The authors discuss aspects of randomness and determinism in electrocardiographic signals. In particular, they take a critical look at attempts to apply methods of nonlinear time series analysis derived from the theory of deterministic dynamical systems. It is argued that deterministic chaos is not a likely explanation for the short-time variablity of the inter-beat interval times, except for certain pathologies. Conversely, densely sampled full ECG recordings possess properties typical of deterministic signals. In the last-mentioned case, methods of deterministic nonlinear time-series analysis can yield new insights.
Inspec keywords: chaos; time series; nonlinear systems; electrocardiography; stochastic processes; random processes; medical signal processing; interference suppression
Other keywords:
Subjects: Electrical activity in neurophysiological processes; Bioelectric signals; Electrodiagnostics and other electrical measurement techniques; Data gathering, processing, and recording, data displays including digital techniques; Signal processing and conditioning equipment and techniques; Signal processing and detection; Probability theory, stochastic processes, and statistics; Other topics in statistics
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