Question: You are given two sets of time - series data collected from older healthy adults ( subj _ A & subj _ B ) .
You are given two sets of timeseries data collected from older healthy adults subjA & subjBEach set contains four curated ie preprocessed timeseries datasets representing continuous demeaned contemporaneous ie synchronized for each set samples every s
Demeaned systemic Mean Arterial Blood Pressure extension bp measured at the index finger via photoplethysmography in mmHg which is the average value of highlysampled arterial blood pressure over each cardiac cycle RR interval of the respective electrocardiogram properly preprocessed to generate evenly sampled timeseries data.
Demeaned Mean Cerebral Blood Flow Velocity extension fv measured at the right middle cerebral artery MCA via transcranial Doppler in cms which is the average value of highlysampled cerebral blood flow velocity at the MCA over each cardiac cycle RR interval properly preprocessed to generate evenly sampled timeseries data.
Demeaned Heart Rate extension hr defined as the inverse of the RR interval of each cardiac cycle in beatsmin which is extracted from the highly sampled electrocardiogram or equivalently from the arterial blood pressure signal and properly preprocessed to generate evenly sampled timeseries data.
Demeaned endtidal COextension co measured via capnography using a nasal cannula in mmHg which is extracted at each breath from the highly sampled capnogram peak value at end of exhalation and properly preprocessed to generate evenly sampled timeseries data
The applied preprocessing of these timeseries datasets includes a highpass filtering above Hz which includes demeaning and b clipping of occasional outliers.
You are asked to:
Compute the crosscorrelation function estimates using max lag of samples and the respective crossspectra between a bp & fvb bp & hrc co & fvd co & hr for each subject. Compare the results for the two subjects.
This is MATLAB
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