When analyzing short term heart rate variability (HRV) signals using the FFT technique,
the linear trend appears to be perfect 1/f signals. The non-linear trend in short term HRV
signals produces the regression 1/f components. De-trending the data using a moving
average is an effective technique for removing the 1/f components. However, though
removing the trend may sometimes produce clearer spectral pictures of respiratory sinus
arrhythmia or the breathing frequency, it has little impact otherwise. The linear trend is
fractal, but not chaotic. The 1/f components in the signal does not imply the signal fractal;
nor does a fractal signal implies it chaotic. No evidence in the present research suggests
that the non-linear trend is fractal, nor is there evidence to suggest that the HRV signal is
fractal, or chaotic. / Science, Faculty of / Zoology, Department of / Graduate
| Identifer | oai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/6320 |
| Date | 11 1900 |
| Creators | Yuan, Yeh |
| Source Sets | University of British Columbia |
| Language | English |
| Detected Language | English |
| Type | Text, Thesis/Dissertation |
| Format | 1663916 bytes, application/pdf |
| Rights | For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. |
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