Optimized scoring tool to quantify the functional performance during the sit-to-stand transition with a magneto-inertial measurement unit

Autor: Frédéric Marin, Khalil Ben Mansour, Adrien J. Letocart, Kiyoka Kinugawa, Jean-Francois Grosset, Sofiane Boudaoud, Kevin Lepetit
Přispěvatelé: Biomécanique et Bioingénierie (BMBI), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Caractérisation et Modélisation personnalisée du Système MUsculo-SqueleTtique (C2MUST), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Ben Mansour, Khalil
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Adult
Male
Motion analysis
medicine.medical_specialty
Adolescent
Computer science
Frail Elderly
Movement
0206 medical engineering
Posture
Biophysics
02 engineering and technology
Kinematics
03 medical and health sciences
Wearable Electronic Devices
Young Adult
0302 clinical medicine
Physical medicine and rehabilitation
medicine
Humans
Orthopedics and Sports Medicine
[PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph]
ComputingMilieux_MISCELLANEOUS
Statistical hypothesis testing
Aged
Principal Component Analysis
Sitting Position
Models
Statistical
Receiver operating characteristic
[PHYS.MECA.BIOM] Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph]
Nonparametric statistics
Age Factors
[SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph]
Physical Functional Performance
Explained variation
020601 biomedical engineering
Biomechanical Phenomena
ROC Curve
Principal component analysis
Radar chart
Female
030217 neurology & neurosurgery
Algorithms
Zdroj: Clinical Biomechanics
Clinical Biomechanics, Elsevier, 2019, 69, pp.109-114. ⟨10.1016/j.clinbiomech.2019.07.012⟩
Clinical Biomechanics, 2019, 69, pp.109-114. ⟨10.1016/j.clinbiomech.2019.07.012⟩
ISSN: 0268-0033
1879-1271
Popis: Background Sit-to-stand is used as a qualitative test to evaluate functional performance, especially to detect fall risks and frail individuals. The use of various quantitative criteria would enable a better understanding of musculoskeletal deficits and movement strategy modifications. This quantification was proven possible with a magneto-inertial unit which provides a compatible wearable device for clinical routine motion analysis. Methods Sit-to-stand movements were recorded using a single magneto-inertial measurement unit fixed on the chest for 74 subjects in three groups healthy young, healthy senior and frail. MIMU data was used to compute 15 spatiotemporal, kinematic and energetic parameters. Nonparametric statistical test showed a significant influence of age and frailness. After reducing the number of parameters by a principal component analysis, an AgingScore and a FrailtyScore were computed. Findings The fraction of variance explained by the first principal component was 77.48 ± 2.80% for principal component analysis with healthy young and healthy senior groups, and 74.94 ± 2.24% with healthy and frail senior groups. By receiver operating characteristic curve analysis of this score, we were able to refine the analysis to differentiate between healthy young and healthy senior subjects as well as healthy senior and frail subjects. By radar plot of the most discriminate parameters, the motion's strategy could be characterized and be used to detect premature functional deficit or frail subjects. Interpretation Sit-to-stand measured by a single magneto-inertial unit and dedicated post processing is able to quantify subject's musculoskeletal performance and will allow longitudinal investigation of aging population.
Databáze: OpenAIRE
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