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Influence of Skin Marker Positioning and Their Combinations on Hip Joint Center Estimation Using the Functional Method.
Martinez, Lucas; Lalevée, Matthieu; Poirier, Thomas; Brunel, Helena; Matsoukis, Jean; Van Driessche, Stéphane; Billuart, Fabien.
Affiliation
  • Martinez L; Unité de Recherche ERPHAN, UR 20201, UVSQ, 92380 Garches, France.
  • Lalevée M; Laboratoire d'Analyse du Mouvement, Institut de Formation en Masso-Kinésithérapie Saint Michel, 68 rue du Commerce, 75015 Paris, France.
  • Poirier T; CETAPS UR3832, Research Center for Sports and Athletic Activities Transformations, University of Rouen Normandy, 76821 Mont-Saint-Aignan, France.
  • Brunel H; Department of Orthopedic Surgery, Rouen University Hospital, 37 Bd Gambetta, 76000 Rouen, France.
  • Matsoukis J; Laboratoire d'Analyse du Mouvement, Institut de Formation en Masso-Kinésithérapie Saint Michel, 68 rue du Commerce, 75015 Paris, France.
  • Van Driessche S; Laboratoire d'Analyse du Mouvement, Institut de Formation en Masso-Kinésithérapie Saint Michel, 68 rue du Commerce, 75015 Paris, France.
  • Billuart F; Département de Chirurgie Orthopédique, Groupe Hospitalier du Havre, BP24, 76083 Le Havre CEDEX, France.
Bioengineering (Basel) ; 11(3)2024 Mar 21.
Article in En | MEDLINE | ID: mdl-38534571
ABSTRACT
Accurate estimation of hip joint center (HJC) position is crucial during gait analysis. HJC is obtained with predictive or functional methods. But in the functional method, there is no consensus on where to place the skin markers and which combination to use. The objective of this study was to analyze how different combinations of skin markers affect the estimation of HJC position relative to predictive methods. Forty-one healthy volunteers were included in this study; thirteen markers were placed on the pelvis and hip of each subject's lower limbs. Various marker combinations were used to determine the HJC position based on ten calibration movement trials, captured by a motion capture system. The estimated HJC position for each combination was evaluated by focusing on the range and standard deviation of the mean norm values of HJC and the mean X, Y, Z coordinates of HJC for each limb. The combinations that produced the best estimates incorporated the markers on the pelvis and on proximal and easily identifiable muscles, with results close to predictive methods. The combination that excluded the markers on the pelvis was not robust in estimating the HJC position.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Bioengineering (Basel) Year: 2024 Type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Bioengineering (Basel) Year: 2024 Type: Article Affiliation country: France