Evidence map›Paper›PMID 40261833›Full record

ReviewPLOS digital health2025

A worldwide research overview of Artificial Proprioception in prosthetics.

Octavio Diaz-Hernandez

Abstract readReview
In one paragraph

Review in PLOS digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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

1 author.

Octavio Diaz-HernandezEscuela Nacional de Estudios Superiores Unidad Juriquilla, Universidad Nacional Autónoma de México, Mexico City, México.ORCID https://orcid.org/0000-0001-6106-337X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proprioception is the body's ability to sense its position and movement, which is essential for motor control. Its loss after amputation poses significant challenges for prosthesis users. Artificial Proprioception enhances sensory feedback and motor control in prosthetic devices. This review provides a global overview of current research and technology in the field, emphasizing feedback mechanisms, neural interfaces, and biomechatronic integration. This work examines innovations in sensory feedback for amputees, including electrotactile and vibrotactile stimulation, artificial intelligence, and neural interfaces to enhance prosthetic control. The methodology involved reviewing studies from Scopus, Web of Science, and PubMed on prosthetic proprioceptive feedback from 2004 to 2024, evaluating sensory feedback research by author, country, and affiliation with a synthesis provided. Countries like the United States and Italy are collaborating to advance global research. The paper concludes with potential developments, such as advanced, user-centered prosthetics that meet amputees' sensory needs and significantly enhance their quality of life.

Identifiers

PMID40261833
PMCPMC12013951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.