Power spectrum analysis of heart rate variability: a tool to explore neural regulatory mechanisms.
نویسندگان
چکیده
منابع مشابه
Heart rate variability: a tool to explore the sleeping brain?
Sleep is divided into two main sleep stages: (1) non-rapid eye movement sleep (non-REMS), characterized among others by reduced global brain activity; and (2) rapid eye movement sleep (REMS), characterized by global brain activity similar to that of wakefulness. Results of heart rate variability (HRV) analysis, which is widely used to explore autonomic modulation, have revealed higher parasympa...
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Power spectrum analysis of heart rate variability was repeatedly carried out on 13 patients with Guillain-Barré syndrome for up to 1 year by Fourier analysis of regular beat-to-beat (R-R) intervals which were recorded for 5 min, converted into a continuous function by linear interpolation and resampled at 5 Hz. Low-frequency (LF) power (reflecting a mixture of parasympathetic and sympathetic ac...
متن کاملDecomposition of Heart Rate Variability Spectrum into a Power-Law Function and a Residual Spectrum
The power spectral density (PSD) of heart rate variability (HRV) contains a power-law relationship that can be obtained by plotting the logarithm of PSD against the logarithm of frequency. The PSD of HRV can be decomposed mathematically into a power-law function and a residual HRV (rHRV) spectrum. Almost all rHRV measures are significantly smaller than their corresponding HRV measures except th...
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Beat-to-beat heart rate variability was studied by power spectral analysis in 17 orthotopic cardiac transplant patients. Heart rate power spectra were calculated from eighty-four 256-second recordings and compared with those taken from six normal subjects. The power spectra from the control subjects resolved into discrete peaks at 0.04-0.12 Hz and 0.2-0.3 Hz, whereas those of heart transplant r...
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ژورنال
عنوان ژورنال: Heart
سال: 1994
ISSN: 1355-6037
DOI: 10.1136/hrt.71.1.1