Evidence map›Paper›PMID 39103888›Full record

ArticleJournal of neuroengineering and rehabilitation2024

Smart ArM: a customizable and versatile robotic arm prosthesis platform for Cybathlon and research.

Sébastien Mick, Charlotte Marchand, Étienne de Montalivet, Florian Richer, Mathilde Legrand, Alexandre Peudpièce, Laurent Fabre, Christophe Huchet, Nathanaël Jarrassé

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sébastien MickInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France. mick@isir.upmc.fr.
Charlotte MarchandInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France.
Étienne de MontalivetInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France.
Florian RicherInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France.
Mathilde LegrandInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France.
Alexandre PeudpièceInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France.
Laurent FabreInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France.
Christophe HuchetInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France.
Nathanaël JarrasséInstitut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, CNRS, INSERM, 75005, Paris, France. jarrasse@isir.upmc.fr.

Funding

Agence Nationale de la Recherche BYCEPS, ANR-18-CE19-0004
6 · The paper itself

Abstract

backgroundIn the last decade, notable progress in mechatronics paved the way for a new generation of arm prostheses, expanding motor capabilities thanks to their multiple active joints. Yet, the design of control schemes for these advanced devices still poses a challenge, especially with the limited availability of command signals for higher levels of arm impairment. When addressing this challenge, current commercial devices lack versatility and customizing options to be employed as test-beds for developing novel control schemes. As a consequence, researchers resort to using lab-specific experimental apparatuses on which to deploy their innovations, such as virtual reality setups or mock prosthetic devices worn by unimpaired participants.

methodsTo meet this need for a test-bed, we developed the Smart Arm platform, a human-like, multi-articulated robotic arm that can be worn as a trans-humeral arm prosthesis. The design process followed three principles: provide a reprogrammable embedded system allowing in-depth customization of control schemes, favor easy-to-buy parts rather than custom-made components, and guarantee compatibility with industrial standards in prosthetics.

resultsThe Smart ArM platform includes motorized elbow and wrist joints while being compatible with commercial prosthetic hands. Its software and electronic architecture can be easily adapted to build devices with a wide variety of sensors and actuators. This platform was employed in several experiments studying arm prosthesis control and sensory feedback. We also report our participation in Cybathlon, where our pilot with forearm agenesia successfully drives the Smart Arm prosthesis to perform activities of daily living requiring both strength and dexterity.

conclusionThese application scenarios illustrate the versatility and adaptability of the proposed platform, for research purposes as well as outside the lab. The Smart Arm platform offers a test-bed for experimenting with prosthetic control laws and command signals, suitable for running tests in lifelike settings where impaired participants wear it as a prosthetic device. In this way, we aim at bridging a critical gap in the field of upper limb prosthetics: the need for realistic, ecological test conditions to assess the actual benefit of a technological innovation for the end-users.

Indexed as

Artificial LimbsProsthesis DesignRoboticsArmHumansArm prosthesisCybathlonRehabilitation engineeringResearch test-bedRobotic arm

Identifiers

PMID39103888
PMCPMC11299288

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.