ArticleIEEE transactions on bio-medical engineering2014
A system and method for online high-resolution mapping of gastric slow-wave activity.
Article in IEEE transactions on bio-medical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Methods and Techniques for Closed-Loop Gastrointestinal Pacing.Neurogastroenterology and motility · 2026Article
- Time-Delay Mapping of High-Resolution Gastric Slow-Wave Activity.IEEE transactions on bio-medical engineering · 2017Article
- Acute Slow Wave Responses to High-Frequency Gastric Electrical Stimulation in Patients With Gastroparesis Defined by High-Resolution Mapping.Neuromodulation : journal of the International Neuromodulation Society · 2016Article
- Iterative Covariance-Based Removal of Time-Synchronous Artifacts: Application to Gastrointestinal Electrical Recordings.IEEE transactions on bio-medical engineering · 2016Article
- Simultaneous anterior and posterior serosal mapping of gastric slow-wave dysrhythmias induced by vasopressin.Experimental physiology · 2016Article
- Detection of the Recovery Phase of in vivo gastric slow wave recordings.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2015Article
- Extending the automated gastrointestinal analysis pipeline: Removal of invalid slow wave marks in gastric serosal recordings.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2015Article
- The virtual intestine: in silico modeling of small intestinal electrophysiology and motility and the applications.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
High-resolution (HR) mapping employs multielectrode arrays to achieve spatially detailed analyses of propagating bioelectrical events. A major current limitation is that spatial analyses must currently be performed "off-line" (after experiments), compromising timely recording feedback and restricting experimental interventions. These problems motivated development of a system and method for "online" HR mapping. HR gastric recordings were acquired and streamed to a novel software client. Algorithms were devised to filter data, identify slow-wave events, eliminate corrupt channels, and cluster activation events. A graphical user interface animated data and plotted electrograms and maps. Results were compared against off-line methods. The online system analyzed 256-channel serosal recordings with no unexpected system terminations with a mean delay 18 s. Activation time marking sensitivity was 0.92; positive predictive value was 0.93. Abnormal slow-wave patterns including conduction blocks, ectopic pacemaking, and colliding wave fronts were reliably identified. Compared to traditional analysis methods, online mapping had comparable results with equivalent coverage of 90% of electrodes, average RMS errors of less than 1 s, and CC of activation maps of 0.99. Accurate slow-wave mapping was achieved in near real-time, enabling monitoring of recording quality and experimental interventions targeted to dysrhythmic onset. This work also advances the translation of HR mapping toward real-time clinical application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.