Title :
A computationally efficient QRS detection algorithm for wearable ECG sensors
Author :
Wang, Y. ; Deepu, C.J. ; Lian, Y.
Author_Institution :
Nat. Univ. of Singapore, Singapore, Singapore
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
In this paper we present a novel Dual-Slope QRS detection algorithm with low computational complexity, suitable for wearable ECG devices. The Dual-Slope algorithm calculates the slopes on both sides of a peak in the ECG signal; And based on these slopes, three criterions are developed for simultaneously checking 1)Steepness 2)Shape and 3)Height of the signal, to locate the QRS complex. The algorithm, evaluated against MIT/BIH Arrhythmia Database, achieves a very high detection rate of 99.45%, a sensitivity of 99.82% and a positive prediction of 99.63%.
Keywords :
electric sensing devices; electrocardiography; medical signal detection; MIT/BIH arrhythmia database; computational complexity; detection rate; dual-slope QRS detection algorithm; positive prediction; wearable ECG sensors; Computational complexity; Databases; Detection algorithms; Electrocardiography; Medical services; Prediction algorithms; Sensors; Electrocardiogram; QRS detection; low complexity; wearable sensors; Algorithms; Arrhythmias, Cardiac; Diagnosis, Computer-Assisted; Electrocardiography, Ambulatory; Equipment Design; Equipment Failure Analysis; Humans; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091365
