A method for magnetocardiography functional localization based on boundary element method and Nelder–Mead simplex algorithm

Lu, Zhixing; Jiang, Dongxiang; Yang, Jianzhong

doi:10.1111/anec.12879

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Tysler et al [12] employed multiple dipole and inhomogeneous torso models with the boundary element method (BEM) to solve the inverse problem but less focused on uncertainties of torso and heart geometries. Later, as an advancement, Lu et al [14] used the single equivalent moving current dipole (SEMCD) and piecewise homogeneous volume conductor model and the Nelder-Mead (NM) simplex algorithm to demonstrate the changing magnitude, orientation, and position. However, the study was limited to the single dipole.…”

Section: Introductionmentioning

confidence: 99%

Forward problem of electrocardiography based on cardiac source vector orientations

Bhat,

2024

Biomed. Phys. Eng. Express

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To localize the unusual cardiac activities non-invasively, one has to build a prior forwardmodel that relates the heart, torso, and detectors. This model has to be constructed tomathematically relate the geometrical and functional activities of the heart. Several methods are available to model the prior sources in the forward problem, which results in the lead field matrix generation. In the conventional technique, the lead field assumed the fixed prior sources, and the source vector orientations were presumed to be parallel to the detector plane with the unit strength in all directions. However, the anomalies cannot always be expected tooccur in the same location and orientation, leading to misinterpretation and misdiagnosis. To overcome this, the work proposes a new forward model constructed using the VCG signals of the same subject. Furthermore, three transformation methods were used to extract VCG in constructing the time-varying lead field to steer to the orientation of the source rather than just reconstructing its activities in the inverse problem. In addition, the unit VCG loop of the acute ischemia patient was extracted to observe the changes compared to the normal subject. The abnormality condition was achieved by reducing the depolarization time by 15ms. The results involving the unit vectors of VCG demonstrated the anisotropic nature of cardiac source orientations, providing information about the heart's electrical activity.

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Section: Introductionmentioning

confidence: 99%

Forward problem of electrocardiography based on cardiac source vector orientations

Bhat,

2024

Biomed. Phys. Eng. Express

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“…In the past few years, indoor positioning research has mainly stopped at Wi-Fi, RFID, ZigBee, Bluetooth, and other technology fields. In recent years, with the gradual promotion of LEDs in the field of lighting, LEDs are known for their green environmental protection [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Research on Compression Sensing Positioning Algorithm of Indoor Complex Environment Visible Light Indoor Based on Hybrid APIT

2022

Computational Intelligence and Neuroscience

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In today’s highly urbanized world, indoor space is becoming more extensive and more complex, and under the increasingly urgent needs, indoor positioning has attracted people’s attention. With the rapid development of LED lighting technology, indoor positioning technology based on visible light communication has many advantages over traditional indoor positioning technology. Aiming at the influence of environmental factors such as noise and reflected light on the positioning accuracy, the compression perception theory is applied to the localization of visible light. The position of the receiving end in the positioning space is defined as a sparse variable in the discrete space. The power measurement matrix is expressed as the product of the observation matrix, and the sparse matrix and sparse vector in the compression perception theory are expressed. The traditional APIT algorithm is easy to misjudge unknown nodes in the triangle, resulting in low positioning accuracy of the algorithm. In this study, an indoor visible positioning algorithm based on hybrid APIT is proposed, which uses the area relationship of the triangle to determine the initial position of the unknown node, and then uses the tangent circle to further narrow the area where the unknown node may be located, and uses the hybrid centroid localization algorithm to obtain the estimated position of the unknown node.

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A method for magnetocardiography functional localization based on boundary element method and Nelder–Mead simplex algorithm

Cited by 2 publications

References 23 publications

Forward problem of electrocardiography based on cardiac source vector orientations

Forward problem of electrocardiography based on cardiac source vector orientations

Research on Compression Sensing Positioning Algorithm of Indoor Complex Environment Visible Light Indoor Based on Hybrid APIT

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