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njit-etd2003-081 - New Jersey Institute of Technology

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150<br />

viewing the time series <strong>of</strong> sequential heart periods and blood pressure in the frequency<br />

domain, spectral analysis decomposes the summed sinusoids into constituent frequencies.<br />

The frequencies <strong>of</strong> interest in the study <strong>of</strong> RSA are the frequencies associated with<br />

the normal spontaneous respiratory activity. If the breathing were constant at a rate <strong>of</strong> 16<br />

times a min, each breath would take appropriately 3.745 sec and would have a frequency<br />

<strong>of</strong> 0.267 cycles/sec (0.267 Hz). In Figures 5.1 (c) and 5.2 (c), the power density spectra<br />

for each frequency <strong>of</strong> heart rate and blood pressure are plotted. These analyses were<br />

conducted on the data plotted in Figures 5.1 and 5.2 (b). Note that both series exhibit a<br />

peak power density estimate at the same frequency, representing the dominant or most<br />

characteristic respiratory frequency <strong>of</strong> 0.267 Hz.<br />

Even though the spectral decomposition <strong>of</strong> both heart rate and blood pressure<br />

processes results in similar dominant frequencies, each process exhibits other prominent<br />

frequencies, independent <strong>of</strong> respiration, that have been theoretically associated with other<br />

physiological processes such as temperature and hormonal fluctuations [19].

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