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Ch04-I044963.fm  Page 15  Tuesday, August 1, 2006  6:33 PM
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                                                           x(t+2r)









                                                               State  Space

                   Figure  1:  Reconstruction  of  a attractor  trajectory  in the  state  space  (in  case  of the  embedding
                                                dimension  d =  3).


                  log.  Embedding  dimension  d was determined  by using the global false nearest  neighbors  algorithm
                  (Cao  1997).  In  our  case, the  embedding  dimension  was  four,  to  form  a valid state  space.

                  Lyapunov  exponent  quantifies  the  average  exponential  rate  of divergence  of neighboring  trajecto-
                  ries  in  a  reconstructed  state  space.  The  estimation  of  the  largest  Lyapunov  exponent  performed
                  with the  method  proposed  by Kantz  (Kantz  1994).  The  Lyapunov  exponent  A was  defined  as the
                  following.
                                                           XAt
                                                D(At)  =  D(0)e .                         (2)
                  The  notation  D(At)  denotes  the  displacement  between  neighboring  trajectories  after  The  nota-
                  tion  At  interval.  -D(O)  is the  initial  distance  between  neighboring  point.  Lyapunov  exponent A
                  quantifies  the  average exponential rate  of divergence  of neighboring trajectories  in a  reconstructed
                  state  space.  A  Higher  value  of  Lyapunov  exponent  indicates  a  larger  divergence  of the  attractor
                  in the state  space,  suggesting  less stability  of the  dynamical  system.  We calculated  the  exponent
                  from  ten  steps  acceleration  data  in steady state  of the  walking trial.  Data  were  analyzed  without
                  filtering  to  avoid  complications  associated  with  filtering  nonlinear  signals.



                  EXPERIMENT
                  We  developed  a  portable  device  consisted  of  monolithic  IC  accelerometers  (±2  G,  ADXL202E;
                  Analog  Devices Inc.. MA, USA) with  16-bit  duty  cycle converter,  Li-Ionic batteries,  micro proces-
                  sor  units  and  CompactFlash  card.  This  equipment  is  small  (100x55x18.5  mm)  and  lightweight
                  enough  to  carry  without  any  restriction.  The  equipment  was  attached  to  the  center  of  lower
                  back  representing  the  center  of gravity  of the  body  using  a back supporter,  as shown  in  Figure  2.
                  Three-dimensional  acceleration  as  lateral,  vertical,  and  anteroposterior  direction  were  measured
                  by  the  portable  equipment  with  sampling  frequency  of  100 Hz.

                  Seven  healthy  young  adults  (25.0  ±  1.6  yr.)  and  fifty-four  elderly  adults  aged  (76.7 ±  4.6  yr.)
                  participated  in  the  experiment.  All  subjects  gave  signed  informed  consent.  Prior  to  the  experi-
                  ment,  physical conditions  and  exercise habit  were examined  by questionnaires.  The subjects  were
                  instructed  to  walk  at  their  self-selected  speed  on  a,  16  m  straight  track  without  any  restriction.
                  The  beginning  and  the  end  of  the  strait  track  3  m  were  considered  as  transition  phases  of  the
                  walking.  Constant  walking  phase  in  middle  10 m  of the  track  was  applied  to the  calculation.
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