Literature DB >> 16384696

A new floating sensor array to detect electric near fields of beating heart preparations.

E Hofer1, F Keplinger, T Thurner, T Wiener, D Sanchez-Quintana, V Climent, G Plank.   

Abstract

A new flexible sensor for in vitro experiments was developed to measure the surface potential, Phi, and its gradient, E (electric near field), at given sites of the heart. During depolarisation, E describes a vector loop from which direction and magnitude of local conduction velocity theta can be computed. Four recording silver electrodes (14 microm x 14 microm) separated by 50 microm, conducting leads, and solderable pads were patterned on a 50 microm thick polyimide film. The conductive structures, except the electrodes, were isolated with polyimide, and electrodes were chlorided. Spacer pillars mounted on the tip fulfil two functions: they keep the electrodes 70 microm from the tissue allowing non-contact recording of Phi and prevent lateral slipping. The low mass (9.1 mg) and flexibility (6.33 N/m) of the sensor let it easily follow the movement of the beating heart without notable displacement. We examined the electrodes on criteria like rms-noise of Phi, signal-to-noise ratio of Phi and E, maximum peak-slope recording dPhi/dt, and deviation of local activation time (LAT) from a common signal and obtained values of 24-28 microV, 46 and 41 dB, 497-561 V/s and no differences, respectively. With appropriate data acquisition (sampling rate 100 kHz, 24-bit), we were able to record Phi and to monitor E and theta on-line from beat-to-beat even at heart rates of 600 beats/min. Moreover, this technique can discriminate between uncoupled cardiac activations (as occur in fibrotic tissue) separated by less than 1 mm and 1 ms.

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Year:  2005        PMID: 16384696     DOI: 10.1016/j.bios.2005.11.010

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  7 in total

1.  Using a Calculated Pulse Rate with an Artificial Neural Network to Detect Irregular Interbeats.

Authors:  Bih-Chyun Yeh; Wen-Piao Lin
Journal:  J Med Syst       Date:  2015-12-07       Impact factor: 4.460

2.  A 2D-computer model of atrial tissue based on histographs describes the electro-anatomical impact of microstructure on endocardiac potentials and electric near-fields.

Authors:  Fernando O Campos; Thomas Wiener; Anton J Prassl; Helmut Ahammer; Gernot Plank; Rodrigo Weber Dos Santos; Damián Sánchez-Quintana; Ernst Hofer
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Digital resolution enhancement of intracardiac excitation maps during atrial fibrillation.

Authors:  Keryn B Palmer; Nathaniel C Thompson; Peter S Spector; Jérôme Kalifa; Jason H T Bates
Journal:  J Clin Monit Comput       Date:  2014-07-15       Impact factor: 2.502

4.  Influence of ischemic core muscle fibers on surface depolarization potentials in superfused cardiac tissue preparations: a simulation study.

Authors:  Fernando O Campos; Anton J Prassl; Gunnar Seemann; Rodrigo Weber dos Santos; Gernot Plank; Ernst Hofer
Journal:  Med Biol Eng Comput       Date:  2012-03-13       Impact factor: 2.602

5.  Electroanatomical characterization of atrial microfibrosis in a histologically detailed computer model.

Authors:  Fernando O Campos; Thomas Wiener; Anton J Prassl; Rodrigo Weber dos Santos; Damian Sanchez-Quintana; Helmut Ahammer; Gernot Plank; Ernst Hofer
Journal:  IEEE Trans Biomed Eng       Date:  2013-04-03       Impact factor: 4.538

6.  Decomposition of fractionated local electrograms using an analytic signal model based on sigmoid functions.

Authors:  Thomas Wiener; Fernando O Campos; Gernot Plank; Ernst Hofer
Journal:  Biomed Tech (Berl)       Date:  2012-10       Impact factor: 1.411

7.  Sinoatrial Beat to Beat Variability Assessed by Contraction Strength in Addition to the Interbeat Interval.

Authors:  Helmut Ahammer; Susanne Scheruebel; Robert Arnold; Michael Mayrhofer-Reinhartshuber; Petra Lang; Ádám Dolgos; Brigitte Pelzmann; Klaus Zorn-Pauly
Journal:  Front Physiol       Date:  2018-05-18       Impact factor: 4.566

  7 in total

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