dc.contributor.author |
Avci, Recep |
|
dc.contributor.author |
Eichler, Chad E |
|
dc.contributor.author |
Paskaranandavadivel, Niranchan |
|
dc.contributor.author |
Du, Peng |
|
dc.contributor.author |
Angeli-Gordon, Timothy R |
|
dc.contributor.author |
Bradshaw, Leonard A |
|
dc.contributor.author |
Cheng, Leo K |
|
dc.coverage.spatial |
United States |
|
dc.date.accessioned |
2024-03-14T02:58:01Z |
|
dc.date.available |
2024-03-14T02:58:01Z |
|
dc.date.issued |
2022-11 |
|
dc.identifier.citation |
(2022). IEEE Transactions on Biomedical Engineering, 69(11), 3551-3558. |
|
dc.identifier.issn |
0018-9294 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/67745 |
|
dc.description.abstract |
Background: The motility patterns in the gastrointestinal tract are regulated, in part, by bioelectrical events known as slow waves (SWs). Understanding temporal and spatial features of gastric SWs can help reveal the underlying causes of functional motility disorders. Objective: This study investigated the ability of source localization techniques to characterize the spatial signatures of SW activity using simulated and experimental magnetogastrography data. Methods: Two SW propagation patterns (antegrade and retrograde) with two rhythms (normogastric and bradygastric) were used to simulate magnetic fields using 4 anatomically realistic stomach and torso geometries. Source localization was performed utilizing the equivalent current dipole (ECD) and the equivalent magnetic dipole (EMD) models. Results: In the normogastric simulations when compared with the SW activity, the EMD model was capable of identifying the SW propagation in the lateral, antero-posterior, and supero-inferior axes with the median correlation coefficients of 0.66, 0.53, and 0.83, respectively, whereas the ECD model produced lower correlation scores (median: 0.52, 0.44, and 0.44). Moreover, the EMD model resulted in distinct and opposite spatial signatures for the antegrade and retrograde propagation. Similarly, when experimental data was used, the EMD model revealed antegrade-like signatures where the propagation was mostly towards the third quadrant in the supero-inferior (preprandial: 49%, postprandial: 35%) and antero-posterior (preprandial: 49%, postprandial: 50%) axes. Conclusion and Significance: The EMD model was able to identify and classify the spatial signatures of SW activities, which can help to inform the interpretation of non-invasive recordings of gastric SWs as a biomarker of functional motility disorders. |
|
dc.format.medium |
Print-Electronic |
|
dc.language |
eng |
|
dc.publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
|
dc.relation.ispartofseries |
IEEE Transactions on Biomedical Engineering |
|
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights |
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.rights.uri |
https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ |
|
dc.subject |
Gastrointestinal Tract |
|
dc.subject |
Stomach |
|
dc.subject |
Gastrointestinal Motility |
|
dc.subject |
Postprandial Period |
|
dc.subject |
Magnetics |
|
dc.subject |
Magnetic Fields |
|
dc.subject |
40 Engineering |
|
dc.subject |
4003 Biomedical Engineering |
|
dc.subject |
Digestive Diseases |
|
dc.subject |
Clinical Research |
|
dc.subject |
Science & Technology |
|
dc.subject |
Technology |
|
dc.subject |
Engineering, Biomedical |
|
dc.subject |
Engineering |
|
dc.subject |
Computational modeling |
|
dc.subject |
Location awareness |
|
dc.subject |
Torso |
|
dc.subject |
Magnetic moments |
|
dc.subject |
SQUIDs |
|
dc.subject |
Magnetic analysis |
|
dc.subject |
Slow waves |
|
dc.subject |
magnetogastrography |
|
dc.subject |
source localization |
|
dc.subject |
functional gastric motility disorders |
|
dc.subject |
SLOW-WAVE |
|
dc.subject |
VOLUME CONDUCTOR |
|
dc.subject |
MODEL |
|
dc.subject |
PROPAGATION |
|
dc.subject |
PARAMETERS |
|
dc.subject |
RESOLUTION |
|
dc.subject |
FIELDS |
|
dc.subject |
0801 Artificial Intelligence and Image Processing |
|
dc.subject |
0903 Biomedical Engineering |
|
dc.subject |
0906 Electrical and Electronic Engineering |
|
dc.subject |
4009 Electronics, sensors and digital hardware |
|
dc.subject |
4603 Computer vision and multimedia computation |
|
dc.title |
Characterizing Spatial Signatures of Gastric Electrical Activity Using Biomagnetic Source Localization |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.1109/tbme.2022.3174847 |
|
pubs.issue |
11 |
|
pubs.begin-page |
3551 |
|
pubs.volume |
69 |
|
dc.date.updated |
2024-02-13T13:30:11Z |
|
dc.rights.holder |
Copyright: IEEE |
en |
dc.identifier.pmid |
35560086 (pubmed) |
|
pubs.author-url |
https://ieeexplore.ieee.org/document/9774897 |
|
pubs.end-page |
3558 |
|
pubs.publication-status |
Published |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Research Support, Non-U.S. Gov't |
|
pubs.subtype |
research-article |
|
pubs.subtype |
Journal Article |
|
pubs.subtype |
Research Support, N.I.H., Extramural |
|
pubs.elements-id |
903078 |
|
pubs.org-id |
Bioengineering Institute |
|
pubs.org-id |
ABI Associates |
|
dc.identifier.eissn |
1558-2531 |
|
pubs.number |
11 |
|
pubs.record-created-at-source-date |
2024-02-14 |
|
pubs.online-publication-date |
2022-10-19 |
|