NDLI: The time constants for cathodic make stimulation of electrical syncytia: an application to cardiac pacing

Content Provider	IEEE Xplore Digital Library
Author	Suarez-Antola, R.E.
Copyright Year	2006
Description	Author affiliation: Electr. Eng. Dept., Catholic Univ. of Uruguay, Montevideo (Suarez-Antola, R.E.)
Abstract	In the framework of cardiac pacing, measured chronaxies are different for current and for voltage pulses. They increase with the distance between the pacing cathode and the myocardium, and with the size of the electrode. Mathematical formulae that relate the time constants (and the chronaxies) of the strength duration curves with the parameters of the system composed by the electrode, the volume conductor and the myocardium are used to explain the aforementioned experimental results and to discuss, from an engineering standpoint, some aspects related with thresholds for cardiac pacing, both for unipolar and bipolar pacing. These formulae are derived from a mathematical model of the electric stimulation of a syncytium framed in the bidomain theory. The time constants are given as increasing functions of a non dimensional number, equal to the quotient between a a certain characteristic length and myocardium's space constant. In the case of pacing electrodes, the characteristic length is a function of the size and shape of a region of influence of the cathode on the excitable tissue located adjacent to the electrode
Sponsorship	IEEE EMB
Starting Page	4031
Ending Page	4034
File Size	340746
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.259569
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Myocardium Pulse measurements Biomedical electrodes Threshold voltage Cathodes Conductors Volume measurement Anodes Shape measurement Pulse generation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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