MATLAB: HRV frequency domain anlysis (Power spectral anlysis)

MATLAB

dear everyone,

Now, I would like to analyze the power spectrum for Heart Rate variation (HRV), who are know how to do? please help me or explain to me.

Thank you so much.

Best Answer

I would recommend you to go to FFT documentation. On command window, type:

doc fft

You'll find a couple of examples that will explain you what you need

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MATLAB: Hrv spectral analysis

Hi Olga, I think your problem is that your frequency resolution is too poor.

You are only obtaining PSD estimates at steps of 1.5625 Hz. Look at:

diff(F)

This is based on your sampling frequency and window (segment) length.

Therefore the code:

        VLF = [0.0033 0.04];
        LF = [0.04 0.15];
        HF = [0.15 0.4];      
        iVLF= (F>=VLF(1)) & (F<=VLF(2));
        iLF = (F>=LF(1)) & (F<=LF(2));
        iHF = (F>=HF(1)) & (F<=HF(2));

Is going to return a vector of zeros for iVLF, iLF, and iHF. Look at the output for

nnz(iVLF)
nnz(iLF)
nnz(iHF)

You are trying to obtain power estimates on a grid that is much finer than your frequency resolution.

MATLAB: Difference between fft and pspectrum

The 'fft(x)' function computes the discrete Fourier transform (DFT) of x using a fast Fourier transform (FFT) algorithm.

Please refer the following link for more information about the fft function.

https://in.mathworks.com/help/matlab/ref/fft.html

The 'pspectrum(x)' function returns the power spectrum of x.

Please refer the following link for more information about the 'pspectrum' function.

https://in.mathworks.com/help/signal/ref/pspectrum.html?s_tid=srchtitle

A fast Fourier transform is an algorithm that computes the discrete Fourier transform of a sequence. Fourier Transform changes the domain of the signal from time or space to frequency domain. The DFT is obtained by decomposing a sequence of values into components of different frequencies.

The statistical average of a certain signal or sort of signal (including noise) as analyzed in terms of its frequency content, is called its spectrum. So, the power spectrum refers to the spectral energy distribution that would be found per unit time, since the total energy of such a signal over all time would generally be infinite.

Best Answer

Related Solutions

MATLAB: Hrv spectral analysis

MATLAB: Difference between fft and pspectrum

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