KARDIA

KARDIA ("heart" in Greek) is a Matlab software developed for the analysis of cardiac interbeat interval data. Available functions are called through a graphical user interface and permit the analysis of phasic cardiac responses elicited by environmental stimuli, and the estimation of many common time and frequency domain heart rate variability parameters. Scaling exponents of heartbeat fluctuations are calculated with the Detrended Fluctuation Analysis (DFA) algorithm. Grand average and individual subject results can be exported to spreadsheets for further statistical analysis. KARDIA is distributed free of charge under the terms of GNU public license.

Download:

Sourceforge: https://sourceforge.net/projects/mykardia/

SPR software repository: http://www.sprweb.org/repository/index.cfm

Softpedia: http://mac.softpedia.com/get/Math-Scientific/KARDIA.shtml

Publication:

1. Perakakis P., Joffily M., Taylor M., Guerra P., Vila J. (2010). KARDIA: a Matlab software for the analysis of cardiac interbeat intervals. Computer Methods and Programs in Biomedicine 98, 83–89. pdf

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SVMT (Stereo-vision Motion Tracking)

SVMT is a Matlab-based stereo-vision motion tracking system (SVMT) for the detection of human motor reactivity elicited by sensory stimulation. It is a low-cost, non-intrusive system supported by Graphical User Interface (GUI) software, and has been successfully tested and integrated in a broad array of physiological recording devices at the Human Physiology Laboratory in the University of Granada. The SVMT GUI software handles data in Matlab and ASCII formats. Internal functions perform lens distortion correction, camera geometry definition, feature matching, as well as data clustering and filtering to extract 3D motion paths of specific body areas.

Download:

Sourceforge: https://sourceforge.net/projects/svmt/

Software webpage: http://www.vousdoukas.fzk-nth.de/index_svmt.html#

Publication:

1. Vousdoukas I.M., Perakakis P., Idrissi S., Vila J. (2011). SVMT: a MATLAB toolbox for stereo-vision motion tracking of motor reactivity. Computer Methods and Programs in Biomedicine, in press. pdf

 

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

Pandelis Perakakis, PhD
Laboratory of Experimental Economics
University Jaume I,
Avda. Sos Baynat s/n,
Castellón 12071,
Spain

Tel: +34964387627
Fax: +34964728591
e-mail: peraka@ugr.es
url: http://www.ugr.es/~peraka/