Automated calibration of somatosensory stimulation using reinforcement learning.

Journal Information

Full Title: J Neuroeng Rehabil

Abbreviation: J Neuroeng Rehabil

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Physical and Rehabilitation Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
6/6
100.0% Transparent
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Core Indicators
Evidence found in paper:

"availability of data and materials matlab r codes and data showing the interaction with the rl platform and its step-wise evolution are available at the following directory: https://github com/noemi-gozzi/rl-somatosensory-calibration git ( https://doi org/10 5281/zenodo 7648810 ). availability of data and materials matlab r codes and data showing the interaction with the rl platform and its step-wise evolution are available at the following directory: https://github com/noemi-gozzi/rl-somatosensory-calibration git ( https://doi org/10 5281/zenodo 7648810 )."

Evidence found in paper:

"availability of data and materials matlab r codes and data showing the interaction with the rl platform and its step-wise evolution are available at the following directory: https://github com/noemi-gozzi/rl-somatosensory-calibration git ( https://doi org/10 5281/zenodo 7648810 )."

Evidence found in paper:

"Declarations Ethics approval and consent to participateThe experiments were approved by the ETH Zurich’s ethics commission (EK 2019-N-97, Approved: 27/11/2019). The trial was registered with ClinicalTrial.gov (NCT04217005, First Posted: 03/01/2020). The experiments were performed in accordance with the proposal approved by the ETH Zurich’s ethics commission and in accordance with the Declaration of Helsinki. All subjects read and signed the informed consent including the use of identifiable images in an online open-access publication. Consent for publicationInformed consent for publication of identifying information/images was signed. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

Evidence found in paper:

"Funding Open access funding provided by Swiss Federal Institute of Technology Zurich This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (FeelAgain grant agreement No. 759998), Swiss National Science Foundation (SNSF) (MOVEIT 197271) and Innosuisse ICT program (n. 47462.1 IP-ICT). The funders had no role in the experimental design, analysis, or manuscript preparation or submission."

Evidence found in paper:

"Trial registration : ClinicalTrial.gov (Identifier: NCT04217005)"

Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

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Last Updated: Aug 05, 2025