Evidence map›Paper›PMID 40968796›Full record

ArticleSensors (Basel, Switzerland)2025

A Wearable Open-Source Neuroprosthesis/Neuro-Orthosis for Restoring Hand Function.

Rune Thorsen, Maurizio Ferrarin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Advancing human sensorimotor research through modular robotics: the case of the HRX-1.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  2. Article
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

2 authors.

Rune ThorsenIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro 66, 20148 Milano, Italy.ORCID 0000-0003-1990-8839
Maurizio FerrarinIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro 66, 20148 Milano, Italy.ORCID 0000-0002-7797-2399

Funding

Ministero della Salute Ricerca CorrentePromobilia Foundation 16066
6 · The paper itself

Abstract

This paper presents a wearable, open-source system that combines electromyography (EMG) and functional electrical stimulation (FES) to restore hand function in individuals with disabilities caused by cervical spinal cord injuries or stroke. The device captures electrical signals produced during volitional muscle contractions and analyzes them to interpret the user's intent to move. This information is then used to stimulate impaired muscles, promoting improved hand function and rehabilitation. We detail the design, prototyping, and testing of the system, emphasizing its modularity, affordability, and accessibility. Hardware and software, along with 3D-printable components, are shared via GitHub to enable replication and customization by professionals and makers. The system serves as both an orthotic device for enhancing grasping ability and a therapeutic tool for rehabilitating hemiparetic hands, with potential for broader applications. By addressing cost, customization, and accessibility barriers, this initiative promotes collaboration and further innovation in rehabilitation technologies, advancing the development of affordable, user-centered solutions for individuals with disabilities.

Indexed as

HandNeural ProsthesesOrthotic DevicesWearable Electronic DevicesElectric StimulationElectric Stimulation TherapyElectromyographyHumansSpinal Cord InjuriesStrokeassistive technologymyoelectrically controlled functional electrical stimulationneuroprosthesisopen-source hardwarespinal cord injurystroke rehabilitation

Identifiers

PMID40968796
PMCPMC12157229

What OpenQuestion holds

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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.