Title :
Optimum filter design for detecting QRS complexes in a cardiac signal — GA based approach
Author :
Jayasiri, Awantha ; Jayasekara, Buddhika ; Pallegedara, Achala
Author_Institution :
Dept. of Electr. Eng., Victoria Univ. of Technol., Melbourne, VIC
Abstract :
A technique for designing optimized filters by optimizing filter parameters could be used for detecting QRS complexes in electrocardiogram has been discussed. This system includes three stages. A pre amplifier stage, an anti alias filter for filter out unwanted higher frequencies with cutoff frequency 50 Hz and a eighth order Butterworth band pass filter to filter out noises in near desired frequencies and get the required signal with pass band of 10 Hz to15 Hz. Parameters of both filter stages are optimized using genetic algorithm based method for best suit to the application. Results show optimized filters can be derived with this technique with successful accuracy.
Keywords :
Butterworth filters; band-pass filters; electrocardiography; genetic algorithms; medical signal detection; medical signal processing; signal denoising; Butterworth band pass filter; QRS complex detection; cardiac signal; electrocardiogram signal; genetic algorithm; noise filtering; optimum filter design; Analog circuits; Artificial intelligence; Band pass filters; Cutoff frequency; Design optimization; Electrocardiography; Genetic algorithms; Low pass filters; Optimization methods; Signal design; Anti Aliasing filter; Butterworth filter; Electrocardiogram; Genetic Algorithms; QRS Complex;
Conference_Titel :
Industrial and Information Systems, 2007. ICIIS 2007. International Conference on
Conference_Location :
Penadeniya
Print_ISBN :
978-1-4244-1151-1
Electronic_ISBN :
978-1-4244-1152-8
DOI :
10.1109/ICIINFS.2007.4579146
