ML and MAP estimation of parameters for the Kalman filter and smoother applied to electrocardiographic imaging.
In electrocardiographic imaging (ECGI), one solves the inverse problem of electrocardiography (ECG) to reconstruct equivalent cardiac sources based on the body surface potential measurements and a mathematical model of the torso. Due to attenuation and spatial smoothing within the torso, this invers...
| Published in: | Medical & Biological Engineering & Computing Vol. 57; no. 10; pp. 2093 - 2114 |
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| Main Authors: | , |
| Format: | Journal Article |
| Published: |
Springer Nature
Oct2019
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| Online Access: | View this record in EBSCOhost |