2010
DOI: 10.1016/j.gaitpost.2009.12.002
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An empirical examination of detrended fluctuation analysis for gait data

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Cited by 99 publications
(98 citation statements)
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References 22 publications
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“…most studies used data series longer than 5 min, although Herman et al [3] used data series of 2 min). Damouras et al [137] studied the number of strides required, and recommended a minimum of 600 strides. After a data series has been created from a quantity, the data series in question is integrated first.…”
Section: Calculationmentioning
confidence: 99%
See 1 more Smart Citation
“…most studies used data series longer than 5 min, although Herman et al [3] used data series of 2 min). Damouras et al [137] studied the number of strides required, and recommended a minimum of 600 strides. After a data series has been created from a quantity, the data series in question is integrated first.…”
Section: Calculationmentioning
confidence: 99%
“…the residual variance) is calculated. This procedure was suggested to work best for n ranging from 16 to N/9 (with N being the length of the data series), to obtain the relationship between n and f (n) (where f (n) is the average residual variance for window size n; [137]). Typically, f(n) will increase with increasing n, and a linear relationship between f(n) and n on a log -log plot indicates the presence of power-law scaling.…”
Section: Calculationmentioning
confidence: 99%
“…First, time series data were divided into individual steps based upon ankle marker position in the Y direction as described in [10]. Individual step data were then used to calculate stride lengths and stride durations for the final 8 min of the 10 min trial (average 412 AE 30 steps), and statistical persistence (a) of both was estimated through DFA following the algorithm described by [11]. Window sizes for DFA analysis ranged from 16 to n/9 (n = total number of steps per trial).…”
Section: Discussionmentioning
confidence: 99%
“…De-trended fluctuation analysis (DFA) is used in order to estimate the scaling exponent, α , as described in previous studies (e.g., Chau (2001), Terrier et al (2005), Damouras et al (2010)). For each signal, α > 0.5 indicates the signal is statistically persistent; α = 0.5 indicates random, uncorrelated behavior (a.k.a.…”
Section: Methodsmentioning
confidence: 99%