Title :
Reconstruction of multiple gastric electrical wave fronts using potential based inverse methods
Author :
Kim, J.H.K. ; Pullan, A.J. ; Cheng, L.K.
Author_Institution :
Auckland Bioeng. Inst., Univ. of Auckland, Auckland, New Zealand
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
The ability to reconstruct gastric electrical activity (termed slow waves) non-invasively from potential field measurements made on the torso surface would be a useful tool to aid in the clinical diagnosis of a number of gastric disorders. This is mathematically akin to the inverse problem of electrocardiography. To investigate this problem, an anatomically realistic torso model and an electrical stomach model were used to simulate potentials on the stomach and skin surfaces arising from normal gastric electrical activity. Gaussian noise was added to the torso potentials to represent experimental signal noise. The stomach potentials, activation profiles and gastric slow wave velocities were inversely reconstructed from the torso potentials, using the Tikhonov-Greensite inverse method with regularisation determined using an L-curve method. The inverse solutions were then compared with the known input solutions. The reconstructed solutions were able to represent the presence of multiple propagating wave fronts, determine average activation times to within 5 s and average velocities to within 1 mm/s. When more virtual body surface electrodes were used in the inverse calculations, the accuracy of the reconstructed activity improved.
Keywords :
Gaussian noise; bioelectric phenomena; biological organs; biomedical electrodes; electrocardiography; inverse problems; medical disorders; patient diagnosis; skin; Gaussian noise; L-curve method; Tikhonov-Greensite inverse method; clinical diagnosis; electrical stomach model; electrocardiography; gastric disorders; gastric electrical activity; gastric slow wave velocity; inverse problem; multiple gastric electrical wave front reconstruction; potential based inverse method; potential field measurement; signal noise; skin surface; torso model; torso potential; torso surface; virtual body surface electrodes; Electric potential; Electrodes; Skin; Stomach; Surface reconstruction; Surface waves; Torso; Computer Simulation; Electromyography; Gastric Emptying; Humans; Models, Biological; Muscle, Smooth; Myoelectric Complex, Migrating; Stomach;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090319