Evidence map›Paper›PMID 37066930›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2023

Simulation study on assist-as-needed control of a rehabilitation robotic walker.

Wenbin Wang, Tao Gong, Zhendong Song, Zhifeng Wang, Jiancheng Ji

Open access · bronzeAbstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Functions and Sensors of Smart Walkers From 2015 to 2024: Scoping Review.JMIR rehabilitation and assistive technologies · 2026
    Review
  2. Article
  3. Article
  4. Multimodal fusion and human-robot interaction control of an intelligent robot.Frontiers in bioengineering and biotechnology · 2023
    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

5 authors at 2 institutions in 1 country.

Wenbin WangInstitute of Intelligent Manufacturing, Shenzhen Polytechnic, Shenzhen, Guangdong, China.
Tao GongInstitute of Intelligent Manufacturing, Shenzhen Polytechnic, Shenzhen, Guangdong, China.
Zhendong SongInstitute of Intelligent Manufacturing, Shenzhen Polytechnic, Shenzhen, Guangdong, China.
Zhifeng WangSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, Guangdong, China.
Jiancheng JiInstitute of Intelligent Manufacturing, Shenzhen Polytechnic, Shenzhen, Guangdong, China.
Shenzhen Polytechnic · CNFoshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlong with China entering an aging society, the percentage of people that over 60 will reach 34.9% in 2050, resulted in a significant increase in stroke patients.

objectiveThis paper proposes a rehabilitation robotic walker for walking assistance during the daily life, and a control method for the motor relearning during the gait training. The walker consists of an omni-directional mobile platform (OMP) which ensures the walker can move on the ground, a body weight support system (BWS) which is capable of providing the desired unloading force, and a pelvic assist mechanism (PAM) to provide the user with four degrees of freedom and avoid the rigid impact. The study goal is to gain a better understanding of the assist-as-needed control strategy during the gait training.

methodsFor the man-machine interaction control, the assist-as-needed control strategy is adopted to guide the users' motions and improve the interaction experience. To build the force field in the three-dimensional space, the dynamics of the system is derived to increase the accuracy of force control.

resultsThe simulation results show that the force field around the motion trajectory was generated in the three-dimensional space. In order to understand the force field, we designed the simulation on sagittal plane and the controller can generate the appropriate force field. The preliminary experiment results were consistent with the simulation results.

conclusionBased on the mathematical simulation and the preliminary test, the results demonstrate that the proposed system can provide the guide force around the target trajectory, the accuracy of force control still remains to be improved.

Indexed as

RoboticsRobotic Surgical ProceduresStroke RehabilitationGaitHumansWalkersWalkingassist-as-neededDynamicsforce controlrobotic walkerstroke

Identifiers

PMID37066930
PMCPMC10200137
OpenAlexW4365508914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.