Evidence map›Paper›PMID 39497195›Full record

ArticleJournal of neuroengineering and rehabilitation2024

Role of joint interactions in upper limb joint movements: a disability simulation study using wearable inertial sensors for 3D motion capture.

Nishtha Bhagat, Preeti Raghavan, Vikram Kapila

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Nishtha BhagatMechanical and Aerospace Engineering Department, NYU Tandon School of Engineering, Brooklyn, NY, 11201, USA.
Preeti Raghavan *Physical Medicine and Rehabilitation and Neurology Departments, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Vikram Kapila *Mechanical and Aerospace Engineering Department, NYU Tandon School of Engineering, Brooklyn, NY, 11201, USA. vkapila@nyu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRestriction of movement at a joint due to disease or dysfunction can alter the range of motion (ROM) at other joints due to joint interactions. In this paper, we quantify the extent to which joint restrictions impact upper limb joint movements by conducting a disability simulation study that used wearable inertial sensors for three-dimensional (3D) motion capture.

methodsWe employed the Wearable Inertial Sensors for Exergames (WISE) system for assessing the ROM at the shoulder (flexion-extension, abduction-adduction, and internal-external rotation), elbow (flexion-extension), and forearm (pronation-supination). We recruited 20 healthy individuals to first perform instructed shoulder, elbow, and forearm movements without any external restrictions, and then perform the same movements with restriction braces placed to limit movement at the shoulder, elbow, and forearm, separately, to simulate disability. To quantify the extent to which a restriction at a non-instructed joint affected movement at an instructed joint, we computed average percentage reduction in ROM in the restricted versus unrestricted conditions. Moreover, we performed analysis of variance and post hoc Tukey tests (q statistic) to determine the statistical significance (p < 0.05 denoted using

resultsRestricting movement at the shoulder led to a large reduction in the average ROM for elbow flexion-extension (21.93%, q = 9.34

conclusionsJoint interactions across non-instructed joints can reduce the ROM of instructed movements. Assessment of ROM in the real-world using 3D motion capture, for example using the WISE system, can aid in understanding movement limitations, informing interventions, and monitoring progress with rehabilitation.

Indexed as

Range of Motion, ArticularUpper ExtremityWearable Electronic DevicesAdultBiomechanical PhenomenaElbow JointFemaleForearmHumansMaleMotion CaptureMovementShoulder JointYoung AdultDisability simulationJoint interactionsJoint movementRange of motionRestriction conditionUpper limb

Identifiers

PMID39497195
PMCPMC11536617

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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.