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+<TITLE>Temporal Structure Measures</TITLE>
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+ <A NAME="tex2html100" HREF="node11.html"><IMG WIDTH=37 HEIGHT=24 ALIGN=BOTTOM ALT="next" SRC="/icons/latex2html/next_motif.png"></A> <A NAME="tex2html98" HREF="node8.html"><IMG WIDTH=26 HEIGHT=24 ALIGN=BOTTOM ALT="up" SRC="/icons/latex2html/up_motif.png"></A> <A NAME="tex2html92" HREF="node9.html"><IMG WIDTH=63 HEIGHT=24 ALIGN=BOTTOM ALT="previous" SRC="/icons/latex2html/previous_motif.png"></A>   <BR>
+<B> Next:</B> <A NAME="tex2html101" HREF="node11.html">Relationship of Stride Dynamics </A>
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+<BR> <P>
+<H3><A NAME="SECTION00040200000000000000">Temporal Structure Measures</A></H3>
+<P>
+<B>Spectral Analysis:&nbsp;&nbsp;</B> 
+The above results demonstrate that the <I>magnitude</I> of 
+stride-to-stride variability decreases with maturation in healthy
+children. The question we next address is whether the <I>temporal
+structure</I> of the stride time dynamics 
+is also age-dependent.
+Figure 4 shows the results of spectral analysis for the time series shown in
+Figure 1. As expected, 
+there appears to be a change in the frequency spectra with age. 
+The power in the higher frequency ranges appears to be slightly
+larger in the oldest child and smaller in the two younger
+children. Conversely, low frequency power appears to be reduced in the
+11 year old child compared to the two younger children.  
+For the entire group in general, the percent of high frequency power was increased
+ and low frequency power was decreased in the oldest children compared to the other two groups
+(Table 3). Although these trends were not significant, 
+there was a significant dependence of the low/high ratio on age group (p &lt; .002).
+This spectral ratio was significantly larger in the oldest children
+compared to the 6 and 7 years olds (p &lt; .02) and it also tended to be larger
+in the 6 and 7 year olds compared with the youngest children (p=.06).
+In other words, the ratio of the stride time fluctuations on relatively large time scales
+to the fluctuations on shorter time scales decreased with age.
+<P>
+To confirm that this difference in spectral balance was not due to any
+simple large-scale trends in the data, we performed spectral analysis of each
+time series after detrending  each time series (by taking the first
+difference). The results were similar to those for the original time
+series (Table 3), suggesting that there is a change in spectral
+balance independent of large-scale trends in the data.  Moreover,
+we confirmed that this effect persisted even if we changed (somewhat
+arbitrarily) the way in which the spectra were divided. For example, when the  high
+frequency band was re-defined as 0.3 to 0.4 stride<IMG WIDTH=15 HEIGHT=9 ALIGN=BOTTOM ALT="tex2html_wrap_inline306" SRC="img8.png"> and the low frequency band as
+0.1 to 0.2 stride<IMG WIDTH=15 HEIGHT=9 ALIGN=BOTTOM ALT="tex2html_wrap_inline306" SRC="img8.png">, a similar effect of age on the balance of
+spectral power was observed (Table 3 and Figure 5).
+<P>
+<B>Autocorrelation Measures:&nbsp;&nbsp;</B> As expected, measures of the decay of the autocorrelation function also varied  with age.  For the younger
+children, <IMG WIDTH=31 HEIGHT=18 ALIGN=MIDDLE ALT="tex2html_wrap_inline358" SRC="img14.png"> decayed rapidly (after 2 or 3 strides), while
+this decay time was generally larger in the two older groups. Specifically,
+<IMG WIDTH=31 HEIGHT=18 ALIGN=MIDDLE ALT="tex2html_wrap_inline358" SRC="img14.png"> was 2.5 <IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 0.2 and 4.8 <IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 0.6 strides in the 3 and
+4 year olds and the 6 and 7 year olds, respectively, (p &lt; .0005). <IMG WIDTH=31 HEIGHT=18 ALIGN=MIDDLE ALT="tex2html_wrap_inline358" SRC="img14.png">
+was slightly, but not significantly larger in the 11 to 14 year olds
+(5.6 <IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 1.1 strides) compared to the 6 and 7 year olds.  Similar
+results were obtained for <IMG WIDTH=31 HEIGHT=18 ALIGN=MIDDLE ALT="tex2html_wrap_inline310" SRC="img9.png">. This measure of the decay of the
+autocorrelation function was also lowest in the 3 and 4 year olds (5.8
+<IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 1.0 strides), larger (p &lt; .06) in the 6 and 7 year olds (11.4
+<IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 3.3), and tended to be slightly larger  in the 11 to 14 year
+olds (19.0<IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 9.8; p &lt; .01 compared to the youngest children).
+<P>
+<B>Stride Time Correlations:&nbsp;&nbsp;</B> The fractal scaling index, <IMG WIDTH=10 HEIGHT=9 ALIGN=BOTTOM ALT="tex2html_wrap_inline314" SRC="img11.png">,
+was similar in the two youngest age groups and tended to decrease in the
+oldest children (<IMG WIDTH=10 HEIGHT=9 ALIGN=BOTTOM ALT="tex2html_wrap_inline314" SRC="img11.png"> =  0.93 <IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 0.04, 0.93 <IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 0.03,  0.88 <IMG WIDTH=12 HEIGHT=27 ALIGN=MIDDLE ALT="tex2html_wrap_inline288" SRC="img6.png"> 0.04, in the 3 and 4 years olds, 6 and 7 year olds, and 11 to 14 year olds, 
+respectively.)
+When this analysis was performed on the first
+difference of the time series (i.e., after removing any large trends),
+the effect of age became more pronounced and statistically
+significant (p &lt; 0.01 and p &lt; 0.05 comparing the 11 to 14 year olds to 
+the 6 and 7 year olds and the 3 and 4 years olds, respectively).
+<P>
+The DFA method automatically ``detrends'' the data by determining the
+fluctuations about the least-squares, best fit straight line in each
+window of observation. Nonstationarities (trends) that are not well
+characterized by a straight line could possibly give rise to an
+inaccurate scaling exponent. Therefore, to further examine the
+dynamical properties, we also computed the scaling index <IMG WIDTH=10 HEIGHT=9 ALIGN=BOTTOM ALT="tex2html_wrap_inline314" SRC="img11.png">
+using higher order DFA detrending. Specifically, we detrended each
+window of box size <I>n</I> using 2nd order polynomials instead of the 1st
+order, linear detrending  (12).
+<P>
+With 2nd order detrending
+of the time series, the age effect was apparent both before (see
+Figure 6) and after taking the first difference of the time series. Among the younger
+subjects (&lt; 11 years old), ten subjects (about 25%) had scaling indices
+greater than 1.0, while in the oldest subjects all of the scaling
+exponents were less than 1.0.  While the scaling properties were
+similar in the 3 and 4 year olds and the 6 and 7 year olds, <IMG WIDTH=10 HEIGHT=9 ALIGN=BOTTOM ALT="tex2html_wrap_inline314" SRC="img11.png">
+was significantly lower in the oldest children compared to the 6 and 7
+year olds and compared to the 3 and 4 year olds (p &lt; .05).  The
+mean <IMG WIDTH=10 HEIGHT=9 ALIGN=BOTTOM ALT="tex2html_wrap_inline314" SRC="img11.png"> of the oldest children comes closest to the mean value 
+obtained in young adults
+(Figure 6).
+<P>
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