Evidence map›Paper›PMID 35760828›Full record

ArticleScientific reports2022

In vivo closed-loop control of a locust's leg using nerve stimulation.

Francisco Zurita, Fulvia Del Duca, Tetsuhiko Teshima, Lukas Hiendlmeier, Michael Gebhardt, Harald Luksch, Bernhard Wolfrum

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 37% 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.

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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Francisco ZuritaNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, Technical University of Munich, 85748, Garching bei München, Germany.
Fulvia Del DucaNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, Technical University of Munich, 85748, Garching bei München, Germany.
Tetsuhiko TeshimaNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, Technical University of Munich, 85748, Garching bei München, Germany.
Lukas HiendlmeierNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, Technical University of Munich, 85748, Garching bei München, Germany.
Michael GebhardtChair of Zoology, Technical University of Munich, 85354, Weihenstephan, Germany.
Harald LukschChair of Zoology, Technical University of Munich, 85354, Weihenstephan, Germany.
Bernhard WolfrumNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, Technical University of Munich, 85748, Garching bei München, Germany. bernhard.wolfrum@tum.de.
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activity of an innervated tissue can be modulated based on an acquired biomarker through feedback loops. How to convert this biomarker into a meaningful stimulation pattern is still a topic of intensive research. In this article, we present a simple closed-loop mechanism to control the mean angle of a locust's leg in real time by modulating the frequency of the stimulation on its extensor motor nerve. The nerve is interfaced with a custom-designed cuff electrode and the feedback loop is implemented online with a proportional control algorithm, which runs solely on a microcontroller without the need of an external computer. The results show that the system can be controlled with a single-input, single-output feedback loop. The model described in this article can serve as a primer for young researchers to learn about neural control in biological systems before applying these concepts in advanced systems. We expect that the approach can be advanced to achieve control over more complex movements by increasing the number of recorded biomarkers and selective stimulation units.

Indexed as

GrasshoppersNeuronsAlgorithmsAnimalsElectric StimulationFeedback

Identifiers

PMID35760828
PMCPMC9237135
OpenAlexW4283699976

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.