Evidence map›Paper›PMID 30970538›Full record

ArticleSensors (Basel, Switzerland)2019

Estimation of the Knee Adduction Moment and Joint Contact Force during Daily Living Activities Using Inertial Motion Capture.

Jason M Konrath, Angelos Karatsidis, H Martin Schepers, Giovanni Bellusci, Mark de Zee, Michael S Andersen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jason M KonrathDepartment of Technology, Xsens Technologies B.V., Enschede 7521 PR, The Netherlands. Jason.Konrath@xsens.com.
Angelos KaratsidisDepartment of Technology, Xsens Technologies B.V., Enschede 7521 PR, The Netherlands. angelos.karatsidis@xsens.com.ORCID 0000-0001-6474-9377
H Martin SchepersDepartment of Technology, Xsens Technologies B.V., Enschede 7521 PR, The Netherlands. hmartinschepers@gmail.com.
Giovanni BellusciDepartment of Technology, Xsens Technologies B.V., Enschede 7521 PR, The Netherlands. giovanni.bellusci@xsens.com.ORCID 0000-0002-5514-2503
Mark de ZeeDepartment of Health Science and Technology, Aalborg University, Aalborg 9220, Denmark. mdz@hst.aau.dk.ORCID 0000-0003-0584-271X
Michael S AndersenDepartment of Materials and Production, Aalborg University, Aalborg 9220, Denmark. msa@mp.aau.dk.ORCID 0000-0001-8275-9472

Funding

Seventh Framework Programme 607510
6 · The paper itself

Abstract

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 0.006⁻0.014 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.

Indexed as

Biosensing TechniquesActivities of Daily LivingAgedFemaleFemurGaitHumansKnee JointMaleMechanical PhenomenaMiddle AgedMovementMuscle, SkeletalOsteoarthritis, KneeTibiaIMUknee osteoarthritismotion capturemusculoskeletal modelwearable technology

Identifiers

PMID30970538
PMCPMC6480627

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.