Title :
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
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;
Conference_Titel :
Industrial Instrumentation and Control (ICIC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/IIC.2015.7150865
