Title :
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
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;
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
DOI :
10.1109/RCEMBS.1995.533062
