Evidence map›Paper›PMID 34683200›Full record

ArticleMicromachines2021

A Time Division Multiplexing Inspired Lightweight Soft Exoskeleton for Hip and Ankle Joint Assistance.

Xin Ye, Chunjie Chen, Yanguo Shi, Lingxing Chen, Zhuo Wang, Zhewen Zhang, Yida Liu, Xinyu Wu

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review on Portable-Powered Lower Limb Exoskeletons.Sensors (Basel, Switzerland) · 2024
    Review
  4. Article
  5. Review
  6. 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

8 authors at 2 institutions in 1 country.

Xin YeShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Chunjie ChenShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0003-4855-9914
Yanguo ShiParallel Robot and Mechatronic System Laboratory of Hebei Province, Yanshan University, Qinhuangdao 066004, China.
Lingxing ChenShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0001-8011-8399
Zhuo WangShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0002-1709-7764
Zhewen ZhangShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0002-5203-2229
Yida LiuShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Xinyu WuShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Chinese Academy of Sciences · CNYanshan University · CN

Funding

Guangdong Basic and Applied Basic Research Foundation under grant 2019A1515110576International Science $\&$ Technology Cooperation Program of China 2018YFE0125600Jinan Science and Technology Projects 2019GXRC048Natural Science Foundation of China 62003327Natural Science Foundation of China under Grant U1913207Natural Science Foundation of Guangdong Province, China 2021A1515011699Shenzhen Technology Research Project under Grant JSGG20180507182901552the Natural Science Foundation of Guangdong Province 2019A1515010782the NSFC-Shenzhen Robotics Research Center Project U2013207the Shenzhen Technology Research Project under Grant JCYJ20180302145539583
6 · The paper itself

Abstract

Exoskeleton robots are frequently applied to augment or assist the user's natural motion. Generally, each assisted joint corresponds to at least one specific motor to ensure the independence of movement between joints. This means that as there are more joints to be assisted, more motors are required, resulting in increasing robot weight, decreasing motor utilization, and weakening exoskeleton robot assistance efficiency. To solve this problem, the design and control of a lightweight soft exoskeleton that assists hip-plantar flexion of both legs in different phases during a gait cycle with only one motor is presented in this paper. Inspired by time-division multiplexing and the symmetry of walking motion, an actuation scheme that uses different time-periods of the same motor to transfer different forces to different joints is formulated. An automatic winding device is designed to dynamically change the loading path of the assistive force at different phases of the gait cycle. The system is designed to assist hip flexion and plantar flexion of both legs with only one motor, since there is no overlap between the hip flexion movement and the toe-offs movement of the separate legs during walking. The weight of the whole system is only 2.24 kg. PD iterative control is accomplished by an algorithm that utilizes IMUs attached on the thigh recognizing the maximum hip extension angle to characterize toe-offs indirectly, and two load cells to monitor the cable tension. In the study of six subjects, muscle fatigue of the rectus femoris, vastus lateralis, gastrocnemius and soleus decreased by an average of 14.69%, 6.66%, 17.71%, and 8.15%, respectively, compared to scenarios without an exoskeleton.

Indexed as

gait event detectioniterative controllower limb assistancesoft exoskeletontime-division multiplexing

Identifiers

PMID34683200
PMCPMC8538614
OpenAlexW3204792287

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.