A robust R-R interval estimator

Author

Kumar, C.H. ; Prasad, K.M. ; Reddy, M.K.

Author_Institution

Dept. of Electron. & Commun. Eng., Osmania Univ., Hyderabad, India

fYear

1995

fDate

15-18 Feb 1995

Abstract

Automated electrocardiogram monitoring traditionally involves the detection of QRS complexes. The techniques generally used to detect the QRS complexes are: (1) differentiation and (2) bandpass filtering. Both these methods are susceptible to noise and the performance degrades with decreasing S/N ratio. Therefore a new approach, that is relatively immune to noise, is suggested. The method uses a matched filter that maximizes the ratio of a peak signal voltage to RMS noise at the system output. It is easy to implement on a digital computer adding flexibility to the scheme

Keywords

band-pass filters; electrocardiography; matched filters; medical signal processing; patient monitoring; recursive filters; waveform analysis; QRS complex detection; RMS noise; S/N ratio; automated electrocardiogram monitoring; bandpass filtering; differentiation; digital computer; flexibility; matched filter; noise and; peak signal voltage; robust R-R interval estimator; system output; Biomedical engineering; Digital filters; Electrocardiography; Filtering; Finite impulse response filter; Matched filters; PSNR; Robustness; Signal design; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE

Conference_Location

New Delhi

Print_ISBN

0-7803-2711-X

Type

conf

DOI

10.1109/RCEMBS.1995.533062

Filename

533062