Estimation of the knee adduction moment and joint contact force during daily living activities using inertial motion capture

Autor: Michael Skipper Andersen, H. Martin Schepers, Mark de Zee, Jason M. Konrath, Angelos Karatsidis, Giovanni Bellusci
Přispěvatelé: Department of Governance and Technology for Sustainability
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
Inertial frame of reference
Activities of daily living
Knee Joint
Biosensing Techniques
02 engineering and technology
Osteoarthritis
Kinematics
lcsh:Chemical technology
Biochemistry
Analytical Chemistry
0302 clinical medicine
Activities of Daily Living
lcsh:TP1-1185
Femur
Gait
Instrumentation
Mathematics
Wearable technology
Middle Aged
Osteoarthritis
Knee

IMU
Atomic and Molecular Physics
and Optics

humanities
symbols
Female
Knee osteoarthritis
Motion capture
medicine.medical_specialty
Movement
0206 medical engineering
Article
Musculoskeletal model
Contact force
03 medical and health sciences
symbols.namesake
Physical medicine and rehabilitation
Inertial measurement unit
medicine
Humans
Electrical and Electronic Engineering
Muscle
Skeletal

Aged
Mechanical Phenomena
Tibia
030229 sport sciences
medicine.disease
020601 biomedical engineering
Pearson product-moment correlation coefficient
human activities
Zdroj: Konrath, J, Karatsidis, A, Schepers, M, Bellusci, G, de Zee, M & Andersen, M S 2019, ' Estimation of the knee adduction moment and joint contact force during daily living activities using inertial motion capture ', Sensors, vol. 19, no. 7, 1681 . https://doi.org/10.3390/s19071681
Sensors (Switzerland), 19(7):1681. MDPI
Sensors, Vol 19, Iss 7, p 1681 (2019)
Sensors
Volume 19
Issue 7
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Popis: Knee osteoarthritis is a major cause of pain and disability in the elderly population with many daily living activities being difficult to perform as a result of this disease. The present study aimed to estimate the knee adduction moment and tibiofemoral joint contact force during daily living activities using a musculoskeletal model with inertial motion capture derived kinematics in an elderly population. Eight elderly participants were instrumented with 17 inertial measurement units, as well as 53 opto-reflective markers affixed to anatomical landmarks. Participants performed stair ascent, stair descent, and sit-to-stand movements while both motion capture methods were synchronously recorded. A musculoskeletal model containing 39 degrees-of-freedom was used to estimate the knee adduction moment and tibiofemoral joint contact force. Strong to excellent Pearson correlation coefficients were found for the IMC-derived kinematics across the daily living tasks with root mean square errors (RMSE) between 3°
and 7°
Furthermore, moderate to strong Pearson correlation coefficients were found in the knee adduction moment and tibiofemoral joint contact forces with RMSE between 0.006&ndash
0.014 body weight ×
body height and 0.4 to 1 body weights, respectively. These findings demonstrate that inertial motion capture may be used to estimate knee adduction moments and tibiofemoral contact forces with comparable accuracy to optical motion capture.
Databáze: OpenAIRE