文件名称:ecg_extraction
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KARDIA was developed in Matlab programming language and runs on
recent Matlab releases (2007 or later) on all supported operating systems
(Mac OS X, Unix and Windows). KARDIA allows interactive importing
and visualization of both IBI data and event-related information. Available
functions permit the analysis of phasic heart rate changes in response to
specific visual or auditory stimuli, using either weighted averages or
different interpolation methods (constant, linear, spline) at any user-defined analysis window or sampling rate. KARDIA also provides the user
with functions to calculate all commonly used time-domain statistics of
heart rate variability and to perform spectral decomposition by using either
Fast Fourier Transform or auto-regressive models. Scaling properties of
the IBI series can also be assessed by means of Detrended Fluctuation
Analysis. Quantitative results can be easily exported in Excel and Matlab
format for further statistical analysis.
recent Matlab releases (2007 or later) on all supported operating systems
(Mac OS X, Unix and Windows). KARDIA allows interactive importing
and visualization of both IBI data and event-related information. Available
functions permit the analysis of phasic heart rate changes in response to
specific visual or auditory stimuli, using either weighted averages or
different interpolation methods (constant, linear, spline) at any user-defined analysis window or sampling rate. KARDIA also provides the user
with functions to calculate all commonly used time-domain statistics of
heart rate variability and to perform spectral decomposition by using either
Fast Fourier Transform or auto-regressive models. Scaling properties of
the IBI series can also be assessed by means of Detrended Fluctuation
Analysis. Quantitative results can be easily exported in Excel and Matlab
format for further statistical analysis.
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ecg_extraction.m