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Inclusion of a skeletal model partly improves the reliability of lower limb joint angles derived from a markerless depth camera.
Collings, Tyler J; Devaprakash, Daniel; Pizzolato, Claudio; Lloyd, David G; Barrett, Rod S; Lenton, Gavin K; Thomeer, Lucas T; Bourne, Matthew N.
Afiliação
  • Collings TJ; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Australia; Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), In The Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast C
  • Devaprakash D; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Australia; Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), In The Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast C
  • Pizzolato C; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Australia; Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), In The Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast C
  • Lloyd DG; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Australia; Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), In The Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast C
  • Barrett RS; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Australia; Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), In The Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast C
  • Lenton GK; Vald Performance, Brisbane, Queensland, Australia.
  • Thomeer LT; Vald Performance, Brisbane, Queensland, Australia.
  • Bourne MN; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Australia; Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), In The Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast C
J Biomech ; 170: 112160, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38824704
ABSTRACT
A single depth camera provides a fast and easy approach to performing biomechanical assessments in a clinical setting; however, there are currently no established methods to reliably determine joint angles from these devices. The primary aim of this study was to compare joint angles as well as the between-day reliability of direct kinematics to model-constrained inverse kinematics recorded using a single markerless depth camera during a range of clinical and athletic movement assessments.A secondary aim was to determine the minimum number of trials required to maximize reliability. Eighteen healthy participants attended two testing sessions one week apart. Tasks included treadmill walking, treadmill running, single-leg squats, single-leg countermovement jumps, bilateral countermovement jumps, and drop vertical jumps. Keypoint data were processed using direct kinematics as well as in OpenSim using a full-body musculoskeletal model and inverse kinematics. Kinematic methods were compared using statistical parametric mapping and between-day reliability was calculated using intraclass correlation coefficients, mean absolute error, and minimal detectable change. Keypoint-derived inverse kinematics resulted in significantly smaller hip flexion (range = -9 to -2°), hip abduction (range = -3 to -2°), knee flexion (range = -5° to -2°), and greater dorsiflexion angles (range = 6-15°) than direct kinematics. Both markerless kinematic methods had high between-day reliability (inverse kinematics ICC 95 %CI = 0.83-0.90; direct kinematics ICC 95 %CI = 0.80-0.93). For certain tasks and joints, keypoint-derived inverse kinematics resulted in greater reliability (up to 0.47 ICC) and smaller minimal detectable changes (up to 13°) than direct kinematics. Performing 2-4 trials was sufficient to maximize reliability for most tasks. A single markerless depth camera can reliably measure lower limb joint angles, and skeletal model-constrained inverse kinematics improves lower limb joint angle reliability for certain tasks and joints.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Articulação do Quadril Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Articulação do Quadril Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article