Evidence map›Paper›PMID 36399487›Full record

ArticlePloS one2022

Kinematic analysis of impairments and compensatory motor behavior during prosthetic grasping in below-elbow amputees.

Amélie Touillet, Adrienne Gouzien, Marina Badin, Pierrick Herbe, Noël Martinet, Nathanaël Jarrassé, Agnès Roby-Brami

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07666204 (Using Sensorimotor Reorganization Following Upper Limb Amputation to Improve Prosthetic Control), which is not on this 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.

NCT07666204 narecruitingnot on this mapstarted 2026, after this paper: background citation

Using Sensorimotor Reorganization Following Upper Limb Amputation to Improve Prosthetic Control

TypeinterventionalSponsorUnion de Gestion des Etablissements des Caisses d'Assurance Maladie - Nord EstRan2026 to 2030Enrolled50ConditionsAmputation of Upper Limb, Agenesis of Upper LimbArmsCaracterisation, Mapping, Phantom sensations, Classification, Prosthetic control
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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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.

Amélie TouilletLouis Pierquin Centre of the Regional Institute of Rehabilitation, UGECAM Nord Est, Nancy, France.
Adrienne GouzienService de psychiatrie, Pôle Paris Centre, Hôpitaux de Saint-Maurice, Saint-Maurice, France.ORCID 0000-0002-8535-4267
Marina BadinLouis Pierquin Centre of the Regional Institute of Rehabilitation, UGECAM Nord Est, Nancy, France.
Pierrick HerbeLouis Pierquin Centre of the Regional Institute of Rehabilitation, UGECAM Nord Est, Nancy, France.
Noël MartinetLouis Pierquin Centre of the Regional Institute of Rehabilitation, UGECAM Nord Est, Nancy, France.
Nathanaël JarrasséInstitute of Intelligent Systems and Robotics (ISIR), UMR 7222, CNRS/INSERM, U1150 Agathe-ISIR, Sorbonne University, Paris, France.
Agnès Roby-BramiInstitute of Intelligent Systems and Robotics (ISIR), UMR 7222, CNRS/INSERM, U1150 Agathe-ISIR, Sorbonne University, Paris, France.ORCID 0000-0002-6196-7229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After a major upper limb amputation, the use of myoelectric prosthesis as assistive devices is possible. However, these prostheses remain quite difficult to control for grasping and manipulation of daily life objects. The aim of the present observational case study is to document the kinematics of grasping in a group of 10 below-elbow amputated patients fitted with a myoelectric prosthesis in order to describe and better understand their compensatory strategies. They performed a grasping to lift task toward 3 objects (a mug, a cylinder and a cone) placed at two distances within the reaching area in front of the patients. The kinematics of the trunk and upper-limb on the non-amputated and prosthetic sides were recorded with 3 electromagnetic Polhemus sensors placed on the hand, the forearm (or the corresponding site on the prosthesis) and the ipsilateral acromion. The 3D position of the elbow joint and the shoulder and elbow angles were calculated thanks to a preliminary calibration of the sensor position. We examined first the effect of side, distance and objects with non-parametric statistics. Prosthetic grasping was characterized by severe temporo-spatial impairments consistent with previous clinical or kinematic observations. The grasping phase was prolonged and the reaching and grasping components uncoupled. The 3D hand displacement was symmetrical in average, but with some differences according to the objects. Compensatory strategies involved the trunk and the proximal part of the upper-limb, as shown by a greater 3D displacement of the elbow for close target and a greater forward displacement of the acromion, particularly for far targets. The hand orientation at the time of grasping showed marked side differences with a more frontal azimuth, and a more "thumb-up" roll. The variation of hand orientation with the object on the prosthetic side, suggested that the lack of finger and wrist mobility imposed some adaptation of hand pose relative to the object. The detailed kinematic analysis allows more insight into the mechanisms of the compensatory strategies that could be due to both increased distal or proximal kinematic constraints. A better knowledge of those compensatory strategies is important for the prevention of musculoskeletal disorders and the development of innovative prosthetics.

Indexed as

AmputeesArtificial LimbsElbow JointBiomechanical PhenomenaElbowHumans

Identifiers

PMID36399487
PMCPMC9674132

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Registered trials

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.