Influence Of Sex On Marker To Marker-less Motion Capture Evaluations Of Gait Biomechanics
Notice bibliographique
Résumé
Marker-based (MB) motion capture is affected by pelvic shape and soft tissue distribution that differ between sexes. Marker-less (ML) motion capture may provide an alternative. PURPOSE: To compare the effect of sex and method on knee and hip kinematics during gait. METHODS: Twenty participants (10 females: Age = 20.3 ± 0.95 years; Body Mass Index = 21 ± 1.83 kg/m2; 10 males: Age = 21.7 ± 1.34 years; Body Mass Index = 23.37 ± 1.37 kg/m2) participated. Participants completed two over-ground gait sessions at a self-selected pace with MB and ML recording a full right limb gait cycle simultaneously. Hip and knee kinematics in the sagittal and frontal plane were extracted and time-normalized from 0-100% of the gait cycle. Statistical parametric mapping using 2 (sex) by 2 (method) ANOVA with repeated measures compared kinematic waveforms. RESULTS: Interaction effects were found for sagittal plane hip angle from 0-7% (p = 0.009) and 71-100% (p = 0.004) of gait (F = 9.013). ML hip flexion angle was lower for 100% of gait compared to MB (p > 0.001, Z = 2.69), but sex comparisons were influenced by method. Females had greater hip flexion than males in MB (p < 0.001, Z = 3.29) from 0-33% and 64-100% of gait but no difference between sexes were found in ML. There was a main effect of method for frontal plane hip angle from 57-79% of gait (p = 0.007, F = 9.728). ML had less hip abduction (p = 0.005, Z = 2.92) from 57-79% of gait compared to MB. A main effect of method was found for sagittal plane knee angle from 3-23% and 39-100% of gait (p < 0.001, F = 11.965) and frontal plane knee angle from 34-40% and 84-92% of the gait cycle (p = 0.033, p = 0.019, F = 11.261). Knee flexion from 1-25% and 38-100% (p < 0.001, Z = 3.11) and knee adduction from 27-41% and 83-93% of gait were less for ML compared with MB, respectively (p = 0.01, p = 0.003, Z = 3.12). A main effect of sex was found for frontal plane hip angle from 0-40% and 63-100% (p = 0.001, F = 9.013). Females had a larger hip adduction angle than males (p = 0.007, Z = 2.86) between 72-90% of gait. CONCLUSION: Motion capture method influences gait comparisons between sexes, particularly at the hip joint. Studies are needed to develop sex specific ML models that identify differences in hip kinematics between males and females. Lastly, consistent main effects were observed of method that indicate some offset between MB and ML methods for other outcomes. Canadian Foundation for Innovation John R. Evans Leader Fund (Project 42110; PI: Pamukoff) Natural Science and Engineering Research Council of Canada (RGPIN-2022-04804; PI: Pamukoff)
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».