Basic Search
Home | Aims&Scope | Latest Numbers | Copyright Information | Contact
Subscription Information | Instructions for Authors | Editorial Board
 
User Panel
Email :
Password :
Lost Password | Create Account
 
Paper title: EFFECTS OF COMBINING STEINíS UNBIASED RISK ESTIMATE AND WAVELETS FOR DENOISING MAGNETOCARDIOGRAMS

Author(s): BEATRICE ARVINTI, ALEXANDRU ISAR, RONNY STOLZ, MARIUS COSTACHE,

Abstract:

Cardiac problems lead to significant health risks for nowadaysí society. Newly developed technologies, such as recording of the magnetic heart signal (magnetocardiograms), enable the passive monitoring of the heart activity. Still, the method is subjected to high amplitude magnetic interferences and reliable signal processing algorithms have to be developed. The present paper focuses on developing and enhancing wavelet based algorithms for the processing of magnetocardiograms, in order to offer accurate results for the diagnosis of cardiac problems. Different threshold values have been assigned for each wavelet decomposition level for performing the denoising better. The method is adaptive and based on minimizing Steinís unbiased risk estimate for each level, combined with a wavelet thresholding method. The results have been tested on acquired data and are compared both graphically and statistically for a good evaluation of the algorithmsí performances.

Keywords: Biomedical signal processing, Wavelets, Steinís unbiased estimate of risk, Adaptive filtering

Year: 2018 | Tome: 63 | Issue: 3 | Pp.: 344-349

Full text : PDF (694 KB)