1996
DOI: 10.1016/s0008-6363(96)00009-0
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Linear and non-linear analyses of heart rate variability: a minireview

Abstract: To complete traditional time-and frequency-domain analyses, new methods derived from non-linear systems analysis have recently been developed for time series studies. A panel of the most widely used methods of heart rate analysis is given with computations on mouse data, before and after a single atropine injection.

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Cited by 83 publications
(57 citation statements)
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“…However, frequency-domain approaches have the following limitations: 1) Information about the time sequence of HR dynamics can be lost. Without this information, it is difficult to assess how PCE affects the reaction to a specific intervention such as orthostatic stress; 2) Some frequency-domain approaches assume a certain kind of stability in the time series data; such an assumption may not be tenable when measurements take place both before and after an intervention (15,16); and 3) There is some disagreement about how to define high frequency and low frequency. Moreover, different summary statistics have been used to measure power over a frequency band, and final conclusions may be sensitive to the manner in which power is measured.…”
mentioning
confidence: 99%
“…However, frequency-domain approaches have the following limitations: 1) Information about the time sequence of HR dynamics can be lost. Without this information, it is difficult to assess how PCE affects the reaction to a specific intervention such as orthostatic stress; 2) Some frequency-domain approaches assume a certain kind of stability in the time series data; such an assumption may not be tenable when measurements take place both before and after an intervention (15,16); and 3) There is some disagreement about how to define high frequency and low frequency. Moreover, different summary statistics have been used to measure power over a frequency band, and final conclusions may be sensitive to the manner in which power is measured.…”
mentioning
confidence: 99%
“…In general, it can be estimated from the minimal number of cubes while varying r. It is also known as a box-counting dimension (Mandelbrot 1982;Goldberger et al 1990;Mansier et al 1996;Ishizawa et al 2000). For example, when the tachogram is recorded for 5, 50 and 500 min, fast erratic fluctuations seem to vary in a similar manner to the slower fluctuations (self-similarity at different time scales; Grassberger & Procaccia 1983).…”
Section: Nonlinear Analysis Methods Of Cardiovascular Controlmentioning
confidence: 99%
“…Non-linear phenomena are determined by complex interactions of haemodynamic, electrophysiological and humoral variables, as well as by autonomic and central nervous regulations. It has been speculated that analysis of HRV based on the methods of non-linear dynamics might elicit valuable information for the physiological interpretation of HRV and for the assessment of the risk of sudden death (Mansier P et al, 1996).…”
Section: Non Linear Analysismentioning
confidence: 99%