Evidence map›Paper›PMID 42704042›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Osseoperceptive EMG Feedback Improves Grasp Force Control in Myoelectric Prosthetic Hands.

Cristian Felipe Blanco-Diaz, Strahinja Dosen, Leonardo Cappello

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

3 authors.

Cristian Felipe Blanco-DiazThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0000-0002-8083-7454
Strahinja Dosen *Department of Health, Science, and Technology, Aalborg University, Aalborg, Denmark.ORCID https://orcid.org/0000-0003-3035-147X
Leonardo Cappello *The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0000-0003-2716-9300

Funding

European Union 101116249Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro PR23-PAS-P1
6 · The paper itself

Abstract

Restoring sensory feedback is essential for achieving accurate and natural control of myoelectric prosthetic hands, yet most clinical systems remain open loop. Osseoperception, the transmission of vibrotactile and auditory sensations through bone-conducted mechanical stimulation, has emerged as a promising approach for delivering artificial sensory feedback. In this study, osseoperceptive electromyography (EMG) feedback is used to convey the user's myoelectric signal through bone conduction, enabling predictive regulation of grasp force. A single bone transducer placed on the elbow provides three encoding schemes-vibrotactile, auditory, and combined vibrotactile-auditory-evaluated during a functional force-matching task inspired by the Box and Block test. Thirteen non-disabled participants and one transradial amputee performed grasp-and-transfer trials across five discrete force levels, with and without feedback. The main outcome measure was the success rate in producing the correct target force. In non-disabled participants, auditory-only encoding significantly improved force-control accuracy compared to no feedback (71% vs. 50%), whereas vibrotactile-only and combined encoding showed positive but non-significant trends (both 60%). The amputee participant achieved the best performance with vibrotactile encoding. These findings demonstrate the feasibility of osseoperceptive EMG feedback for predictive grasp-force regulation using a single lightweight actuator and support its potential as a non-invasive strategy for closed-loop prosthetic control.

Indexed as

artificial sensory feedbackclosed‐loop controlgrasp force regulationmyoelectric prosthesesosseoperception

Identifiers

PMID42704042
PMCPMC13548726

What OpenQuestion holds

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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.