Evidence map›Paper›PMID 39727755›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Biomimetic Strategies of Slip Sensing, Perception, and Protection in Prosthetic Hand Grasp.

Anran Xie, Zhuozhi Zhang, Jie Zhang, Tie Li, Weidong Chen, James Patton, Ning Lan

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. 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

7 authors.

Anran XieSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Zhuozhi ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Jie ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Tie Lii-Lab Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.
Weidong ChenDepartment of Automation, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-8757-0679
James PattonThe Richard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USA.
Ning LanSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.

Funding

National Key R&D Program of China No. 2017YFA0701104, No.2020YFC2007903National Natural Science Foundation of China No. 81630050Science and Technology Commission of Shanghai Municipality No. 20DZ2220400
6 · The paper itself

Abstract

This study develops biomimetic strategies for slip prevention in prosthetic hand grasps. The biomimetic system is driven by a novel slip sensor, followed by slip perception and preventive control. Here, we show that biologically inspired sensorimotor pathways can be restored between the prosthetic hand and users. A Ruffini endings-like slip sensor is used to detect shear forces and identify slip events directly. The slip information and grip force are encoded into a bi-state sensory coding that evokes vibration and buzz tactile sensations in subjects with transcutaneous electrical nerve stimulation (TENS). Subjects perceive slip events under various conditions based on the vibration sensation and voluntarily adjust grip force to prevent further slipping. Additionally, short-latency compensation for grip force is also implemented using a neuromorphic reflex pathway. The reflex loop includes a sensory neuron and interneurons to adjust the activations of antagonistic muscles reciprocally. The slip prevention system is tested in five able-bodied subjects and two transradial amputees with and without reflex compensation. A psychophysical test for perception reveals that the slip can be detected effectively, with a success accuracy of 96.57%. A slip protection test indicates that reflex compensation yields faster grasp adjustments than voluntary action, with a median response time of 0.30 (0.08) s, a rise time of 0.26 (0.03) s, an execution time of 0.56 (0.07) s, and a slip distance of 0.39 (0.10) cm. Prosthetic grip force is highly correlated to that of an intact hand, with a correlation coefficient of 96.85% (2.73%). These results demonstrate that it is feasible to reconstruct slip biomimetic sensorimotor pathways that provide grasp stability for prosthetic users.

Indexed as

biomimetic sensorimotor controlbi-state sensory feedbackprosthetic handslip preventionslip sensor

Identifiers

PMID39727755
PMCPMC11673174

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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.