Evidence map›Paper›PMID 41104101›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Mechanism design and human-machine coupling analysis for a lumbar rehabilitation robot.

Yuan Tian, Fengping Chen, Zixu Zhao, Dawei Jiang, Wenjing Ji, Jiasheng Dai

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Yuan TianElectromechanical College, Changchun Polytechnic University, Changchun, China.
Fengping ChenMedical Electrical Testing Laboratory, Jilin Provincial Medical Device Inspection and Research Institute, Changchun, China.
Zixu ZhaoCollege of Artificial Intelligence, Changchun University of Finance and Economics, Changchun, China.
Dawei JiangInstitute of Technology, Changchun University of Technology, Changchun, China.
Wenjing JiCollege of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun, China.
Jiasheng DaiCollege of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Superman Exercise is highly recommended by healthcare professionals for patients with low back pain. However, performing this treatment can be challenging due to patients' difficulty in maintaining the training maneuvers and the lack of standardization in these maneuvers. Methods and procedures: A low back rehabilitation robot, designed based on swallow movement rehabilitation training, was fully modeled for patients with low back motor dysfunction. The robot underwent kinematic analysis, including forward and inverse solutions, as well as kinetic analysis to verify its accuracy. By studying human waist mobility and muscle force, a human-machine coupling model was developed to determine the range of human waist joint angles and muscle force size. This was achieved by importing three-dimensional motion capture data into the OpenSim human motion analysis environment and comparing it with the human body's natural lumbar rehabilitation movements. Additionally, comparisons were made with the human body during lumbar rehabilitation training maneuvers. Conclusion: The rehabilitation robot is well-designed to meet patients' rehabilitation training needs and uncover the rehabilitation patterns of the human waist. This study serves as a reference for future parameter optimization and control system design.

Indexed as

human kinematicsinverse kinematics and staticslumbar rehabilitationlumbar rehabilitation robotsuperman exercise

Identifiers

PMID41104101
PMCPMC12521187

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.