This paper proposed a prejudgment based R peak detection algorithm. Based on the discrete wavelet transform (DWT), a low computation complex QRS prejudging step and a RR interval prejudgment mechanism are employed to locate the QRS complex and find the R peak. While keeping the detection accuracy, the algorithm reduces the DWT computation. The MIT/BIH database results show average sensitivity of 99.79% and positive prediction of 99.85%. Comparing to the DWT algorithm, the algorithm achieves 77.9% power reduction.
Keywords :
discrete wavelet transforms; electrocardiography; medical signal detection; DWT; ECG; MIT-BIH database; QRS complex; RR interval prejudgment mechanism; discrete wavelet transform; power reduction; prejudgment based low power R-peak detection algorithm; Abstracts; Accuracy; Discrete wavelet transforms; Heuristic algorithms; Medical services; Monitoring; DWT; QRS; R-peak detect; RR interval; prejudge;
Conference_Titel :
Solid-State and Integrated Circuit Technology (ICSICT), 2014 12th IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4799-3296-2
DOI :
10.1109/ICSICT.2014.7021490
