Evidence map›Paper›PMID 36575089›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2022

[Follow control of upper limb rehabilitation training based on Kinect and NAO robot].

Xiaoguang Liu, Simin Li, Tie Liang, Jun Li, Cunguang Lou, Hongrui Wang, Xiuling Liu

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2022. 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. 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.

Xiaoguang LiuCollege of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R. China.
Simin LiCollege of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R. China.
Tie LiangCollege of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R. China.
Jun LiCollege of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R. China.
Cunguang LouCollege of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R. China.
Hongrui WangCollege of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R. China.
Xiuling LiuCollege of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gesture imitation is a common rehabilitation strategy in limb rehabilitation training. In traditional rehabilitation training, patients need to complete training actions under the guidance of rehabilitation physicians. However, due to the limited resources of the hospital, it cannot meet the training and guidance needs of all patients. In this paper, we proposed a following control method based on Kinect and NAO robot for the gesture imitation task in rehabilitation training. The method realized the joint angles mapping from Kinect coordination to NAO robot coordination through inverse kinematics algorithm. Aiming at the deflection angle estimation problem of the elbow joint, a virtual space plane was constructed and realized the accurate estimation of deflection angle. Finally, a comparative experiment for deflection angle of the elbow joint angle was conducted. The experimental results showed that the root mean square error of the angle estimation value of this method in right elbow transverse deflection and vertical deflection directions was 2.734° and 2.159°, respectively. It demonstrates that the method can follow the human movement in real time and stably using the NAO robot to show the rehabilitation training program for patients.

Indexed as

Physical Therapy ModalitiesRoboticsBiomechanical PhenomenaElbow JointHumansUpper ExtremityFollow controlInverse kinematicsKinectMedian filterNAO

Identifiers

PMID36575089
PMCPMC9927177

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.