{"id":3463,"date":"2023-12-30T10:48:45","date_gmt":"2023-12-30T09:48:45","guid":{"rendered":"https:\/\/www.um.sav.sk\/en\/?p=3463"},"modified":"2024-01-30T13:36:08","modified_gmt":"2024-01-30T12:36:08","slug":"2-two-steps-algorithm-for-computing-the-inverse-solution-of-electrocardiography","status":"publish","type":"post","link":"https:\/\/www.um.sav.sk\/en\/selected-results\/2-two-steps-algorithm-for-computing-the-inverse-solution-of-electrocardiography\/","title":{"rendered":"Two-steps algorithm for computing the inverse solution of electrocardiography"},"content":{"rendered":"

Investigators:<\/strong> Be\u00e1ta Ondru\u0161ov\u00e1, Peter Ti\u0148o, Jana \u0160vehl\u00edkov\u00e1<\/p>\n

This study addresses the non-invasive localization of cardiac abnormalities, specifically premature ventricular contractions (PVCs), through a newly proposed two-stage inversion solution for a dipole cardiac source. One of the inputs for solving the inversion problem is the surface potentials measured using a large number (128) of electrodes placed on the patient’s chest (called surface mapping). In this work, we evaluated the significance of each electrode using our proposed “greedy” algorithm and in a second step we solved the inverse problem using only the significant electrodes. The results revealed inter-patient variability in the importance of surface electrodes. By comparing localization error values, we demonstrated that accurate localization of PVCs can be achieved using a carefully selected subset (e.g., 64) of electrodes. These results highlight the potential of using a reduced number of electrodes to solve the inversion problem, which would make it possible to implement a more convenient and patient-friendly surface mapping method. The results are part of a dissertation that will be submitted by the end of 2023.<\/p>\n

Related project:<\/strong> VEGA 2\/0109\/22<\/p>\n

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Figure 1: Schematic of the two-step algorithm for computing the inverse problem<\/em><\/p>\n

Publications 2023: <\/strong><\/p>\n