Literature DB >> 318576

Sampling rates required for digital recording of intracellular and extracellular cardiac potentials.

R C Barr, M S Spach.   

Abstract

Electrocardiograms and cardiac electrograms now frequently are measured for both clinical and experimental purposes by direct digital sampling, with no recording of the signal in analog form. This study examined the question of what sampling rates were required to measure accurately the continuous waveforms from the digital samples. Body surface waveforms and intracellular and extracellular waveforms measured directly from cardiac tissues were evaluated. Cardiac measurements included waveforms from the atrium, ventricle, atrioventricular transmission system and individual Purkinje strands. Sampling rates as high as 15,000 samples/sec were required to record accurately extracellular waveforms of the ventricular conduction system. Decreasing sampling rates were required as the recording site shifted through the ventricle to the body surface, where sampling rates as high as 1500 samples/sec were necessary.

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Year:  1977        PMID: 318576     DOI: 10.1161/01.cir.55.1.40

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  14 in total

1.  Sampling rate and the estimation of ensemble variability for repetitive signals.

Authors:  P Laguna; L Sörnmo
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Transmural and endocardial Purkinje activation in pigs before local myocardial activation after defibrillation shocks.

Authors:  Derek J Dosdall; Kang-An Cheng; Jian Huang; J Scott Allison; James D Allred; William M Smith; Raymond E Ideker
Journal:  Heart Rhythm       Date:  2007-02-20       Impact factor: 6.343

3.  Quantification of transmembrane currents during action potential propagation in the heart.

Authors:  Richard A Gray; David N Mashburn; Veniamin Y Sidorov; John P Wikswo
Journal:  Biophys J       Date:  2013-01-08       Impact factor: 4.033

4.  Adaptive sampling of intracellular and extracellular cardiac potentials with the fan method.

Authors:  A E Pollard; R C Barr
Journal:  Med Biol Eng Comput       Date:  1987-05       Impact factor: 2.602

5.  Prototype for real-time adaptive sampling using the fan algorithm.

Authors:  L N Bohs; R C Barr
Journal:  Med Biol Eng Comput       Date:  1988-11       Impact factor: 2.602

6.  Real-time adaptive sampling with the fan algorithm.

Authors:  L N Bohs; R C Barr
Journal:  Med Biol Eng Comput       Date:  1988-11       Impact factor: 2.602

7.  Comparison of methods for adaptive sampling of cardiac electrograms and electrocardiograms.

Authors:  S M Blanchard; R C Barr
Journal:  Med Biol Eng Comput       Date:  1985-07       Impact factor: 2.602

8.  Body surface potential mapping system equipped with a microprocessor for the dynamic observation of potential patterns.

Authors:  K Yajima; S Kinoshita; H Tanaka; T Ihara; T Furukawa
Journal:  Med Biol Eng Comput       Date:  1983-01       Impact factor: 2.602

9.  Signal source impedance of implanted pacemaker electrodes estimated from the spectral ratio between loaded and unloaded electrograms in man.

Authors:  L Mörkrid; O J Ohm; E Hammer
Journal:  Med Biol Eng Comput       Date:  1980-03       Impact factor: 2.602

10.  Novel technique for cardiac electromechanical mapping with magnetic resonance imaging tagging and an epicardial electrode sock.

Authors:  Owen P Faris; Frank J Evans; Daniel B Ennis; Patrick A Helm; Joni L Taylor; A Scott Chesnick; Michael A Guttman; Cengizhan Ozturk; Elliot R McVeigh
Journal:  Ann Biomed Eng       Date:  2003-04       Impact factor: 3.934

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