Evidence map›Paper›PMID 25298322›Full record

ArticleScience translational medicine2014

An osseointegrated human-machine gateway for long-term sensory feedback and motor control of artificial limbs.

Max Ortiz-Catalan, Bo Håkansson, Rickard Brånemark

2 registry-linked trialsAbstract read
PubMed Publisher
In one paragraph

Article in Science translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 163 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 4 pooled it
11.6field-weighted citation impact, top 1% of its field
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.

NCT03178890 naunknown statusnot on this mapstarted 2016, after this paper: background citation

The Osseointegrated Human-machine Gateway

TypeinterventionalSponsorIntegrumRan2016 to 2024Enrolled18ConditionsUpper Limb AmputationArmsOHMG
NCT03913273 nacompletednot on this mapstarted 2019, after this paper: background citation

Agonist-Antagonist Myoneural Interface for Functional Limb Restoration After Transtibial Amputation

TypeinterventionalSponsorMassachusetts Institute of TechnologyRan2019 to 2025Enrolled14ConditionsAmputationArmsAMI transtibial amputation, Standard transtibial amputation
3 · Its place in the literature

Who cites it

163 citing papers in PubMed, 4 syntheses or guidelines pooled it, 469 citations in OpenAlex.

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  10. Measuring satisfaction with orthotic and prosthetic devices.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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103 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Max Ortiz-CatalanDivision of Signal Processing and Biomedical Engineering, Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Center of Orthopaedic Osseointegration and Center of Advanced Reconstruction of Extremities, Department of Orthopaedics, Sahlgrenska University Hospital, University of Gothenburg, SE-431 80 Mölndal, Sweden. maxo@chalmers.se.
Bo HåkanssonDivision of Signal Processing and Biomedical Engineering, Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.
Rickard BrånemarkCenter of Orthopaedic Osseointegration and Center of Advanced Reconstruction of Extremities, Department of Orthopaedics, Sahlgrenska University Hospital, University of Gothenburg, SE-431 80 Mölndal, Sweden.
Chalmers University of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge since the invention of implantable devices has been a reliable and long-term stable transcutaneous communication. In the case of prosthetic limbs, existing neuromuscular interfaces have been unable to address this challenge and provide direct and intuitive neural control. Although prosthetic hardware and decoding algorithms are readily available, there is still a lack of appropriate and stable physiological signals for controlling the devices. We developed a percutaneous osseointegrated (bone-anchored) interface that allows for permanent and unlimited bidirectional communication with the human body. With this interface, an artificial limb can be chronically driven by implanted electrodes in the peripheral nerves and muscles of an amputee, outside of controlled environments and during activities of daily living, thus reducing disability and improving quality of life. We demonstrate in one subject, for more than 1 year, that implanted electrodes provide a more precise and reliable control than surface electrodes, regardless of limb position and environmental conditions, and with less effort. Furthermore, long-term stable myoelectric pattern recognition and appropriate sensory feedback elicited via neurostimulation was demonstrated. The opportunity to chronically record and stimulate the neuromuscular system allows for the implementation of intuitive control and naturally perceived sensory feedback, as well as opportunities for the prediction of complex limb motions and better understanding of sensory perception. The permanent bidirectional interface presented here is a critical step toward more natural limb replacement, by combining stable attachment with permanent and reliable human-machine communication.

Indexed as

Artificial LimbsFeedback, SensoryOsseointegrationActivities of Daily LivingAmputeesElectrodes, ImplantedElectromyographyHumansProsthesis DesignRange of Motion, ArticularTouch PerceptionTranslational Research, Biomedical

Identifiers

PMID25298322
OpenAlexW2101843765

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.