Evidence map›Paper›PMID 33076576›Full record

ArticleSensors (Basel, Switzerland)2020

Tripping Avoidance Lower Extremity Exoskeleton Based on Virtual Potential Field for Elderly People.

Zongwei Zhang, Changle Li, Tianjiao Zheng, Hongwu Li, Sikai Zhao, Jie Zhao, Yanhe Zhu

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Zongwei ZhangState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-5636-8742
Changle LiState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.
Tianjiao ZhengState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.
Hongwu LiState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.
Sikai ZhaoState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.
Jie ZhaoState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.
Yanhe ZhuState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.

Funding

Joint Research Fund between the National Nature Science Foundation of China (NSFC) and Shen Zhen U1713201 & U1613219National Key R&D Program of China 2018YFB1305400 & 2017YFB1302301
6 · The paper itself

Abstract

Tripping is a common problem that everyone faces when walking. This paper mainly focuses on a lower limb exoskeleton that can help those weak in joints to avoid tripping when negotiating stairs or stepping over obstacles. This method does not need a camera or map reconstruction to recognize the obstacles and plan paths. The exoskeleton applies an impedance controller to follow and control the pilot's movements. A virtual potential field is proposed to help the robot regulate the pilot's motion and avoid kicking the obstacles appearing in front of the pilot's foot during walking. Simulation and experiments show that this method works effectively and could help the elderly and those affected by joint weakness avoid tripping when walking.

Indexed as

Exoskeleton DeviceWalkingAgedBiomechanical PhenomenaFootHumansLower ExtremityMovementexoskeletonimpedance controllertripping avoidancevirtual potential field

Identifiers

PMID33076576
PMCPMC7602790

What OpenQuestion holds

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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.