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Title [sv]
Analys av interaktion mellan olika kardiovaskulära signaler baserat på linjära tillståndsmodeller
Title [en]
State-space approach for analysis of the short-term interactions in systems with circular causality: Assessment of the autonomic control of heart rate and blood pressure variability
Abstract [sv]
Analysis of heart rate variability (HRV) is a tool for non-invasive assessment of autonomic function disturbances. The general aim is to develop methods to characterise the short-term interactions in the beat-to-beat fluctuations in heart rate and blood pressure. Our novel approach is to focus on state-space modelling ? a frequently used tool for analysis and design of automatic control systems, but only have been used for cardiovascular signal analysis in few studies. Specific aims: We intend to develop algorithms for detection and analysis of short-term interactions in cardiovascular signals by: a) analysis and evaluation of state-space models b) state-space modelling for analysis of causal relationships, and c) subband modelling of cardiovascular signals.The analytical methods will be evaluated in close collaboration with different medical researchers. Previous results: This project is based on a previous method for analysis of causal relationships based on bivariate models of HRV and systolic blood pressure. Our study will also include the influence of respiration in the models of the cardiovascular system. Importance: This project will be of direct clinical relevance in patients where abnormal HRV patterns are difficult to detect, particularly in subjects with marked fluctuations in all recorded signals. High HRV is normally interpreted as increased vagal modulation of the sinus node, but could be due to undetected arrhythmia ? a completely different diagnosis.
Principal InvestigatorWiklund, Urban
Coordinating organisation
Umeå University
2009-01-01 - 2011-12-31
DiVA, id: project:867Project, id: 2008-03292_VR

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