A physiology based inverse dynamic analysis of human gait: Potential and perspectives

F. De Groote, G. Pipeleers, I. Jonkers, B. Demeulenaere, Carolynn Patten, J. Swevers, J. De Schutter

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

One approach to compute the musculotendon forces that underlie human motion is to combine an inverse dynamic analysis with a static optimisation procedure. Although computationally efficient, this classical inverse approach fails to incorporate constraints imposed by muscle physiology. The present paper reports on a physiological inverse approach (PIA) that combines an inverse dynamic analysis with a dynamic optimisation procedure. This allows the incorporation of a full description of muscle activation and contraction dynamics, without loss of computational efficiency. A comparison of muscle excitations and MT-forces predicted by the classical and the PIA is presented for normal and pathological gait. Inclusion of muscle physiology primarily affects the rate of active muscle force build-up and decay and allows the estimation of passive muscle force. Consequently, it influences the onset and cessation of the predicted muscle excitations as well as the level of co-contraction.

Original languageEnglish (US)
Pages (from-to)563-574
Number of pages12
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume12
Issue number5
DOIs
StatePublished - Dec 1 2009
Externally publishedYes

Fingerprint

Physiology
Dynamic analysis
Muscle
Computational efficiency
Chemical activation

Keywords

  • Biomechanics
  • Gait
  • Inverse dynamics
  • Motion analysis

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Computer Science Applications
  • Human-Computer Interaction

Cite this

A physiology based inverse dynamic analysis of human gait : Potential and perspectives. / De Groote, F.; Pipeleers, G.; Jonkers, I.; Demeulenaere, B.; Patten, Carolynn; Swevers, J.; De Schutter, J.

In: Computer Methods in Biomechanics and Biomedical Engineering, Vol. 12, No. 5, 01.12.2009, p. 563-574.

Research output: Contribution to journalArticle

De Groote, F. ; Pipeleers, G. ; Jonkers, I. ; Demeulenaere, B. ; Patten, Carolynn ; Swevers, J. ; De Schutter, J. / A physiology based inverse dynamic analysis of human gait : Potential and perspectives. In: Computer Methods in Biomechanics and Biomedical Engineering. 2009 ; Vol. 12, No. 5. pp. 563-574.
@article{9035e14286ad43558f2876facdc65052,
title = "A physiology based inverse dynamic analysis of human gait: Potential and perspectives",
abstract = "One approach to compute the musculotendon forces that underlie human motion is to combine an inverse dynamic analysis with a static optimisation procedure. Although computationally efficient, this classical inverse approach fails to incorporate constraints imposed by muscle physiology. The present paper reports on a physiological inverse approach (PIA) that combines an inverse dynamic analysis with a dynamic optimisation procedure. This allows the incorporation of a full description of muscle activation and contraction dynamics, without loss of computational efficiency. A comparison of muscle excitations and MT-forces predicted by the classical and the PIA is presented for normal and pathological gait. Inclusion of muscle physiology primarily affects the rate of active muscle force build-up and decay and allows the estimation of passive muscle force. Consequently, it influences the onset and cessation of the predicted muscle excitations as well as the level of co-contraction.",
keywords = "Biomechanics, Gait, Inverse dynamics, Motion analysis",
author = "{De Groote}, F. and G. Pipeleers and I. Jonkers and B. Demeulenaere and Carolynn Patten and J. Swevers and {De Schutter}, J.",
year = "2009",
month = "12",
day = "1",
doi = "10.1080/10255840902788587",
language = "English (US)",
volume = "12",
pages = "563--574",
journal = "Computer Methods in Biomechanics and Biomedical Engineering",
issn = "1025-5842",
publisher = "Informa Healthcare",
number = "5",

}

TY - JOUR

T1 - A physiology based inverse dynamic analysis of human gait

T2 - Potential and perspectives

AU - De Groote, F.

AU - Pipeleers, G.

AU - Jonkers, I.

AU - Demeulenaere, B.

AU - Patten, Carolynn

AU - Swevers, J.

AU - De Schutter, J.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - One approach to compute the musculotendon forces that underlie human motion is to combine an inverse dynamic analysis with a static optimisation procedure. Although computationally efficient, this classical inverse approach fails to incorporate constraints imposed by muscle physiology. The present paper reports on a physiological inverse approach (PIA) that combines an inverse dynamic analysis with a dynamic optimisation procedure. This allows the incorporation of a full description of muscle activation and contraction dynamics, without loss of computational efficiency. A comparison of muscle excitations and MT-forces predicted by the classical and the PIA is presented for normal and pathological gait. Inclusion of muscle physiology primarily affects the rate of active muscle force build-up and decay and allows the estimation of passive muscle force. Consequently, it influences the onset and cessation of the predicted muscle excitations as well as the level of co-contraction.

AB - One approach to compute the musculotendon forces that underlie human motion is to combine an inverse dynamic analysis with a static optimisation procedure. Although computationally efficient, this classical inverse approach fails to incorporate constraints imposed by muscle physiology. The present paper reports on a physiological inverse approach (PIA) that combines an inverse dynamic analysis with a dynamic optimisation procedure. This allows the incorporation of a full description of muscle activation and contraction dynamics, without loss of computational efficiency. A comparison of muscle excitations and MT-forces predicted by the classical and the PIA is presented for normal and pathological gait. Inclusion of muscle physiology primarily affects the rate of active muscle force build-up and decay and allows the estimation of passive muscle force. Consequently, it influences the onset and cessation of the predicted muscle excitations as well as the level of co-contraction.

KW - Biomechanics

KW - Gait

KW - Inverse dynamics

KW - Motion analysis

UR - http://www.scopus.com/inward/record.url?scp=77949891503&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77949891503&partnerID=8YFLogxK

U2 - 10.1080/10255840902788587

DO - 10.1080/10255840902788587

M3 - Article

C2 - 19319704

AN - SCOPUS:77949891503

VL - 12

SP - 563

EP - 574

JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

SN - 1025-5842

IS - 5

ER -