An Efficient Multi-Channel Electrotactile Parameter Configuration Method for Personalized Teleoperation.

Kaicheng Zhang, Kairu Li, Peiyao Wang, Yixuan Sheng

Abstract read

In one paragraph

Article in Biomimetics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kaicheng ZhangSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China.

Kairu LiSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China.ORCID 0000-0001-5646-7492

Peiyao WangSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China.ORCID 0009-0001-1789-0586

Yixuan ShengState Key Laboratory of Robotics and System, Harbin Institute of Technology Shenzhen, Shenzhen 150001, China.ORCID 0000-0003-1022-7690

Funding

Educational Department of Liaoning Province LJ222410142058LiaoNing Revitalization Talents Program XLYC2203104National Natural Science Foundation of China 62003222Shenyang Special Training Program for Young Scientific and Technological Innovation Talents RC231033

6 · The paper itself

Abstract

Electrotactile feedback is a compact approach for providing tactile cues in robotic teleoperation, but personalized calibration remains time-consuming because tactile perception varies across users. To address this problem, this study develops a subject-informed multi-layer finite element model of fingertip electric-field distribution coupled with a neural-response model and proposes a simulation-derived configuration-ranking method termed the Perceived Correctness Score (

Indexed as

electrotactile devicesfinite element analysishuman–robot interactionteleoperation

Identifiers

PMID42187377

DOI10.3390/biomimetics11050310

PMCPMC13205002

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.