Evidence map›Paper›PMID 32816166›Full record

ArticleAnnals of biomedical engineering2021

Neuromorphic Model of Reflex for Realtime Human-Like Compliant Control of Prosthetic Hand.

Chuanxin M Niu, Qi Luo, Chih-Hong Chou, Jiayue Liu, Manzhao Hao, Ning Lan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Enhancing Force Control of Prosthetic Controller for Hand Prosthesis by Mimicking Biological Properties.IEEE journal of translational engineering in health and medicine · 2024
    Article
  6. Article
  7. Article
  8. MixedBiological cybernetics · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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

6 authors.

Chuanxin M Niu *Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Hua Shan Road, Med-X Research Institute, Rm 405 (South), Shanghai, China.
Qi Luo *Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Hua Shan Road, Med-X Research Institute, Rm 405 (South), Shanghai, China.
Chih-Hong ChouLaboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Hua Shan Road, Med-X Research Institute, Rm 405 (South), Shanghai, China.
Jiayue LiuLaboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Hua Shan Road, Med-X Research Institute, Rm 405 (South), Shanghai, China.
Manzhao HaoLaboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Hua Shan Road, Med-X Research Institute, Rm 405 (South), Shanghai, China.
Ning LanLaboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Hua Shan Road, Med-X Research Institute, Rm 405 (South), Shanghai, China. ninglan@sjtu.edu.cn.

Funding

Natural Science Foundation of China 81630050the National Key R&D Program of China by the Ministry of Science and Technology of China No.2017YFA0701103
6 · The paper itself

Abstract

Current control of prosthetic hands is ineffective when grasping deformable, irregular, or heavy objects. In humans, grasping is achieved under spinal reflexive control of the musculotendon skeletal structure, which produces a hand stiffness commensurate with the task. We hypothesize that mimicking reflex on a prosthetic hand may improve grasping performance and safety when interacting with human. Here, we present a design of compliant controller for prosthetic hand with a neuromorphic model of human reflex. The model includes 6 motoneuron pools containing 768 spiking neurons, 1 muscle spindle with 128 spiking afferents, and 1 modified Hill-type muscle. Models are implemented using neuromorphic hardware with 1 kHz real-time computing. Experimental tests showed that the prosthetic hand could sustain a 40 N load compared to 95 N for an adult. Stiffness range was adjustable from 60 to 640 N/m, about 46.6% of that of human hand. The grasping velocity could be ramped up to 14.4 cm/s, or 24% of the human peak velocity. The complaint control could switch between free movement and contact force when pressing a deformable beam. The amputee can achieve a 47% information throughput of healthy humans. Overall, the reflex-enabled prosthetic hand demonstrated the attributes of human compliant grasping with the neuromorphic model of spinal neuromuscular reflex.

Indexed as

Models, BiologicalProstheses and ImplantsReflexAdultAmputeesBiomimeticsElectromyographyHandHand StrengthHumansMaleMiddle AgedMovementMuscle, SkeletalNeuronsBiomimetic controlElectromyography (EMG)Neuromorphic modelingNeuromuscular reflexProsthetic hand

Identifiers

PMID32816166
PMCPMC7851042

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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.