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Time-Delay Mapping of High-Resolution Gastric Slow-Wave Activity.


ABSTRACT: Analytic monitoring of electrophysiological data has become an essential component of efficient and accurate clinical care. In the gastrointestinal (GI) field, recent advances in high-resolution (HR) mapping are now providing critical information about spatiotemporal profiles of slow-wave activity in normal and disease (dysrhythmic) states. The current approach to analyze GI HR electrophysiology data involves the identification of individual slow-wave events in the electrode array, followed by tracking and clustering of events to create a spatiotemporal map. This method is labor and computationally intensive and is not well suited for real-time clinical use or chronic monitoring.In this study, an automated novel technique to assess propagation patterns was developed. The method utilized time delays of the slow-wave signals which was computed through cross correlations to calculate velocity. Validation was performed with both synthetic and human and porcine experimental data.The slow-wave profiles computed via the time-delay method compared closely with those computed using the traditional method (speed difference: 7.2% ± 2.6%; amplitude difference: 8.6% ± 3.5%, and negligible angle difference).This novel method provides rapid and intuitive analysis and visualization of slow-wave activity.This techniques will find major applications in the clinical translation of acute and chronic HR electrical mapping for motility disorders, and act as a screening tool for detailed detection and tracking of individual propagating wavefronts, without the need for comprehensive standard event-detection analysis.

SUBMITTER: Paskaranandavadivel N 

PROVIDER: S-EPMC5292208 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Time-Delay Mapping of High-Resolution Gastric Slow-Wave Activity.

Paskaranandavadivel Niranchan N   OGrady Gregory G   Cheng Leo K LK  

IEEE transactions on bio-medical engineering 20160407 1


<h4>Goal</h4>Analytic monitoring of electrophysiological data has become an essential component of efficient and accurate clinical care. In the gastrointestinal (GI) field, recent advances in high-resolution (HR) mapping are now providing critical information about spatiotemporal profiles of slow-wave activity in normal and disease (dysrhythmic) states. The current approach to analyze GI HR electrophysiology data involves the identification of individual slow-wave events in the electrode array,  ...[more]

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