title: Spectral analysis of walking improvement utilizing AR modeling.
abstract: This study analyzes the walking improvement based on 1/f fluctuations and impulse responses utilizing Auto-Regressive (AR) modeling. Once subjects were aware of the correct posture, the fluctuation of subject's both sides of the hip while walking was improved more rhythmic. The analysis of impulse response utilizing AR modeling provided clear results for the evaluation of improvement to walking stability. After the subjects understood their own walking condition, based on 1/f fluctuation, and had received suitable rehabilitation and shoes, their walking stability improved satisfactorily. This study provides a useful method of medical evaluation in rehabilitation and physical fitness, and a means for subjects to maintain a state of well being.
authors.affiliation: Center for Spatial Information Science, University of Tokyo, Japan. masako@iis.u-tokyo.ac.jp
authors.forename: Masako
authors.initials: M
authors.lastname: Tsuruoka
authors.forename: Yuriko
authors.initials: Y
authors.lastname: Tsuruoka
mesh_terms: D001676:Biofeedback, Psychology / Q000379:methods*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D020233:Gait Disorders, Neurologic / Q000175:diagnosis* / Q000503:physiopathology / Q000534:rehabilitation*; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D013813:Therapy, Computer-Assisted / Q000379:methods*; D016896:Treatment Outcome; D016138:Walking