Title :
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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.647590
