Evidence map›Paper›PMID 31891379›Full record

ArticleJournal of biomechanical engineering2020

Tracking Joint Angles During Whole-Arm Movements Using Electromagnetic Sensors.

Ryan Clark, Taylor Dickinson, Johnfredy Loaiza, Daniel W Geiger, Steven K Charles

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Flexible Perception of Tactile Cues in Multiple Reference Frames.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Distribution of tremor among the major degrees of freedom of the upper limb in subjects with Essential Tremor.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020
    Article
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

5 authors.

Ryan ClarkDepartment of Mechanical Engineering, Brigham Young University, Provo, UT 84602.
Taylor DickinsonDepartment of Mechanical Engineering, Brigham Young University, Provo, UT 84602.
Johnfredy LoaizaDepartment of Mechanical Engineering, Brigham Young University, Provo, UT 84602.
Daniel W GeigerDepartment of Mechanical Engineering, Brigham Young University, Provo, UT 84602.
Steven K CharlesDepartment of Mechanical Engineering, Brigham Young University, Provo, UT 84602; Neuroscience Center, Brigham Young UniversityProvo, UT 84602.

Funding

Quantitative Characterization of Essential Tremor for Future Tremor SuppressionR15NS087447 · NINDS · BRIGHAM YOUNG UNIVERSITY · PI CHARLES, STEVEN KNIGHT · 2015 to 2021
$868k
NINDS NIH HHS R15 NS087447
6 · The paper itself

Abstract

Electromagnetic (EM) motion tracking systems are suitable for many research and clinical applications, including in vivo measurements of whole-arm movements. Unfortunately, the methodology for in vivo measurements of whole-arm movements using EM sensors is not well described in the literature, making it difficult to perform new measurements and all but impossible to make meaningful comparisons between studies. The recommendations of the International Society of Biomechanics (ISB) have provided a great service, but by necessity they do not provide clear guidance or standardization on all required steps. The goal of this paper was to provide a comprehensive methodology for using EM sensors to measure whole-arm movements in vivo. We selected methodological details from past studies that were compatible with the ISB recommendations and suitable for measuring whole-arm movements using EM sensors, filling in gaps with recommendations from our own past experiments. The presented methodology includes recommendations for defining coordinate systems (CSs) and joint angles, placing sensors, performing sensor-to-body calibration, calculating rotation matrices from sensor data, and extracting unique joint angles from rotation matrices. We present this process, including all equations, for both the right and left upper limbs, models with nine or seven degrees-of-freedom (DOF), and two different calibration methods. Providing a detailed methodology for the entire process in one location promotes replicability of studies by allowing researchers to clearly define their experimental methods. It is hoped that this paper will simplify new investigations of whole-arm movement using EM sensors and facilitate comparison between studies.

Indexed as

ArmElectromagnetic PhenomenaJointsMovementBiomechanical PhenomenaCalibrationHumanselectromagnetic sensorsinverse kinematicsin vivo measurementsISBlandmarkposturalsensor-to-bodysensor-to-segmentupper limbwhole arm

Identifiers

PMID31891379
PMCPMC10782867

What OpenQuestion holds

Textmetadata
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.