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signal processing software matlab 8.2 r2013b  (MathWorks Inc)


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    MathWorks Inc signal processing software matlab 8.2 r2013b
    Signal Processing Software Matlab 8.2 R2013b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/signal processing software matlab 8.2 r2013b/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    signal processing software matlab 8.2 r2013b - by Bioz Stars, 2026-03
    90/100 stars

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    The process used for determination of optimal <t>LAT</t> <t>sampling</t> density. ( A ) The process is shown for a focal tachycardia in a 4×4 cm monolayer with fiber orientation of 18° to the x -axis. ( B ) Activation times are re-sampled at increasing sampling density and regional activation is re-interpolated to give the resulting ‘down-sampled’ activation maps. Sampling densities (points/cm 2 ) are given above each example map. ( C ) Mean normalized LAT map error at each sampling density is calculated by comparing activation times at each node with the original activation times in A. ( D ) Taking the first-derivative of the curve in ‘ C ’ indicates the sampling density at which minimal further improvement in map accuracy is generated.
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    The process used for determination of optimal <t>LAT</t> <t>sampling</t> density. ( A ) The process is shown for a focal tachycardia in a 4×4 cm monolayer with fiber orientation of 18° to the x -axis. ( B ) Activation times are re-sampled at increasing sampling density and regional activation is re-interpolated to give the resulting ‘down-sampled’ activation maps. Sampling densities (points/cm 2 ) are given above each example map. ( C ) Mean normalized LAT map error at each sampling density is calculated by comparing activation times at each node with the original activation times in A. ( D ) Taking the first-derivative of the curve in ‘ C ’ indicates the sampling density at which minimal further improvement in map accuracy is generated.
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    The process used for determination of optimal LAT sampling density. ( A ) The process is shown for a focal tachycardia in a 4×4 cm monolayer with fiber orientation of 18° to the x -axis. ( B ) Activation times are re-sampled at increasing sampling density and regional activation is re-interpolated to give the resulting ‘down-sampled’ activation maps. Sampling densities (points/cm 2 ) are given above each example map. ( C ) Mean normalized LAT map error at each sampling density is calculated by comparing activation times at each node with the original activation times in A. ( D ) Taking the first-derivative of the curve in ‘ C ’ indicates the sampling density at which minimal further improvement in map accuracy is generated.

    Journal: Europace

    Article Title: Local activation time sampling density for atrial tachycardia contact mapping: how much is enough?

    doi: 10.1093/europace/eux037

    Figure Lengend Snippet: The process used for determination of optimal LAT sampling density. ( A ) The process is shown for a focal tachycardia in a 4×4 cm monolayer with fiber orientation of 18° to the x -axis. ( B ) Activation times are re-sampled at increasing sampling density and regional activation is re-interpolated to give the resulting ‘down-sampled’ activation maps. Sampling densities (points/cm 2 ) are given above each example map. ( C ) Mean normalized LAT map error at each sampling density is calculated by comparing activation times at each node with the original activation times in A. ( D ) Taking the first-derivative of the curve in ‘ C ’ indicates the sampling density at which minimal further improvement in map accuracy is generated.

    Article Snippet: Custom software was written for determining the optimal LAT sampling point density (MATLAB 8.2, The Mathworks Inc., Natick, MA).

    Techniques: Sampling, Activation Assay, Generated

    Optimal LAT sampling densities. Calculated optimal LAT sampling densities are shown for simulated activation patterns ( A ) and in vivo LA activation patterns ( B ). FO, focal origin; MA, macro re-entry; MI, micro (localised) re-entry.

    Journal: Europace

    Article Title: Local activation time sampling density for atrial tachycardia contact mapping: how much is enough?

    doi: 10.1093/europace/eux037

    Figure Lengend Snippet: Optimal LAT sampling densities. Calculated optimal LAT sampling densities are shown for simulated activation patterns ( A ) and in vivo LA activation patterns ( B ). FO, focal origin; MA, macro re-entry; MI, micro (localised) re-entry.

    Article Snippet: Custom software was written for determining the optimal LAT sampling point density (MATLAB 8.2, The Mathworks Inc., Natick, MA).

    Techniques: Sampling, Activation Assay, In Vivo

    Porcine right atrial LAT maps. ( A ) Pre-ablation LAT shows uniform activation across the chamber from coronary sinus towards the right atrial appendage. ( B ) Post-ablation LAT shows a new activation detour (asterisk) via the mid-chamber gap in the ablation line. Ablation points are shown with red tags and catheter positions during ablation with pink dots using the Visitag Carto3 module. ( C ) Comparison between optimal LAT sampling density for pre- and post-ablation LAT maps.

    Journal: Europace

    Article Title: Local activation time sampling density for atrial tachycardia contact mapping: how much is enough?

    doi: 10.1093/europace/eux037

    Figure Lengend Snippet: Porcine right atrial LAT maps. ( A ) Pre-ablation LAT shows uniform activation across the chamber from coronary sinus towards the right atrial appendage. ( B ) Post-ablation LAT shows a new activation detour (asterisk) via the mid-chamber gap in the ablation line. Ablation points are shown with red tags and catheter positions during ablation with pink dots using the Visitag Carto3 module. ( C ) Comparison between optimal LAT sampling density for pre- and post-ablation LAT maps.

    Article Snippet: Custom software was written for determining the optimal LAT sampling point density (MATLAB 8.2, The Mathworks Inc., Natick, MA).

    Techniques: Activation Assay, Comparison, Sampling