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- W2019941267 abstract "Fourier analysis has proven to be a vital mathematical tool in many areas of research, but rapid methods for calculating frequency content of sampled data using discrete Fourier transform (FFT) require periodic sampling. Unfortunately, beat-by-beat heart rate is an aperiodic series of events in the time domain. This report describes a new and unusual application of the FFT on heart rate data. The beat-by-beat intervals are represented as the magnitude of a periodically sampled function. When the Fourier transform is applied to these data, we obtain pseudofrequency information from what we call the Beat-quency Domain. Observed patterns from the Beatquency Domain suggest usefulness of this method in sleep cycle detection." @default.
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- W2019941267 date "1977-07-01" @default.
- W2019941267 modified "2023-10-14" @default.
- W2019941267 title "The Beatquency Domain: An Unusual Application of the Fast Fourier Transform" @default.
- W2019941267 cites W1984896796 @default.
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- W2019941267 doi "https://doi.org/10.1109/tbme.1977.326155" @default.
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