Sistema de anotación semiautomático de señales electrocardiográficas de esfuerzo
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 pbkp_redictive 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 QRS detectors.
Año de publicación:
2016
Keywords:
Fuente:
Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Simulación por computadora
- Laboratorio médico
Áreas temáticas:
- Enfermedades
- Medicina y salud
- Ciencias de la computación