Performs the analysis of a narrow band component of the RR signal using Smoothed Pseudo Wigner-Ville time-frequency distribution method.
results = SPWVD_Analysis(RR,aux,freq_sampling,frequency_bounds,filterlength [,options])
N
: The vector
of interbeat intervals of the R waves in the
electrocardiogram (ms).N
: an auxiliary
signal that will be added to the result for visualization
purposes. For example Vt, SBP, DBP, ...2
: the
frequency range of interest (in Hz). See the
Caution section for details.wfir("lp",195,[0.01
0],"hm",[0,0])
"RRA"
and with the following fields:
N
, the time discretization associated
with the following signals.N
, the given RR
signalN
, the given aux
signal or the empty matrix.N
, the shifted band-pass filtered
RR
signal.N
, the instaneous frequency of the
RR
signal (in Hz).N
, the instaneous
amplitude of the RR
signal.N
, the instaneous power of
the RR signal.N
, the instaneous dispersion
of the RR
signal.SPWVD_Analysis
Performs the analysis of a
narrow band component of the RR signal using Smoothed Pseudo
Wigner-Ville time-frequency distribution method. It estimates
the instaneous frequency, the instanenous amplitude, the
instaneous power and the instaneous dispersion of the RR signal.
The returned data are shifted to make their time evolution comparable and easily drawn using the PlotSpectralAnalysis function.
d=read(cardiovascularpath()+"demos/DATA/decubitus_03",-1,4)'; //read the data freq_sampling=4; RR=d(1,:);//RR signal Vt=d(3,:);//Tidal Volume signal //narrow band filter filterlength=355; frequency_bounds=[0.25 1.9]; result=SPWVD_Analysis(RR,Vt,freq_sampling,frequency_bounds,filterlength); PlotSpectralAnalysis(result,["RR","Vt"],"decubitus_03 SPWVD") // Draw results //using options opt=struct(); opt.lowpass=wfir("lp",195,[0.1 0]/freq_sampling,"hm",[0,0]); result=SPWVD_Analysis(RR,Vt,freq_sampling,frequency_bounds,filterlength); PlotSpectralAnalysis(result,["RR","Vt"],"decubitus_03 SPWVD") // Draw results | ![]() | ![]() |
"Short-term control of the cardiovascular system: modelling and signal analysis", Alessandro Monti , Claire Médigue , Michel Sorine. Rapport de recherche n° 4427 April 12, 2002
"Instantaneous parameter estimation in cardiovascular time series by harmonic and time-frequency analysis", Alessandro Monti , Claire Médigue , Mangin Laurence,IEEE Trans Biomed Eng. 2002 Dec;49(12 Pt 2):1547-56.
"Instantaneous envelope and phase extraction from real signals: Theory, implementation, and an application to EEG analysis". Periklis Y. Ktonasa and Nicola Papp