Sistema de anotación semiautomático de señales electrocardiográficas de esfuerzo
Journal Title: MASKANA - Year 2016, Vol 7, Issue 3
Abstract
Despite the availability of electrocardiographic (ECG) databases does the medical sector not yet possesses an annotated stress database. This paper introduces an annotation system using RR-time series obtained from an eight lead stress database (DICARDIA). First, the system proposes to the user a lead (reference channel) according to its statistical measures. The user then undergoes a visual inspection validating or denying the channel proposed by the system. Afterwards, the system proposes two options based on the quality of the RR-time series. If the series contains few artifacts the annotations are realized using the interval of annotations; in the case of noisy series the system allows annotations beat by beat. The preliminary results realized over 172025 beats (approximately 15% of DICARDIA database) give a sensibility and positive predictive value of 97.66% and 96.71% respectively. The system will permit the delineation of stress databases, which will be an important starting point for evaluating the performance of QRSdetectors.
Authors and Affiliations
Juan Fajardo-Reinoso, Darwin Astudillo Salinas, Lizandro Solano Quinde, Sara Wong
Keywords
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