Evidence map›Paper›PMID 24500407›Full record

ArticleScience translational medicine2014

Restoring natural sensory feedback in real-time bidirectional hand prostheses.

Stanisa Raspopovic, Marco Capogrosso, Francesco Maria Petrini, Marco Bonizzato, Jacopo Rigosa, Giovanni Di Pino, Jacopo Carpaneto, Marco Controzzi, Tim Boretius, Eduardo Fernandez and 11 more

2 registry-linked trialsOpen access · greenAbstract 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 323 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
323citing papers in PubMed, 2 pooled it
51.0field-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.

NCT05650931 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Peripheral Nerve Stimulation and Spinal Cord Stimulation in Patients With Phantom Limb Pain After Upper Limb Amputation for Phantom Limb Pain Suppression and Development of the Biomarkers

TypeinterventionalSponsorArtur BiktimirovRan2021 to 2025Enrolled10ConditionsPhantom Limb Pain, Phantom Pain, AmputationArmsImplantation of PNS electrodes during surgery, mapping to select sites with the best effect and pain modulation., SCS electrode implantation at surgery, mapping to select sites with the best effect and pain modulation., EEG to search for phantom pain biomarkers
NCT05807607 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Peripheral Nerve and Spinal Cord Stimulation in Patients With Pain Syndrome as a Result of Lower Limb Amputation in Order to Relieve Pain Syndrome and Develop Phantom Pain Biomarkers

TypeinterventionalSponsorArtur BiktimirovRan2022 to 2025Enrolled10ConditionsPhantom Limb Pain, Phantom Pain, Amputation, Lower Limb AmputationArmsImplantation of PNS electrodes during surgery, mapping to select sites with the best effect and daily modulation., SCS electrode implantation at surgery, mapping to select sites with the best effect and pain modulation, Change according to the scale of the PainDetect questionnaire
3 · Its place in the literature

Who cites it

323 citing papers in PubMed, 2 syntheses or guidelines pooled it, 988 citations in OpenAlex.

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263 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 4 institutions in 2 countries.

Stanisa RaspopovicThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa 56025, Italy.
Marco Capogrosso
Francesco Maria Petrini
Marco Bonizzato
Jacopo Rigosa
Giovanni Di Pino
Jacopo Carpaneto
Marco Controzzi
Tim Boretius
Eduardo Fernandez
Giuseppe Granata
Calogero Maria Oddo
Luca Citi
Anna Lisa Ciancio
Christian Cipriani
Maria Chiara Carrozza
Winnie Jensen
Eugenio Guglielmelli
Thomas Stieglitz
Paolo Maria Rossini
Silvestro Micera
Scuola Superiore Sant'Anna · ITIstituto di Ricovero e Cura a Carattere Scientifico San RaffaeleUniversità Cattolica del Sacro Cuore · ITUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a close to natural replacement for the lost hand, the user should be provided with the rich sensations that we naturally perceive when grasping or manipulating an object. Ideal bidirectional hand prostheses should involve both a reliable decoding of the user's intentions and the delivery of nearly "natural" sensory feedback through remnant afferent pathways, simultaneously and in real time. However, current hand prostheses fail to achieve these requirements, particularly because they lack any sensory feedback. We show that by stimulating the median and ulnar nerve fascicles using transversal multichannel intrafascicular electrodes, according to the information provided by the artificial sensors from a hand prosthesis, physiologically appropriate (near-natural) sensory information can be provided to an amputee during the real-time decoding of different grasping tasks to control a dexterous hand prosthesis. This feedback enabled the participant to effectively modulate the grasping force of the prosthesis with no visual or auditory feedback. Three different force levels were distinguished and consistently used by the subject. The results also demonstrate that a high complexity of perception can be obtained, allowing the subject to identify the stiffness and shape of three different objects by exploiting different characteristics of the elicited sensations. This approach could improve the efficacy and "life-like" quality of hand prostheses, resulting in a keystone strategy for the near-natural replacement of missing hands.

Indexed as

Artificial LimbsComputer SystemsAdultElectric StimulationFeedback, SensoryHandHand StrengthHumansMalePeripheral Nerves

Identifiers

PMID24500407
OpenAlexW2134500330

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.