22 May 1997 Fourier analysis of real-world data
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Proceedings Volume 2985, Ultrasensitive Biochemical Diagnostics II; (1997); doi: 10.1117/12.274356
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States
Abstract
Biological time-series data pertaining to human circadian and ultradian hormonal rhythms are often short, sparse, irregularly spaced, and noisy. In addition, they often have missing data points and have variable experimental uncertainties. The objective of collecting and analyzing such data is to find the amplitude, phase, and period of the primary rhythmic component contained within the data. Often the question is simply: Does a rhythm exist. The theoretical aspects of some Fourier techniques are discussed, including methods for detrending non-stationary time-series and the evaluation of confidence intervals. Analysis of typical biological data are also presented.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael L. Johnson, Martin Straume, "Fourier analysis of real-world data", Proc. SPIE 2985, Ultrasensitive Biochemical Diagnostics II, (22 May 1997); doi: 10.1117/12.274356; https://doi.org/10.1117/12.274356
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KEYWORDS
Biological research

Error analysis

Statistical analysis

Data processing

Fourier transforms

Data centers

Physiology

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