Evidence map›Paper›PMID 38486916›Full record

ReviewWearable technologies2022

Current developments of robotic hip exoskeleton toward sensing, decision, and actuation: A review.

Canjun Yang, Linfan Yu, Linghui Xu, Zehao Yan, Dongming Hu, Sheng Zhang, Wei Yang

Open access · goldAbstract readReview
In one paragraph

Review in Wearable technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Exoskeletons: Contribution to Occupational Health and Safety.Bioengineering (Basel, Switzerland) · 2023
    Review
  7. 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 at 2 institutions in 1 country.

Canjun YangNingbo Research Institute, Zhejiang University, Ningbo, China.
Linfan YuNingbo Research Institute, Zhejiang University, Ningbo, China.ORCID https://orcid.org/0000-0002-9460-4600
Linghui XuNingbo Research Institute, Zhejiang University, Ningbo, China.
Zehao YanNingbo Research Institute, Zhejiang University, Ningbo, China.
Dongming HuSchool of Mechanical and Energy Engineering, NingboTech University, Ningbo, China.
Sheng ZhangNingbo Research Institute, Zhejiang University, Ningbo, China.
Wei YangNingbo Research Institute, Zhejiang University, Ningbo, China.ORCID https://orcid.org/0000-0002-8177-1071
Ningbo University · CNNingbo University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aging population is now a global challenge, and impaired walking ability is a common feature in the elderly. In addition, some occupations such as military and relief workers require extra physical help to perform tasks efficiently. Robotic hip exoskeletons can support ambulatory functions in the elderly and augment human performance in healthy people during normal walking and loaded walking by providing assistive torque. In this review, the current development of robotic hip exoskeletons is presented. In addition, the framework of actuation joints and the high-level control strategy (including the sensors and data collection, the way to recognize gait phase, the algorithms to generate the assist torque) are described. The exoskeleton prototypes proposed by researchers in recent years are organized to benefit the related fields realizing the limitations of the available robotic hip exoskeletons, therefore, this work tends to be an influential factor with a better understanding of the development and state-of-the-art technology.

Indexed as

actuation jointsassist torque generationgait phase estimationrobotic hip exoskeleton

Identifiers

PMID38486916
PMCPMC10936331
OpenAlexW4285613364

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.