Superiority analysis of MLMS over adaptive filtering methods for hearth arrhythmias detection

Author

Khan, Muhammad Imran ; Hossain, Md Belayat ; Nokib Uddin, A.F.M.

Author_Institution

Dept. of Electron. & Commun. Eng., KUET, Khulna, Bangladesh

fYear

2012

fDate

20-22 Dec. 2012

Firstpage

145

Lastpage

148

Abstract

This paper shows a comparative analysis among adaptive filtering methods in case of QRS detection from ECG signal. It is found that modified LMS (Least Mean Squares algorithm) method inherits robustness and provides a high degree of detection performance even in cases of very noisy electrocardiographic signals. The excellent performance of modified LMS algorithm is confirmed by a sensitivity of 99.93% (75 false negatives) and a positive predictivity of 99.92% (82 false positives) against the MIT-BIH arrhythmia database.

Keywords

adaptive filters; electrocardiography; least mean squares methods; medical disorders; medical signal processing; signal denoising; ECG signal; LMS method; MIT-BIH arrhythmia database; MLMS superiority analysis; QRS detection; adaptive filtering methods; comparative analysis; detection performance; false negatives; false positives; hearth arrhythmias detection; least mean squares algorithm; noisy electrocardiographic signals; robustness; ECG; Heart Arrhythmia; MIT-BIH; QRS;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical & Computer Engineering (ICECE), 2012 7th International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4673-1434-3

Type

conf

DOI

10.1109/ICECE.2012.6471506

Filename

6471506