A polynomial function of gait performance

Salvatore Giaquinto, Manuela Galli, Giuseppe Nolfe

Research output: Contribution to journalArticlepeer-review

Abstract

A mathematical data processing method is presented that represents a further step in gait analysis. The proposed polynomial regression analysis is reliable in assessing differences in the same patient and even on the same day. The program also calculates the confidence interval of the whole curve. The procedure was applied to normal subjects in order to collect normative data. When a new subject is tested, the polynomial function obtained is graphically superimposed on control data. Should the new curve fall within the limits described by normative data, it is considered to be equivalent. The procedure can be applied to the same subject, either normal or pathological, for retesting kinematic characteristics. The gait cycle is analyzed as a whole, not point-by-point. Ten normal subjects and two patients, one with recent- and the other with late-onset hemiplegia, were tested. Multiple baseline evaluation is recommended before the start of a rehabilitation program.

Original languageEnglish
Pages (from-to)43-46
Number of pages4
JournalFunctional Neurology
Volume22
Issue number1
Publication statusPublished - Jan 2007

Keywords

  • Gait
  • Hemiplegia
  • Rehabilitation

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)

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