title: Bivariate phase-rectified signal averaging--a novel technique for cross-correlation analysis in noisy nonstationary signals.
abstract: Signals generated by biologic systems are characterized by a high degree of nonstationarities and noise. Phase-rectified signal averaging (PRSA) was shown to be superior to conventional methods in detection of periodicities in biologic signals. Bivariate phase-rectified signal averaging (BPRSA) is an extension of the PRSA-method for analysis of interrelationships between 2 synchronously recorded biologic signals. Here, we review the methodology of the technique and demonstrate its performance in simulated data. As application to biologic data, we use BPRSA to analyze synchronously recorded time series of systolic arterial blood pressure, RR intervals, and respiratory activity.
authors: Medizinische Klinik III, Eberhard Karls Universität Tübingen, Tübingen, Germany. axel.bauer@med.uni-tuebingen.de
authors: Axel
authors: A
authors: Bauer
authors: Petra
authors: P
authors: Barthel
authors: Alexander
authors: A
authors: Müller
authors: Jan
authors: J
authors: Kantelhardt
authors: Georg
authors: G
authors: Schmidt
mesh_terms: D000465:Algorithms; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009991:Oscillometry / Q000379:methods*; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic