entropy Article CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals David Mayor 1,* , Deepak Panday 2, Hari Kala Kandel 3, Tony Steffert 4,5 and Duncan Banks 5 1 School of Health and Social Work, University of Hertfordshire, Hatfield AL10 9AB, UK 2 School of Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK;
[email protected] 3 Department of Computing, Goldsmiths College, University of London, New Cross, London SE14 6NW, UK;
[email protected] 4 MindSpire, Napier House, 14-16 Mount Ephraim Rd, Tunbridge Wells TN1 1EE, UK;
[email protected] 5 School of Life, Health and Chemical Sciences, Walton Hall, The Open University, Milton Keynes MK7 6AA, UK;
[email protected] * Correspondence:
[email protected] Abstract: Background: We developed CEPS as an open access MATLAB® GUI (graphical user interface) for the analysis of Complexity and Entropy in Physiological Signals (CEPS), and demonstrate its use with an example data set that shows the effects of paced breathing (PB) on variability of heart, pulse and respiration rates. CEPS is also sufficiently adaptable to be used for other time series physiological data such as EEG (electroencephalography), postural sway or temperature measurements. Methods: Data were collected from a convenience sample of nine healthy adults in a pilot for a larger study investigating the effects on vagal tone of breathing paced at various Citation: Mayor, D.; Panday, D.; different rates, part of a development programme for a home training stress reduction system. Results: Kandel, H.K.; Steffert, T.; Banks, D.