One-year persistence of individual gait patterns identified in a follow-up study - A call for individualised diagnose and therapy

Autoren

F Horst
M Mildner
WI Schöllhorn

DOI

10.1016/j.gaitpost.2017.09.003

ISSN

0966-6362

Zeitschrift

Gait & Posture

Sprache

en

Paginierung

476 - 480

Datum der Veröffentlichung

2017

Status

Published

Herausgeber

Elsevier BV

Herausgeber URL

http://dx.doi.org/10.1016/j.gaitpost.2017.09.003

Datum der Datenerfassung

2018

Titel

One-year persistence of individual gait patterns identified in a follow-up study – A call for individualised diagnose and therapy

Ausgabe der Zeitschrift

58

Datenquelle: Crossref

Abstract

Although a hunch about the individuality of human movements generally exists, differences in gait patterns between individuals are often neglected. To date, only a few studies distinguished individual gait patterns in terms of uniqueness and emphasised the relevance of individualised diagnoses and therapy. However, small sample sizes have been a limitation on identifying subjects based on gait patterns, and little is known about the permanence of subject-specific characteristics over time. The purpose of this study was (1) to prove the uniqueness of individual gait patterns within a larger sample and (2) to prove the long-term permanence of individual gait patterns. A sample of 128 healthy participants each walked a distance of 10m barefoot 10 times. Two force plates recorded the ground reaction forces during a double step at a self-selected walking speed. A subsample of 46 participants repeated this procedure after a period of 7-16 months. The application of support vector machines resulted in classification rates of 99.8% (1278 out of 1280) and 99.4% (914 out of 920) for the initial subject-classification and the subsample follow-up-classification, respectively. The results showed that gait patterns based on time-continuous ground reaction forces were unique to an individual and could be differentiated from those of other individuals. Support vector machines classified gait patterns to the corresponding individual almost error-free. Hence, human gait is not only different between individuals but also exhibits unique individual characteristics that are persistent over years. Our findings provide evidence for the individual nature of human walking and emphasise the need to evaluate individualised clinical approaches for diagnoses and therapy.

Addresses

Johannes Gutenberg-University Mainz, Institute of Sport Science, Albert Schweitzer Straße 22, 55128 Mainz, Germany. Electronic address: horst@uni-mainz.de.

Autoren

F Horst
M Mildner
WI Schöllhorn

DOI

10.1016/j.gaitpost.2017.09.003

eISSN

1879-2219

Externe Identifier

PubMed Identifier: 28926814

Open access

false

ISSN

0966-6362

Zeitschrift

Gait & posture

Schlüsselwörter

Humans
Gait
Follow-Up Studies
Adult
Female
Male
Healthy Volunteers
Biomechanical Phenomena
Biological Variation, Population

Sprache

eng

Medium

Print-Electronic

Online publication date

2017

Paginierung

476 - 480

Datum der Veröffentlichung

2017

Status

Published

Datum der Datenerfassung

2017

Titel

One-year persistence of individual gait patterns identified in a follow-up study - A call for individualised diagnose and therapy.

Sub types

Journal Article

Ausgabe der Zeitschrift

58

Datenquelle: Europe PubMed Central

Abstract

Although a hunch about the individuality of human movements generally exists, differences in gait patterns between individuals are often neglected. To date, only a few studies distinguished individual gait patterns in terms of uniqueness and emphasised the relevance of individualised diagnoses and therapy. However, small sample sizes have been a limitation on identifying subjects based on gait patterns, and little is known about the permanence of subject-specific characteristics over time. The purpose of this study was (1) to prove the uniqueness of individual gait patterns within a larger sample and (2) to prove the long-term permanence of individual gait patterns. A sample of 128 healthy participants each walked a distance of 10m barefoot 10 times. Two force plates recorded the ground reaction forces during a double step at a self-selected walking speed. A subsample of 46 participants repeated this procedure after a period of 7-16 months. The application of support vector machines resulted in classification rates of 99.8% (1278 out of 1280) and 99.4% (914 out of 920) for the initial subject-classification and the subsample follow-up-classification, respectively. The results showed that gait patterns based on time-continuous ground reaction forces were unique to an individual and could be differentiated from those of other individuals. Support vector machines classified gait patterns to the corresponding individual almost error-free. Hence, human gait is not only different between individuals but also exhibits unique individual characteristics that are persistent over years. Our findings provide evidence for the individual nature of human walking and emphasise the need to evaluate individualised clinical approaches for diagnoses and therapy.

Date of acceptance

2017

Autoren

F Horst
M Mildner
WI Schöllhorn

Autoren-URL

https://www.ncbi.nlm.nih.gov/pubmed/28926814

DOI

10.1016/j.gaitpost.2017.09.003

eISSN

1879-2219

Zeitschrift

Gait Posture

Schlüsselwörter

Gait
Individual gait patterns
Inter-subject variability
Support vector machines
Uniqueness
Adult
Biological Variation, Population
Biomechanical Phenomena
Female
Follow-Up Studies
Gait
Healthy Volunteers
Humans
Male

Sprache

eng

Country

England

Paginierung

476 - 480

PII

S0966-6362(17)30900-1

Datum der Veröffentlichung

2017

Status

Published

Datum, an dem der Datensatz öffentlich gemacht wurde

2018

Titel

One-year persistence of individual gait patterns identified in a follow-up study - A call for individualised diagnose and therapy.

Sub types

Journal Article

Ausgabe der Zeitschrift

58

Datenquelle: PubMed

Abstract

Although a hunch about the individuality of human movements generally exists, differences in gait patterns between individuals are often neglected. To date, only a few studies distinguished individual gait patterns in terms of uniqueness and emphasised the relevance of individualised diagnoses and therapy. However, small sample sizes have been a limitation on identifying subjects based on gait patterns, and little is known about the permanence of subject-specific characteristics over time. The purpose of this study was (1) to prove the uniqueness of individual gait patterns within a larger sample and (2) to prove the long-term permanence of individual gait patterns. A sample of 128 healthy participants each walked a distance of 10m barefoot 10 times. Two force plates recorded the ground reaction forces during a double step at a self-selected walking speed. A subsample of 46 participants repeated this procedure after a period of 7-16 months. The application of support vector machines resulted in classification rates of 99.8% (1278 out of 1280) and 99.4% (914 out of 920) for the initial subject-classification and the subsample follow-up-classification, respectively. The results showed that gait patterns based on time-continuous ground reaction forces were unique to an individual and could be differentiated from those of other individuals. Support vector machines classified gait patterns to the corresponding individual almost error-free. Hence, human gait is not only different between individuals but also exhibits unique individual characteristics that are persistent over years. Our findings provide evidence for the individual nature of human walking and emphasise the need to evaluate individualised clinical approaches for diagnoses and therapy.

Autoren

F Horst
M Mildner
WI Schöllhorn

DOI

10.1016/j.gaitpost.2017.09.003

Zeitschrift

Gait & posture

Notes

file: http://www.ncbi.nlm.nih.gov/pubmed/28926814

Paginierung

476 - 480

Datum der Veröffentlichung

2017

Datum der Datenerfassung

2021

Titel

One-year persistence of individual gait patterns identified in a follow-up study - A call for individualised diagnose and therapy

Sub types

article

Ausgabe der Zeitschrift

58

Datenquelle: Manual

One-year persistence of individual gait patterns identified in a follow-up study - A call for individualised diagnose and therapy

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