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Updated: Jun 26, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
Published on: June 27, 2025
Evaluation of a Neyman-Pearson heart-rate turbulence detector
Juan Pablo Martinez1, Pablo Laguna, Kristian Solem
1GTC. Aragon Institute of Engineering Research (I3A) University of Zaragoza / CIBER en Bioingeniería, Biomateriales y Biomedicina, Spain. jpmart@unizar.es
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.
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