Evidence map›Paper›PMID 38975251›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2024

Locomotion Control of Cyborg Insects by Charge-Balanced Biphasic Electrical Stimulation.

Zhong Liu, Yongxia Gu, Li Yu, Xiang Yang, Zhiyun Ma, Jieliang Zhao, Yufei Gu

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Zhong LiuSchool of Computing and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
Yongxia GuSchool of Computing and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.ORCID https://orcid.org/0000-0001-7797-3888
Li YuSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Xiang YangSchool of Computing and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
Zhiyun MaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Jieliang ZhaoSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0001-6879-0537
Yufei GuNew York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of electronic stimulation devices with insects in the context of cyborg insect systems has great application potential, particularly in the fields of environmental monitoring, urban surveillance, and rescue missions. Despite considerable advantages compared to the current robot technology, including flexibility, durability, and low energy consumption, this integration faces certain challenges related to the potential risk of charge accumulation caused by prolonged and repetitive electrical stimulations. To address these challenges, this study proposes a universal system for remote signal output control using infrared signals. The proposed system integrates high-precision digital-to-analog converters capable of generating customized waveform electrical stimulation signals within defined ranges. This enhances the accuracy of locomotion control in cyborg insects while maintaining real-time control and dynamic parameter adjustment. The proposed system is verified by experiments. The experimental results show that the signals generated by the proposed system have a success rate of over 76.25% in controlling the turning locomotion of cyborg insects, which is higher than previously reported results. In addition, the charge-balanced characteristics of these signals can minimize muscle tissue damage, thus substantially enhancing control repeatability. This study provides a comprehensive solution for the remote control and monitoring of cyborg insects, whose flexibility and adaptability can meet various application and experimental requirements. The results presented in this study lay a robust foundation for further advancement of various technologies, particularly those related to cyborg insect locomotion control systems and wireless control mechanisms for cyborg insects.

Identifiers

PMID38975251
PMCPMC11223913

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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.