A framework for the online analysis of multi-electrode gastric slow wave recordings

Bull, Simon Henry; O’Grady, Greg; Cheng, Leo K.; Pullan, Andrew J.

doi:10.1109/iembs.2011.6090498

Cited by 10 publications

(12 citation statements)

References 8 publications

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“…Whereas in cardiac tissue preparations it is standard to invoke a propagation wave and then a secondary stimulus to induce re-entry (Thakor and Fishler 1997), in GI tissue this type of preparation is less easy to achieve, given the response of the tissue to stimulus. To this end, an online identification and visualization system may be required to reliably deliver stimulus relative to the normal propagating wavefront (Bull, O'Grady et al 2011). …”

Section: Discussionmentioning

confidence: 99%

A theoretical study of the initiation, maintenance and termination of gastric slow wave re-entry

Paskaranandavadivel

O’Grady

et al. 2014

Math Med Biol

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Gastric slow wave dysrhythmias are associated with motility disorders. Periods of tachygastria associated with slow wave re-entry were recently recognized as one important dysrhythmia mechanism, but factors promoting and sustaining gastric reentry are currently unknown. This study reports two experimental forms of gastric re-entry and presents a series of multi-scale models that define criteria for slow wave re-entry initiation, maintenance, and termination. High-resolution electrical mapping was conducted in porcine and canine models and two spatiotemporal patterns of re-entrant activities were captured: single-loop rotor and double-loop figure-of-eight. Two separate multi-scale mathematical models were developed to reproduce the velocity and entrainment frequency of these experimental recordings. A single-pulse stimulus was used to invoke a rotor re-entry in the porcine model and a figure-of-eight re-entry in the canine model. In both cases, the simulated re-entrant activities were found to be perpetuated by tachygastria that was accompanied by a reduction in the propagation velocity in the re-entrant pathways. The simulated re-entrant activities were terminated by a single-pulse stimulus targeted at the tip of re-entrant wave, after which normal antegrade propagation was restored by the underlying intrinsic frequency gradient. Main findings: (i) the stability of re-entry is regulated by stimulus timing, intrinsic frequency gradient and conductivity; (ii) tachygastria due to re-entry increases the frequency gradient while showing decreased propagation velocity; (iii) re-entry may be effectively terminated by a targeted stimulus at the core, allowing the intrinsic slow wave conduction system to re-establish itself.

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Section: Discussionmentioning

confidence: 99%

A theoretical study of the initiation, maintenance and termination of gastric slow wave re-entry

Paskaranandavadivel

O’Grady

et al. 2014

Math Med Biol

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“…In an offline setting, this automated method took on average around 30 ms to classify 12 minutes of recordings. This method is particularly advantageous in an online setting where the computational overhead is a significant factor for implementation and visualization [9]. Here we have applied this method to gastric HR slow wave recordings, but it can be used for HR mapping of other gastrointestinal organs exhibiting slow wave activity such as the intestine.…”

Section: Discussionmentioning

confidence: 99%

“…The proposed method was developed with the intention of analyzing, defining, and summarizing pertinent distinguishing features of gastric slow wave recordings under normal and dysrhythmic conditions. This method was designed with features that make it suitable for both offline and online signal processing, frameworks of which have been previously described [8], [9], [10]. …”

Section: Introductionmentioning

confidence: 99%

Automated classification of spatiotemporal characteristics of gastric slow wave propagation

Paskaranandavadivel

Gao

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Gastric contractions are underpinned by an electrical event called slow wave activity. High-resolution electrical mapping has recently been adapted to study gastric slow waves at a high spatiotemporal detail. As more slow wave data becomes available, it is becoming evident that the spatial organization of slow wave plays a key role in the initiation and maintenance of gastric dsyrhythmias in major gastric motility disorders. All of the existing slow wave signal processing techniques deal with the identification and partitioning of recorded wave events, but not the analysis of the slow wave spatial organization, which is currently performed visually. This manual analysis is time consuming and is prone to observer bias and error. We present an automated approach to classify spatial slow wave propagation patterns via the use of Pearson cross correlations. Slow wave propagations were grouped into classes based on their similarity to each other. The method was applied to high-resolution gastric slow wave recordings from four pigs. There were significant changes in the velocity of the gastric slow wave wavefront and the amplitude of the slow wave event when there was a change in direction to the slow wave wavefront during dsyrhythmias, which could be detected with the automated approach.

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“…The developed system and method was tested in vivo in a porcine model, and validated against existing off-line and manual analysis approaches. Aspects of this software and preliminary results have previously been reported in abstract form at an IEEE EMBS conference [15]. …”

Section: Introductionmentioning

confidence: 99%

A System and Method for Online High-Resolution Mapping of Gastric Slow-Wave Activity

Bull

O’Grady

et al. 2014

IEEE Trans. Biomed. Eng.

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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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A framework for the online analysis of multi-electrode gastric slow wave recordings

Cited by 10 publications

References 8 publications

A theoretical study of the initiation, maintenance and termination of gastric slow wave re-entry

A theoretical study of the initiation, maintenance and termination of gastric slow wave re-entry

Automated classification of spatiotemporal characteristics of gastric slow wave propagation

A System and Method for Online High-Resolution Mapping of Gastric Slow-Wave Activity

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