Literature DB >> 8203613

Measuring activation patterns of the heart at a microscopic size scale with thin-film sensors.

E Hofer1, G Urban, M S Spach, I Schafferhofer, G Mohr, D Platzer.   

Abstract

To study the spread of excitation in ventricular heart preparations we have designed a fast, high-resolution recording and mapping system. Papillary muscles were dissected from the isolated guinea pig hearts. The preparation was fixed in a tissue bath and superfused with Tyrode solution. Linear and two-dimensional arrays of Ag/AgCl electrodes were made on glass with a thin-film technique. The transparent sensors with up to 24 electrodes (spaced 50, 90, or 180 microns apart) were positioned close to the surface of the preparation with a custom-designed three-dimensional micromanipulator. Extracellular signals were simultaneously recorded by a 24-channel data acquisition system with a 200 kHz per channel sample rate, with 12-bit amplitude resolution and a maximum data length of up to 3 MB. Digitized video images of the electrode array and the underlaying preparation were used to identify the locations of the recording sites. A UNIX-based computer system with a custom-designed data acquisition and database program was used to control the instruments and to manage the experimental data. This technique gave signals with excellent signal-to-noise ratios (up to 65 dB) and permitted accurate evaluation of the time and the site of the local activation with high resolution (to within 5 microseconds, 50 microns). We describe the spread of excitation within the area of a few cells and found a substantial dispersion of conduction velocities. Beat-to-beat comparison of activation patterns showed relatively small variations in the spread of excitation (a few microseconds).

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Year:  1994        PMID: 8203613     DOI: 10.1152/ajpheart.1994.266.5.H2136

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  2 in total

1.  Spatiotemporal estimation of activation times of fractionated ECGs on complex heart surfaces.

Authors:  Burak Erem; Dana H Brooks; Peter M van Dam; Jeroen G Stinstra; Rob S MacLeod
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

2.  Automatically generated, anatomically accurate meshes for cardiac electrophysiology problems.

Authors:  Anton J Prassl; Ferdinand Kickinger; Helmut Ahammer; Vicente Grau; Jürgen E Schneider; Ernst Hofer; Edward J Vigmond; Natalia A Trayanova; Gernot Plank
Journal:  IEEE Trans Biomed Eng       Date:  2009-02-06       Impact factor: 4.538

  2 in total

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