Unknown

Dataset Information

Digital Semiology: A Prototype for Standardized, Computer-Based Semiologic Encoding of Seizures.


ABSTRACT: Video-EEG monitoring (VEM) is imperative in seizure classification and presurgical assessment of epilepsy patients. Analysis of VEM is currently performed in most institutions using a freeform report, a time-consuming process resulting in a non-standardized report, limiting the use of this essential diagnostic tool. Herein we present a pilot feasibility study of our experience with "Digital Semiology" (DS), a novel seizure encoding software. It allows semiautomated annotation of the videos of suspected events from a predetermined, hierarchal set of options, with highly detailed semiologic descriptions, somatic localization, and timing. In addition, the software's semiologic extrapolation functions identify characteristics of focal seizures and PNES, sequences compatible with a Jacksonian m

SUBMITTER: Benoliel T 

PROVIDER: S-EPMC8525609 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature