Evidence map›Paper›PMID 35590949›Full record

ArticleSensors (Basel, Switzerland)2022

Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.

Giacomo Di Raimondo, Benedicte Vanwanseele, Arthur van der Have, Jill Emmerzaal, Miel Willems, Bryce Adrian Killen, Ilse Jonkers

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

7 authors.

Giacomo Di RaimondoDepartment of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.ORCID 0000-0001-6251-0637
Benedicte VanwanseeleDepartment of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.ORCID 0000-0002-6158-9483
Arthur van der HaveDepartment of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.ORCID 0000-0001-7770-5269
Jill EmmerzaalDepartment of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.ORCID 0000-0002-9218-7604
Miel WillemsDepartment of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.
Bryce Adrian KillenDepartment of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.ORCID 0000-0001-6389-2497
Ilse JonkersDepartment of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.ORCID 0000-0001-7611-3747

Funding

KU Leuven 3M200591Research Foundation - Flanders G0E4521NResearch Foundation - Flanders T004716N
6 · The paper itself

Abstract

Inertial capture (InCap) systems combined with musculoskeletal (MSK) models are an attractive option for monitoring 3D joint kinematics in an ecological context. However, the primary limiting factor is the sensor-to-segment calibration, which is crucial to estimate the body segment orientations. Walking, running, and stair ascent and descent trials were measured in eleven healthy subjects with the Xsens InCap system and the Vicon 3D motion capture (MoCap) system at a self-selected speed. A novel integrated method that combines previous sensor-to-segment calibration approaches was developed for use in a MSK model with three degree of freedom (DOF) hip and knee joints. The following were compared: RMSE, range of motion (ROM), peaks, and R

Indexed as

Knee JointWalkingBiomechanical PhenomenaCalibrationGaitHumansRange of Motion, Articular3D joint kinematicsbiomechanical modelIMUjoint angleslower-body kinematicsmotion analysismusculoskeletalopen-sourcesensor-to-segment calibrationwearable sensors

Identifiers

PMID35590949
PMCPMC9104520

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.