Evidence map›Paper›PMID 34400808›Full record

ArticleNature biomedical engineering2023

A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback.

Guoying Gu, Ningbin Zhang, Haipeng Xu, Shaoting Lin, Yang Yu, Guohong Chai, Lisen Ge, Houle Yang, Qiwen Shao, Xinjun Sheng and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
22.9field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 398 citations in OpenAlex.

  1. Architected Load Paths Enable Stiffening and Motion Programming in Soft Pneumatic Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. A detachable crawling robotic hand.Nature communications · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Millimeter-scale fluid-driven soft robots.National science review · 2025
    Article
  15. Article
  16. GaN/PDMS-based opto-electro-mechanical tactile sensors.Microsystems & nanoengineering · 2025
    Article
  17. Performance-Recoverable Closed-Loop Neuroprosthetic System.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  18. Review
  19. Article
  20. Bionic Multimodal Augmented Somatosensory Receptor Enabled by Thermogalvanic Hydrogel.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

27 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 2 countries.

Guoying Gu *Robotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. guguoying@sjtu.edu.cn.ORCID 0000-0002-7778-4523
Ningbin Zhang *Robotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Haipeng XuRobotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shaoting LinDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Yang YuRobotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0001-5582-4558
Guohong ChaiRobotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-5756-6887
Lisen GeRobotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Houle YangRobotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Qiwen ShaoRobotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Xinjun ShengRobotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Xiangyang Zhu *Robotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. mexyzhu@sjtu.edu.cn.ORCID 0000-0003-4914-6636
Xuanhe Zhao *Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. zhaox@mit.edu.ORCID 0000-0001-5387-6186
Shanghai Jiao Tong University · CNMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroprosthetic hands are typically heavy (over 400 g) and expensive (more than US$10,000), and lack the compliance and tactile feedback of human hands. Here, we report the design, fabrication and performance of a soft, low-cost and lightweight (292 g) neuroprosthetic hand that provides simultaneous myoelectric control and tactile feedback. The neuroprosthesis has six active degrees of freedom under pneumatic actuation, can be controlled through the input from four electromyography sensors that measure surface signals from residual forearm muscles, and integrates five elastomeric capacitive sensors on the fingertips to measure touch pressure so as to enable tactile feedback by eliciting electrical stimulation on the skin of the residual limb. In a set of standardized tests performed by two individuals with transradial amputations, we show that the soft neuroprosthetic hand outperforms a conventional rigid neuroprosthetic hand in speed and dexterity. We also show that one individual with a transradial amputation wearing the soft neuroprosthetic hand can regain primitive touch sensation and real-time closed-loop control.

Indexed as

Artificial LimbsTouchFeedbackFeedback, SensoryHandHumans

Identifiers

PMID34400808
OpenAlexW3194786616

What OpenQuestion holds

Textmetadata
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.