Import Name Size Bytes Class ch CSorPS 1x2 4 char HPFc......

Import Name Size Bytes Class ch CSorPS 1x2 4 char HPF_c... 1x1 8 double data 1x1 67424 struct dataDC 1x1 1568 struct dataSL... 1x1 67424 struct dataSTD 1x1 1568 struct deltaT 1x1 8 double r 1177x1 9416 double ch siteID 1x3 6 char ch siteN 1x2 4 char subj_... 1x1 8 double subjec... 1x1 8 double tt 1x1177 9416 double x 1177x1 9416 double y 1177x1 9416 double z 1177x1 9416 double

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Just number 3 of autocorrelation please You are given two sets of time-series data collected from older healthy adults (subj_A & subj_B). Each set contains four curated (i.e. pre-processed) time-series datasets representing continuous de-meaned contemporaneous (i.e. synchronized for each set) samples every 0.5 s. (1) De-meaned systemic Mean Arterial Blood Pressure (extension .bp) measured at the index finger via photoplethysmography (in mmHg), which is the average value of highly-sampled arterial blood pressure over each cardiac cycle (R-R interval of the respective electrocardiogram), properly pre-processed to generate evenly sampled time-series data. (2) De-meaned Mean Cerebral Blood Flow Velocity (extension .fv) measured at the right middle cerebral artery (MCA) via transcranial Doppler (in cm/s), which is the average value of highly-sampled cerebral blood flow velocity at the MCA over each cardiac cycle (R-R interval), properly pre-processed to generate evenly sampled time-series data. (3) De-meaned Heart Rate (extension .hr) defined as the inverse of the R-R interval of each cardiac cycle (in beats/min), which is extracted from the highly sampled electrocardiogram (or equivalently from the arterial blood pressure signal) and properly pre-processed to generate evenly sampled time-series data. (4) De-meaned end-tidal CO2 (extension .co2) 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 pre-processed to generate evenly sampled time-series data. The applied pre-processing of these time-series datasets includes (a) high-pass filtering above 0.005 Hz (which includes de-meaning) and (b) clipping of occasional outliers. (5) Compute the Transfer Function estimates for LTI models of the input-to-output dynamic relationships: (a) bp-to-fv, (b) bp-to-hr, (c) hr-to-bp, (d) co2-to-fv, (e) co2-to-hr for each subject. Compare the results for the two subjects. This is MATLAB Import Name Size e|h CSorPS 1x2 HPF_C... 1x1 data 1x1 dataDC 1x1 dataSL... 1x1 dataSTD 1x1 deltaT 1x1 1177x1 sitelD 1x3 siteN 1x2 subj_... 1x1 subjec... 1x1 tt 1x1177 x 1177x1 y 1177x1 z 1177x1 Bytes Class 4 char 8 double 67424 struct 1568 struct 67424 struct 1568 struct 8 double 9416 double 6 char 4 char 8 double 8 double 9416 double 9416 double 9416 double 9416 double

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