Effects of magnetogastrography sensor configurations in tracking slow wave propagation.
Effects of magnetogastrography sensor configurations in tracking slow wave propagation.
复制标题
胃磁图传感器配置对跟踪慢波传播的影响。
DOI:
10.1016/j.compbiomed.2020.104169
复制
发表时间:
2021-03
影响因子:
7.7
通讯作者:
Avci R
中科院分区:
文献类型:
--
作者:
Eichler CE;Cheng LK;Paskaranandavadivel N;Du P;Bradshaw LA;Avci R
Magnetogastrography (MGG) is a non-invasive method of assessing gastric slow waves (SWs) by recording the resultant magnetic fields. MGG can capture both SW frequency and propagation, and identify SW dysrhythmias that are associated with motility disorders. However, the impact of the restricted spatial coverage and sensor density on SW propagation tracking performance is unknown. This study simulated MGG using multiple anatomically specific torso geometries and two realistic SW propagation patterns to determine the effect of different sensor configurations on tracking SW propagation. The surface current density mapping and center-of-gravity tracking methods were used to compare four magnetometer array configurations: a reference system currently used in GI research and three hypothetical higher density and coverage arrays. SW propagation patterns identified with two hypothetical arrays (with coverage over at least the anterior of the torso) correlated significantly higher with simulated realistic 3 cycle-per-minute SW activity than the reference array (P=0.016, P=0.005). Furthermore, results indicated that most of the magnetic fields that contribute to the performance of SW propagation tracking were located on the anterior of the torso as further increasing the coverage did not significantly increase performance. A 30% decrease in sensor spacing within the same spatial coverage of the reference array also significantly increased correlation values by approximately 0.50 when the signal-to-noise ratio was 5 dB. This study provides evidence that higher density and coverage sensor layouts will improve the utility of MGG. Further work is required to investigate optimum sensor configurations across larger anatomical variations and other SW propagation patterns.
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DOI:
10.1109/tbme.2015.2502065
发表时间:
2016-08
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
作者:
Bradshaw LA;Kim JH;Somarajan S;Richards WO;Cheng LK
通讯作者:
Cheng LK
影响因子:
3.5
作者:
Lamart S;Imran R;Simon SL;Doi K;Morton LM;Curtis RE;Lee C;Drozdovitch V;Maass-Moreno R;Chen CC;Whatley M;Miller DL;Pacak K;Lee C
通讯作者:
Lee C
影响因子:
1.8
作者:
Kim, In-Seon;Ahn, San;Lee, Yong-Ho
通讯作者:
Lee, Yong-Ho
影响因子:
3.5
作者:
Bradshaw, L. A.;Irimia, A.;Richards, W. O.
通讯作者:
Richards, W. O.
影响因子:
3.5
作者:
Bradshaw LA;Cheng LK;Chung E;Obioha CB;Erickson JC;Gorman BL;Somarajan S;Richards WO
通讯作者:
Richards WO