Abstract
Abstract Poincaré plot is a return map which can help perform graphical analysis of data. We can also fit an ellipse to the plot shape by determining descriptors SD1, SD2 and SD1/SD2 ratio to study the data quantitatively. In this paper we show examples of application of Poincaré plots in analysis of various kinds of biomedical signals: RR intervals, EMG, gait data and EHG.
Highlights
In the study of biomedical signals we are always searching for new methods of analysis
In this paper we share the results of the application of an interesting and simple nonlinear method – Poincare plot
Our aim is to show how this method works on biomedical signals and what new information can be obtained in this way
Summary
In the study of biomedical signals we are always searching for new methods of analysis. Analyzed Signals (R-R Intervals, EMG Signals, Gait Data and EHG Records) and their Poincare Plots. We analyzed various kinds of signals: RR intervals, EMG, gait data and EHG. All these signals were obtained from Physionet (Goldberger et al, 2000). These are short EMG recordings from three subjects: one healthy, one with myopathy and one with neuropathy. These are short gait data, illustrating the right stride interval from three subjects: one healthy subject, one with Huntington’s disease and one with Parkinson’s disease. One can observe that the lowest SD1/SD2 ratio value is for the subject with term delivery
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