Key result
Non-linear systems analysis methods for heart rate variability complement traditional approaches and are demonstrated using computations on mouse data before and after atropine injection.
This minireview outlines traditional and non-linear methods for analyzing heart rate variability, demonstrating their application on mouse data.
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Non-linear HRV methods may complement traditional analysis in research; clinical translation leaves open pending human validation.
To complete traditional time- and frequency-domain analyses, new methods derived from non-linear systems analysis have recently been developed for time series studies. A panel of the most widely used methods of heart rate analysis is given with computations on mouse data, before and after a single atropine injection.
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Mansier et al. (1996) studied this question. Non-linear systems analysis methods for heart rate variability complement traditional approaches and are demonstrated using computations on mouse data before and after atropine injection.
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