Arrhythmia diagnosis system which can distinguish atrial rhythms from ventricular rhythms

Author

Minami, Kei-ichiro ; Ohkuma, Yutaro ; Nakajima, Hiroshi ; Toyoshima, Takeshi

Author_Institution

Res. & Dev., Medtronic Japan, Tokyo, Japan

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1640

Abstract

We propose an automatic arrhythmia diagnosis system which can distinguish atrial rhythms from ventricular rhythms. This system discriminates the origination of cardiac stimulation by analyzing QRS complex beat by beat with Fourier analysis and neural network pattern recognition, and then diagnoses arrhythmia with measurement of heart-rate. As well as implementation into a conventional single-chip processor, capability for instantaneous diagnosis and applicability to implant devices are demonstrated

Keywords

Fourier analysis; electrocardiography; medical signal processing; neural nets; pattern recognition; Fourier analysis; QRS complex; atrial rhythms; automatic arrhythmia diagnosis system; beat by beat; beat extraction; cardiac stimulation; conventional single-chip processor; electrocardiogram signals; heart-rate; implant devices; instantaneous diagnosis; neural network pattern recognition; ventricular rhythms; waveform analysis; Current measurement; Data mining; Electrocardiography; Heart rate variability; Medical diagnostic imaging; Neural networks; Rhythm; Signal analysis; Surgery; Virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647590

Filename

647590