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

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

5641

Lastpage

5644

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091365

Filename

6091365