Prediction of stride interval time series

Abstract

The power law in the frequency spectrum S(f) = 1/f<sup>&#x03B2;</sup> allows for a good representation of the various time evolution and complex interactions of many physiological processes. The spectral exponent &#x03B2; can be interpreted as the degree of fractal characteristic which in turn makes it some sort of biomarker that gives an idea of the… (More)
DOI: 10.1109/SAM.2016.7569660

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Cite this paper

@article{Zahnd2016PredictionOS, title={Prediction of stride interval time series}, author={Etienne Zahnd and Jennifer S. Brach and Subashan Perera and Ervin Sejdic}, journal={2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)}, year={2016}, pages={1-5} }