DocumentCode :
2701336
Title :
Predictive detection methods as the next era in biological signal processing: a case study of ECG analysis
Author :
Namarvar, H.H. ; Shahid, A. Vahid
Author_Institution :
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
68
Abstract :
An idea of a detection method in biological signal processing to predict the possibility of proneness to a disease is described. The goal of this study is to introduce a new methodology in better understanding of biological signals and create new tools for predictive diagnosis rather than detection of the existing defects, so that, make it possible to give a proper preventative procedure/treatment to the patient in advance. Although the complete achievement of such a goal is very far, it is proposed by a prospective study on the ECG signals that the development of such a method is possible. The preliminary results have been encouraging enough to justify our idea. Such a new generation of predictive detection methods would have a profound impact on the medical diagnosis.
Keywords :
electrocardiography; medical signal detection; medical signal processing; ECG analysis; biological signal processing; biological signals understanding; disease proneness prediction; electrodiagnostics; medical diagnosis; predictive detection methods; preventative procedure; Biomedical engineering; Biomedical signal processing; Cardiac disease; Cardiology; Cardiovascular diseases; Computer aided software engineering; Electrocardiography; Feature extraction; Risk analysis; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
ISSN :
1094-687X
Print_ISBN :
0-7803-7612-9
Type :
conf
DOI :
10.1109/IEMBS.2002.1134391
Filename :
1134391
Link To Document :
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