title: Body surface Laplacian mapping in patients with left or right ventricular bundle branch block.
abstract: Body surface Laplacian maps (BSLMs) have been previously reported to provide enhanced capability in localizing and resolving multiple spatially separate myocardial events. However, only a few studies have been reported on the clinical applications of BSLM. To test the clinical utility of BSLMs, BSLMs and body surface potential maps (BSPMs) during ventricular depolarization for complete right or left ventricular bundle branch block (CRBBB or CLBBB) were studied in ten patients in each group. As a control group, ten healthy subjects were also studied using the same procedure. One hundred and twenty-eight electrodes were placed uniformly over the entire chest and back of the subjects. BSLMs were computed from recorded potentials, using a numerical algorithm. The BSLMs showed multiple and more localized positive and negative activities compared with the BSPMs. In healthy subjects, the BSLMs showed multiple areas of positive activity overlying the RV, LV, and the RV outflow, and negative activity corresponding to RV free-wall breakthrough and LV anterolateral breakthrough sites, whereas the BSPMs could not separate RV and LV activities. In the patients with CRBBB, the BSLMs showed more localized areas of activity corresponding to the LV apex breakthrough and LV lateral breakthrough, and separated LV lateral and posterior activation. In the patients with CLBBB, the BSLMs showed multiple RV activation, and propagating activation of LV from lateral to posterior. The BSLMs appear to provide enhanced capability in detecting multiple ventricular electrical events associated with normal and abnormal conduction and a more detailed activation sequence of both ventricles in healthy subjects and in the patients with CRBBB and CLBBB. BSLM may provide an important alternative to other imaging modalities in localizing cardiac electrical activity noninvasively.
authors.affiliation: Department of Electrical Engineering and Computer Science, University of Illinois at Chicago 60607, USA.
authors.forename: K
authors.initials: K
authors.lastname: Umetani
authors.forename: Y
authors.initials: Y
authors.lastname: Okamoto
authors.forename: S
authors.initials: S
authors.lastname: Mashima
authors.forename: K
authors.initials: K
authors.lastname: Ono
authors.forename: H
authors.initials: H
authors.lastname: Hosaka
authors.forename: B
authors.initials: B
authors.lastname: He
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000328:Adult; D000368:Aged; D000465:Algorithms; D018780:Body Surface Potential Mapping / Q000295:instrumentation / Q000379:methods*; D002037:Bundle-Branch Block / Q000175:diagnosis* / Q000503:physiopathology; D002302:Cardiac Output / Q000502:physiology; D004562:Electrocardiography; D004566:Electrodes; D005260:Female; D006329:Heart Conduction System / Q000503:physiopathology; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis* / Q000503:physiopathology; D018497:Ventricular Dysfunction, Right / Q000175:diagnosis* / Q000503:physiopathology