A simple and robust algorithm for the detection of QRS complexes

Author

Choudhary, Shikha ; Hamde, S.T.

Author_Institution

Instrum. Eng. Dept., S.G.G.S Inst. Of Eng. & Technol., Nanded, India

fYear

2015

fDate

28-30 May 2015

Firstpage

870

Lastpage

872

Abstract

The objective of this paper is to develop an easy, efficient and robust algorithm for the analysis of electrocardiogram signals. The technique used in this algorithm is based on the use of Moving Average Filters and Adaptive Thresholding for QRS complex detection. Several established ECG databases published on PhysioNet with sampling frequency ranging from 128Hz-1KHz, were used for analyzing the technique. The accuracy of the algorithm is determined on the basis of two statistical parameters: sensitivity (SE) and Positive Predictivity (+P).

Keywords

adaptive signal detection; electrocardiography; medical signal detection; medical signal processing; moving average processes; signal sampling; statistical analysis; ECG database; PhysioNet; QRS complex detection; adaptive thresholding; electrocardiogram signal analysis; frequency 128 Hz to 1 kHz; moving average filters; positive predictivity; robust algorithm; sampling frequency; sensitivity; simple algorithm; statistical parameters; Artificial neural networks; Databases; Electrocardiography; Estimation; Feature extraction; Standards; Electrocardiogram; Moving Average Filter; adaptive thresholding; positive predictivity; sensitivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Instrumentation and Control (ICIC), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/IIC.2015.7150865

Filename

7150865