Evidence map›Paper›PMID 42774659›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2026

A Bioinspired Perceptual Sensor for Spatiotemporal Decoding of Haptic and Pain Stimuli in Prostheses.

Ye Qiu, Shihan Wang, Qiangqiang Qian, Yu Yan, Weisheng Wang, Xiu Jia, Shengwei Fan, Yuan Bao, Ye Tian, Yi Song and 4 more

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In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

14 authors.

Ye QiuCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.
Shihan WangCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.
Qiangqiang QianCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.
Yu YanCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.
Weisheng WangSchool of Physical Science and Technology, Ningbo University, Ningbo 315211, China.ORCID https://orcid.org/0009-0009-0079-0982
Xiu JiaCAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China.ORCID https://orcid.org/0009-0001-2685-5627
Shengwei FanSchool of Media and Communication, Shenzhen University, Shenzhen 518000, China.ORCID https://orcid.org/0009-0009-4421-9577
Yuan BaoCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.
Ye TianCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.
Yi SongCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.
Aiping LiuCenter for Optoelectronics Materials and Devices, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Liu WangCAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China.ORCID https://orcid.org/0000-0001-7014-9976
Liqiang ZhuSchool of Physical Science and Technology, Ningbo University, Ningbo 315211, China.
Huaping WuCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou 310023, China.ORCID https://orcid.org/0000-0003-4505-7062

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phantom limb pain, a common sequela in lower-limb amputees, impairs their ability to accurately perceive and distinguish between haptic and pain sensations, thereby hindering residual limb function and reducing rehabilitation efficacy. Although existing prosthetic technologies seek to restore sensory function, they often fail to provide real-time localization of haptic stimuli and effectively integrate pain feedback, resulting in an inability to deliver cohesive tactile and nociceptive cues. Here, we present a bioinspired perceptual sensor (BPS) capable of spatiotemporally decoding haptic and pain information by integrating artificial mechanoreceptors with synaptic transistors. High sensing performance and synaptic plasticity of the BPS enable the localization and intensity assessment of haptic stimuli, along with the spatiotemporal integration of pain feedback, facilitating the quantitative evaluation of synergistic haptic and pain perception. We first validated our BPS by integrating it into a humanoid robotic system and demonstrated its ability to distinguish and respond to environment-responsive conditioned and unconditioned reflexes in a closed-loop manner. Then, the sensing platform was incorporated into the prosthetic socket interface for amputees, and its capability to provide accurate, reliable haptic and pain feedback was confirmed, thereby offering crucial insights for optimizing prosthetic fit, limb health, and functional rehabilitation outcomes.

Identifiers

PMID42774659
PMCPMC13594425

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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.