Evidence map›Paper›PMID 36158114›Full record

ArticleJournal of intelligent & robotic systems2022

Research on Robotic Humanoid Venipuncture Method Based on Biomechanical Model.

Tianbao He, Chuangqiang Guo, Hansong Liu, Li Jiang

Abstract read
In one paragraph

Article in Journal of intelligent & robotic systems, 2022. 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
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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

4 authors.

Tianbao HeState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001 China.
Chuangqiang GuoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001 China.
Hansong LiuState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001 China.
Li JiangState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001 China.ORCID 0000-0003-1740-5525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automatic venipuncture robots are expected to replace manual venipuncture methods owing to their high control precision, steady operation, and measurable perception. However, the lack of perception of the venipuncture status in the human body leads to an increased risk and failure rate, which further restricts the development of such robots. To address this, we propose a humanoid venipuncture method guided by a biomechanical model to imitate human sensations and feedback. This method intends to perceive the venipuncture status and improve the performance of the venipuncture robot. First, this study establishes a biomechanical venipuncture model, which thoroughly considers the elastic deformation, cutting, and friction of tissues and can be applied to different venipuncture conditions. Then, venipuncture simulations and in vitro phantom experiments are performed under various settings to analyze and validate the model. Finally, to evaluate the robotic humanoid venipuncture method, we apply the method to a self-developed six-degree-of-freedom venipuncture robot via rabbit ear veins with a success rate of approximately 90%. This work demonstrates that the humanoid venipuncture method based on the biomechanical model is practical and rapid in processing simple information in venipuncture robots.

Indexed as

Biomechanical modelForce feedbackStatus perceptionVenipuncture robot

Identifiers

PMID36158114
PMCPMC9483373

What OpenQuestion holds

Textmetadata
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.