Evidence map›Paper›PMID 33302462›Full record

ArticleSensors (Basel, Switzerland)2020

Safety Evaluation and Experimental Study of a New Bionic Muscle Cable-Driven Lower Limb Rehabilitation Robot.

Yan Lin Wang, Ke Yi Wang, Kui Cheng Wang, Zong Jun Mo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

4 authors at 1 institution in 1 country.

Yan Lin WangCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China.ORCID 0000-0002-2975-0361
Ke Yi WangCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China.
Kui Cheng WangCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China.ORCID 0000-0001-8273-0071
Zong Jun MoCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China.ORCID 0000-0002-5279-2455
Harbin Engineering University · CN

Funding

Fundamental Research Funds for Central Universities of the Harbin Engineering University 3072020CF0706National Natural Science Foundation of China 51405095Natural Science Foundation of Heilongjiang Province, China LH2019E032
6 · The paper itself

Abstract

Safety is a significant evaluation index of rehabilitation medical devices and a significant precondition for practical application. However, the safety evaluation of cable-driven rehabilitation robots has not been reported, so this work aims to study the safety evaluation methods and evaluation index of cable-driven rehabilitation robots. A bionic muscle cable (BM cable) is proposed to construct a bionic muscle cable-driven lower limb rehabilitation robot (BM-CDLR). The working principle of the BM-CDLR is introduced. The safety performance factors are defined based on the mechanical analysis of the BM-CDLR. The structural safety evaluation index and the use safety evaluation index of the BM-CDLR are given by comprehensively considering the safety performance factors and a proposed speed influence function. The effect of the structural parameters of the elastic elements in the BM cable on the safety performance factors and safety of the BM-CDLR is analyzed and verified by numerical simulations and experimental studies. The results provide the basis for further study of the compliance control strategy and experiments of the human-machine interaction of the BM-CDLR.

Indexed as

BionicsLower ExtremityRoboticsBiomechanical PhenomenaHumansMusclesbionic muscle cableevaluation indexlower limb rehabilitation robotsafetysafety performance factor

Identifiers

PMID33302462
PMCPMC7764671
OpenAlexW3112887513

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.