Evidence map›Paper›PMID 40594939›Full record

ArticleScientific reports2025

Development of an electrical current stimulator for controlling biohybrid machines.

Riccardo Collu, Judith Fuentes, Florencia Lezcano, Maria Crespo-Cuadraro, Andrea Bartolucci, Leonardo Ricotti, Lorenzo Vannozzi, Samuel Sánchez, Stefano Lai, Massimo Barbaro

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  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

10 authors.

Riccardo ColluDepartment of Electrical and Electronic Engineering, University of Cagliari, 090123, Cagliari, Italy. riccardo.collu@unica.it.
Judith FuentesInstitute for Bioengineering (IBEC), Barcellona, Spain.
Florencia LezcanoInstitute for Bioengineering (IBEC), Barcellona, Spain.
Maria Crespo-CuadraroInstitute for Bioengineering (IBEC), Barcellona, Spain.
Andrea BartolucciThe BioRobotics Institute, Scuola Superiore Sant'Anna, 56127, Pisa, Italy.
Leonardo RicottiThe BioRobotics Institute, Scuola Superiore Sant'Anna, 56127, Pisa, Italy.
Lorenzo VannozziThe BioRobotics Institute, Scuola Superiore Sant'Anna, 56127, Pisa, Italy.
Samuel SánchezInstitute for Bioengineering (IBEC), Barcellona, Spain.
Stefano LaiDepartment of Electrical and Electronic Engineering, University of Cagliari, 090123, Cagliari, Italy.
Massimo BarbaroDepartment of Electrical and Electronic Engineering, University of Cagliari, 090123, Cagliari, Italy.

Funding

European Commission,European Union 101070328Generalitat de Catalunya CEX2018-000789-S
6 · The paper itself

Abstract

Soft and flexible robotics is an emerging field that attracts a huge interest due to its ability to produce bioinspired devices that are easily adaptable to the environment. Biohybrid Machines (BHM) represent a category of soft robots that integrate biological tissues, such as engineered muscle tissues, as actuating systems. Although these devices present several advantages in some applications, their proper actuation still represents a challenge for researchers. This paper focuses on the development of a portable and programmable electrical stimulator designed to control muscle fiber-based biohybrid actuators. The stimulator, made using off-the-shelf components, was designed as a stacking of three independent printed circuit boards (PCBs), connected vertically in order to result in a final device with compact dimensions of 59 mm

Indexed as

Electric StimulationRoboticsAnimalsElectricityEquipment DesignHumansMuscle ContractionBiohybrid machinesElectrical current stimulatorSoft robotics

Identifiers

PMID40594939
PMCPMC12214737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.