شماره ركورد كنفرانس :
1730
عنوان مقاله :
Biomedical Signal Denoising by Adaptive Wavelet Design Using Genetic Algorithms
عنوان به زبان ديگر :
Biomedical Signal Denoising by Adaptive Wavelet Design Using Genetic Algorithms
پديدآورندگان :
Masoodian Saleh نويسنده , Bazrafshan Amir نويسنده , Rajabi Mashhadi Habib نويسنده
تعداد صفحه :
4
كليدواژه :
medical signal processing , electrocardiography , Genetic algorithm , Genetic algorithms , Signal denoising , WAVELET , De-noise , digital signal processing
سال انتشار :
2012
عنوان كنفرانس :
بيستمين كنفرانس مهندسي برق ايران
زبان مدرك :
فارسی
چكيده لاتين :
In this paper a new technique for de-noising biomedical signals using wavelets is presented. In this method, genetic algorithm (GA) is combined with waveletde-noising technique. According to input noisy biomedical signal, by using genetic algorithm, a wide range of filters will be tested and the best of them will be chosen. In theother words, a special wavelet for any biomedical signals with any waveforms will be found using this technique,which is not the same as common wavelets. In this method, GA chooses the best wavelet that has the best signal to noise ratio (SNR). As an example some noisy ECG signals are denoisedby using this technique
شماره مدرك كنفرانس :
4460809
سال انتشار :
2012
از صفحه :
1
تا صفحه :
4
سال انتشار :
2012
لينک به اين مدرک :
بازگشت