ArticleIEEE transactions on bio-medical engineering2012
An improved method for the estimation and visualization of velocity fields from gastric high-resolution electrical mapping.
Article in IEEE transactions on bio-medical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Patterns of Abnormal Gastric Pacemaking After Sleeve Gastrectomy Defined by Laparoscopic High-Resolution Electrical Mapping.Obesity surgery · 2017Trial
- Mapping the variability of in vivo rat uterine electrical properties throughout the oestrous cycle.Experimental physiology · 2026Article
- Influence of isoflurane and propofol on gastric slow wave patterns and pacing efficacy in pigs.American journal of physiology. Gastrointestinal and liver physiology · 2025Article
- Relationship Between Intestinal Slow-waves, Spike-bursts, and Motility, as Defined Through High-resolution Electrical and Video Mapping.Journal of neurogastroenterology and motility · 2022Article
- Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate.Medical & biological engineering & computing · 2022Review
- Targeted ablation of gastric pacemaker sites to modulate patterns of bioelectrical slow wave activation and propagation in an anesthetized pig model.American journal of physiology. Gastrointestinal and liver physiology · 2022Article
- Gastric ablation as a novel technique for modulating electrical conduction in the in vivo stomach.American journal of physiology. Gastrointestinal and liver physiology · 2021Article
- The influence of interstitial cells of Cajal loss and aging on slow wave conduction velocity in the human stomach.Physiological reports · 2021Article
- High-resolution electrical mapping of porcine gastric slow-wave propagation from the mucosal surface.Neurogastroenterology and motility · 2017Article
- A novel retractable laparoscopic device for mapping gastrointestinal slow wave propagation patterns.Surgical endoscopy · 2017Article
- 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
- Functional physiology of the human terminal antrum defined by high-resolution electrical mapping and computational modeling.American journal of physiology. Gastrointestinal and liver physiology · 2016Article
- Characterization of Electrophysiological Propagation by Multichannel Sensors.IEEE transactions on bio-medical engineering · 2016Article
- A theoretical study of the initiation, maintenance and termination of gastric slow wave re-entry.Mathematical medicine and biology : a journal of the IMA · 2015Article
- The impact of surgical excisions on human gastric slow wave conduction, defined by high-resolution electrical mapping and in silico modeling.Neurogastroenterology and motility · 2015Article
- Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.Computers in biology and medicine · 2015Article
- Loss of Interstitial Cells of Cajal and Patterns of Gastric Dysrhythmia in Patients With Chronic Unexplained Nausea and Vomiting.Gastroenterology · 2015Article
- Gastric arrhythmias in gastroparesis: low- and high-resolution mapping of gastric electrical activity.Gastroenterology clinics of North America · 2015Review
- Slow wave conduction patterns in the stomach: from Waller's foundations to current challenges.Acta physiologica (Oxford, England) · 2015Review
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5 authors.
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Abstract
High-resolution (HR) electrical mapping is an important clinical research tool for understanding normal and abnormal gastric electrophysiology. Analyzing velocities of gastric electrical activity in a reliable and accurate manner can provide additional valuable information for quantitatively and qualitatively comparing features across and within subjects, particularly during gastric dysrhythmias. In this study, we compared three methods of estimating velocities from HR recordings to determine which method was the most reliable for use with gastric HR electrical mapping. The three methods were 1) simple finite difference (FD) 2) smoothed finite difference (FDSM), and 3) a polynomial-based method. With synthetic data, the accuracy of the simple FD method resulted in velocity errors almost twice that of the FDSM and the polynomial-based method, in the presence of activation time error up to 0.5 s. With three synthetic cases under various noise types and levels, the FDSM resulted in average speed error of 3.2% and an average angle error of 2.0° and the polynomial-based method had an average speed error of 3.3% and an average angle error of 1.7°. With experimental gastric slow wave recordings performed in pigs, the three methods estimated similar velocities (6.3-7.3 mm/s), but the FDSM method had a lower standard deviation in its velocity estimate than the simple FD and the polynomial-based method, leading it to be the method of choice for velocity estimation in gastric slow wave propagation. An improved method for visualizing velocity fields is also presented.
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