A polynomial function of gait performance

Salvatore Giaquinto, Manuela Galli, Giuseppe Nolfe

Research output: Contribution to journalArticle

3 Citations (Scopus)

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

Fingerprint

Gait
Hemiplegia
Biomechanical Phenomena
Rehabilitation
Regression Analysis
Confidence Intervals

Keywords

  • Gait
  • Hemiplegia
  • Rehabilitation

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)

Cite this

Giaquinto, S., Galli, M., & Nolfe, G. (2007). A polynomial function of gait performance. Functional Neurology, 22(1), 43-46.

A polynomial function of gait performance. / Giaquinto, Salvatore; Galli, Manuela; Nolfe, Giuseppe.

In: Functional Neurology, Vol. 22, No. 1, 01.2007, p. 43-46.

Research output: Contribution to journalArticle

Giaquinto, S, Galli, M & Nolfe, G 2007, 'A polynomial function of gait performance', Functional Neurology, vol. 22, no. 1, pp. 43-46.
Giaquinto S, Galli M, Nolfe G. A polynomial function of gait performance. Functional Neurology. 2007 Jan;22(1):43-46.
Giaquinto, Salvatore ; Galli, Manuela ; Nolfe, Giuseppe. / A polynomial function of gait performance. In: Functional Neurology. 2007 ; Vol. 22, No. 1. pp. 43-46.
@article{585bdfaca3f14d6a988d53b2e111d19e,
title = "A polynomial function of gait performance",
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.",
keywords = "Gait, Hemiplegia, Rehabilitation",
author = "Salvatore Giaquinto and Manuela Galli and Giuseppe Nolfe",
year = "2007",
month = "1",
language = "English",
volume = "22",
pages = "43--46",
journal = "Functional Neurology",
issn = "0393-5264",
publisher = "CIC Edizioni Internazionali s.r.l.",
number = "1",

}

TY - JOUR

T1 - A polynomial function of gait performance

AU - Giaquinto, Salvatore

AU - Galli, Manuela

AU - Nolfe, Giuseppe

PY - 2007/1

Y1 - 2007/1

N2 - 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.

AB - 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.

KW - Gait

KW - Hemiplegia

KW - Rehabilitation

UR - http://www.scopus.com/inward/record.url?scp=34250627637&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34250627637&partnerID=8YFLogxK

M3 - Article

C2 - 17509243

AN - SCOPUS:34250627637

VL - 22

SP - 43

EP - 46

JO - Functional Neurology

JF - Functional Neurology

SN - 0393-5264

IS - 1

ER -