The use of biomechanical visualisation in neurorehabilitation and its effect on ankle-foot orthosis (AFO) tuning in stroke

Bruce Carse, David Loudon, Barry Meadows, Roy Bowers, Philip Rowe

Research output: Contribution to journalConference Contribution

Abstract

Background: Difficulties interpreting the biomechanical data captured by 3D gait analysis (3DGA) systems mean that it is rarely used in routine clinical practice for gait rehabilitation of stroke patients. Biomechanical visualisation software has been designed to make data clinically useful in the context of AFO fitting and tuning for stroke patients. Therapists can use objective quantitative data to assist clinical decision-making. Participants receive an improved understanding of their condition/treatment, and it allows progress tracking.

Objective: Test the hypothesis that stroke patients will receive improved outcomes when biomechanics visualisation is used in the AFO fitting and tuning process.

Patients and methods/material and methods: An RCT is being used (ISRCTN52126764). The intervention arm receive AFO fitting and tuning using 3DGA and visualisation, and the non-intervention arm receive an AFO by standard care (clinicians using observation). Walking velocity, 3D kinematics and kinetics, step length, gait symmetry, mRMI and EuroQol (EQ-5L-5D) are measured at four time points (baseline, AFO provision, three months and six months). Ten participants, 5.7(6) weeks post-stroke, with an average age of 56.4(17) years have been recruited.

Results: Walking velocity improvement (before/after AFO provision) data for the intervention group (n = 5) was 22(21) cm/s versus 1.6(6.4) cm/s for the non-intervention group (n = 5). The difference is significant (p < 0.05, Mann–/INS;Whitney U Test). More extensive results will be available at the time of presentation.

Conclusion: Early data indicate that the visualisation of biomechanical data appears to assist the AFO tuning process, providing stroke patients with better immediate improvements in walking velocity.
Original languageEnglish
Pages (from-to)e552
Number of pages1
JournalJournal of the Neurological Sciences
Volume333
Issue numbersupp 1
DOIs
Publication statusPublished - 15 Oct 2013
EventXXI World Congress of Neurology - Vienna, Austria
Duration: 21 Oct 2013 → …

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Foot Orthoses
Ankle
Visualization
Tuning
Stroke
Gait analysis
Gait
Walking
Biomechanics
Biomechanical Phenomena
Patient rehabilitation
Arm
Kinematics
Decision making
Kinetics
Nonparametric Statistics
Neurological Rehabilitation
Software
Observation

Keywords

  • biomechanical data
  • 3D gait analysis
  • stroke patients

Cite this

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title = "The use of biomechanical visualisation in neurorehabilitation and its effect on ankle-foot orthosis (AFO) tuning in stroke",
abstract = "Background: Difficulties interpreting the biomechanical data captured by 3D gait analysis (3DGA) systems mean that it is rarely used in routine clinical practice for gait rehabilitation of stroke patients. Biomechanical visualisation software has been designed to make data clinically useful in the context of AFO fitting and tuning for stroke patients. Therapists can use objective quantitative data to assist clinical decision-making. Participants receive an improved understanding of their condition/treatment, and it allows progress tracking.Objective: Test the hypothesis that stroke patients will receive improved outcomes when biomechanics visualisation is used in the AFO fitting and tuning process.Patients and methods/material and methods: An RCT is being used (ISRCTN52126764). The intervention arm receive AFO fitting and tuning using 3DGA and visualisation, and the non-intervention arm receive an AFO by standard care (clinicians using observation). Walking velocity, 3D kinematics and kinetics, step length, gait symmetry, mRMI and EuroQol (EQ-5L-5D) are measured at four time points (baseline, AFO provision, three months and six months). Ten participants, 5.7(6) weeks post-stroke, with an average age of 56.4(17) years have been recruited.Results: Walking velocity improvement (before/after AFO provision) data for the intervention group (n = 5) was 22(21) cm/s versus 1.6(6.4) cm/s for the non-intervention group (n = 5). The difference is significant (p < 0.05, Mann–/INS;Whitney U Test). More extensive results will be available at the time of presentation.Conclusion: Early data indicate that the visualisation of biomechanical data appears to assist the AFO tuning process, providing stroke patients with better immediate improvements in walking velocity.",
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The use of biomechanical visualisation in neurorehabilitation and its effect on ankle-foot orthosis (AFO) tuning in stroke. / Carse, Bruce; Loudon, David; Meadows, Barry; Bowers, Roy; Rowe, Philip.

In: Journal of the Neurological Sciences, Vol. 333, No. supp 1, 15.10.2013, p. e552.

Research output: Contribution to journalConference Contribution

TY - JOUR

T1 - The use of biomechanical visualisation in neurorehabilitation and its effect on ankle-foot orthosis (AFO) tuning in stroke

AU - Carse, Bruce

AU - Loudon, David

AU - Meadows, Barry

AU - Bowers, Roy

AU - Rowe, Philip

PY - 2013/10/15

Y1 - 2013/10/15

N2 - Background: Difficulties interpreting the biomechanical data captured by 3D gait analysis (3DGA) systems mean that it is rarely used in routine clinical practice for gait rehabilitation of stroke patients. Biomechanical visualisation software has been designed to make data clinically useful in the context of AFO fitting and tuning for stroke patients. Therapists can use objective quantitative data to assist clinical decision-making. Participants receive an improved understanding of their condition/treatment, and it allows progress tracking.Objective: Test the hypothesis that stroke patients will receive improved outcomes when biomechanics visualisation is used in the AFO fitting and tuning process.Patients and methods/material and methods: An RCT is being used (ISRCTN52126764). The intervention arm receive AFO fitting and tuning using 3DGA and visualisation, and the non-intervention arm receive an AFO by standard care (clinicians using observation). Walking velocity, 3D kinematics and kinetics, step length, gait symmetry, mRMI and EuroQol (EQ-5L-5D) are measured at four time points (baseline, AFO provision, three months and six months). Ten participants, 5.7(6) weeks post-stroke, with an average age of 56.4(17) years have been recruited.Results: Walking velocity improvement (before/after AFO provision) data for the intervention group (n = 5) was 22(21) cm/s versus 1.6(6.4) cm/s for the non-intervention group (n = 5). The difference is significant (p < 0.05, Mann–/INS;Whitney U Test). More extensive results will be available at the time of presentation.Conclusion: Early data indicate that the visualisation of biomechanical data appears to assist the AFO tuning process, providing stroke patients with better immediate improvements in walking velocity.

AB - Background: Difficulties interpreting the biomechanical data captured by 3D gait analysis (3DGA) systems mean that it is rarely used in routine clinical practice for gait rehabilitation of stroke patients. Biomechanical visualisation software has been designed to make data clinically useful in the context of AFO fitting and tuning for stroke patients. Therapists can use objective quantitative data to assist clinical decision-making. Participants receive an improved understanding of their condition/treatment, and it allows progress tracking.Objective: Test the hypothesis that stroke patients will receive improved outcomes when biomechanics visualisation is used in the AFO fitting and tuning process.Patients and methods/material and methods: An RCT is being used (ISRCTN52126764). The intervention arm receive AFO fitting and tuning using 3DGA and visualisation, and the non-intervention arm receive an AFO by standard care (clinicians using observation). Walking velocity, 3D kinematics and kinetics, step length, gait symmetry, mRMI and EuroQol (EQ-5L-5D) are measured at four time points (baseline, AFO provision, three months and six months). Ten participants, 5.7(6) weeks post-stroke, with an average age of 56.4(17) years have been recruited.Results: Walking velocity improvement (before/after AFO provision) data for the intervention group (n = 5) was 22(21) cm/s versus 1.6(6.4) cm/s for the non-intervention group (n = 5). The difference is significant (p < 0.05, Mann–/INS;Whitney U Test). More extensive results will be available at the time of presentation.Conclusion: Early data indicate that the visualisation of biomechanical data appears to assist the AFO tuning process, providing stroke patients with better immediate improvements in walking velocity.

KW - biomechanical data

KW - 3D gait analysis

KW - stroke patients

UR - http://www2.kenes.com/wcn/scientific/Pages/Abstracts.aspx

UR - https://www.sciencedirect.com/science/article/pii/S0022510X13022491

U2 - 10.1016/j.jns.2013.07.1938

DO - 10.1016/j.jns.2013.07.1938

M3 - Conference Contribution

VL - 333

SP - e552

JO - Journal of the Neurological Sciences

JF - Journal of the Neurological Sciences

SN - 0022-510X

IS - supp 1

ER -