Evaluation of a Neyman-Pearson heart-rate turbulence detector
Abstract:
In this paper we propose and evaluate a Neyman-Pearson approach to detect and characterize heart-rate turbulence after ventricular premature beats (VPB). For quantification of the detection performance an evaluation dataset was built based on real RR interval series. The ROC curves obtained from the test set show the proposed method to outperform the detection capability of the two parameters currently used to quantify turbulence: turbulence onset and turbulence slope. © 2008 IEEE.
Año de publicación:
2008
Keywords:
- Detection theory
- Karhunen-Loève transform
- Neyman-Pearson
- Heart rate turbulence
Fuente:
scopusTipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Enfermedad cardiovascular
- Aprendizaje automático
Áreas temáticas de Dewey:
- Fisiología humana
- Medicina y salud
- Enfermedades
Objetivos de Desarrollo Sostenible:
- ODS 3: Salud y bienestar
- ODS 10: Reducción de las desigualdades
- ODS 9: Industria, innovación e infraestructura