dc.contributor.author |
Avci, Recep |
|
dc.contributor.author |
Paskaranandavadivel, Niranchan |
|
dc.contributor.author |
Calder, Stefan |
|
dc.contributor.author |
Du, Peng |
|
dc.contributor.author |
Bradshaw, Leonard A |
|
dc.contributor.author |
Cheng, Leo K |
|
dc.coverage.spatial |
United States |
|
dc.date.accessioned |
2023-03-02T03:54:01Z |
|
dc.date.available |
2023-03-02T03:54:01Z |
|
dc.date.issued |
2019-07 |
|
dc.identifier.citation |
(2019). IEEE Engineering in Medicine and Biology Society. Conference Proceedings, 2019, 2336-2339. |
|
dc.identifier.isbn |
9781538613115 |
|
dc.identifier.issn |
2375-7477 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/63042 |
|
dc.description.abstract |
In this study, the use of magnetic dipole (MDP) approximation to localize the underlying source of magnetogastrographic (MGG) data was investigated. An anatomically realistic torso and a stomach model were used to simulate slow wave (SW) activities and magnetic fields (MFs). SW activity in the stomach was simulated using a grid-based finite element method. The SW activity at each time sample was represented by the dipoles generated for each element and MFs were computed from these dipoles including secondary sources in the torso. Gaussian noise was added to the MFs to represent experimental signal noise. MDP fitting was executed on the time samples of selected 2-second time frames, and goodness of fit (GOF) and the distance from the fitted MDP to the center of gravity (COG) of active dipoles were computed. Then, for each time frame, the spatial changes of COG and MDP positions in x-, y-, and z-directions and correlation scores were computed. Our results showed that MDP fitting was capable of identifying propagation patterns with mean correlation scores of 0.63 ± 0.30, 0.71 ± 0.19, and 0.81 ± 0.24 in x-, y-, and z-directions, respectively. The mean distance from COGs to the identified MDPs was 49±4 mm. The results were similar under the noise conditions as well. Our results suggest that source localization using MDP approximation can be useful to identify the propagation characteristics of SWs using MGG data. |
|
dc.format.medium |
Print |
|
dc.publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
|
dc.relation.ispartof |
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
|
dc.relation.ispartofseries |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference |
|
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 |
© 2019 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/#accepted |
|
dc.subject |
Stomach |
|
dc.subject |
Normal Distribution |
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dc.subject |
Electrodes |
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dc.subject |
Magnetics |
|
dc.subject |
Magnetic Fields |
|
dc.subject |
Science & Technology |
|
dc.subject |
Technology |
|
dc.subject |
Engineering, Biomedical |
|
dc.subject |
Engineering, Electrical & Electronic |
|
dc.subject |
Engineering |
|
dc.subject |
1109 Neurosciences |
|
dc.title |
Source localization for gastric electrical activity using simulated magnetogastrographic data. |
|
dc.type |
Conference Item |
|
dc.identifier.doi |
10.1109/embc.2019.8857384 |
|
pubs.begin-page |
2336 |
|
pubs.volume |
2019 |
|
dc.date.updated |
2023-02-24T23:05:25Z |
|
dc.rights.holder |
Copyright: IEEE |
en |
dc.identifier.pmid |
31946368 (pubmed) |
|
pubs.author-url |
https://www.ncbi.nlm.nih.gov/pubmed/31946368 |
|
pubs.end-page |
2339 |
|
pubs.finish-date |
2019-07-27 |
|
pubs.publication-status |
Published |
|
pubs.start-date |
2019-07-23 |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.elements-id |
789709 |
|
pubs.org-id |
Bioengineering Institute |
|
pubs.org-id |
Medical and Health Sciences |
|
pubs.org-id |
School of Medicine |
|
pubs.org-id |
Surgery Department |
|
pubs.org-id |
ABI Associates |
|
dc.identifier.eissn |
2694-0604 |
|
pubs.record-created-at-source-date |
2023-02-25 |
|