Evidence map›Paper›PMID 35480083›Full record

ArticleContrast media & molecular imaging2022

Analysis of Bioelectrical Impedance Spectrum for Elbow Stiffness Based on Hilbert-Huang Transform.

Guodong Gao, Ping Zhang, Bin Xu, Xiaogang Zhang, QuanZeng Yang, Rong Wang, ShuHuan Han, Zhen Quan

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Contrast media & molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Guodong GaoDepartment of Spinal Surgery, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, Gansu 730000, China.
Ping ZhangCollege of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu 730050, China.ORCID 0000-0002-1633-5302
Bin XuDepartment of Spinal Surgery, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, Gansu 730000, China.
Xiaogang ZhangDepartment of Spinal Surgery, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, Gansu 730000, China.
QuanZeng YangDepartment of Spinal Surgery, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, Gansu 730000, China.
Rong WangDepartment of Spinal Surgery, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, Gansu 730000, China.
ShuHuan HanCollege of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu 730050, China.
Zhen QuanDepartment of Spinal Surgery, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, Gansu 730000, China.
Gansu University of Traditional Chinese Medicine · CNLanzhou University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of posttraumatic elbow rehabilitation, prevention of elbow stiffness has become a key part of the development of sports medicine. In order to clarify the time point of joint movement after internal fixation to the elbow and to provide a mechanical model for individualized diagnosis. This paper uses electromagnetic wave detection technology to quickly detect the bioelectrical impedance signal of the patient's lesion location, then passes the message to the upper control system for processing, summarizes the improved Hilbert-Huang transform to deep learning, and deep learning algorithms and computer technology are used to mine the bioelectrical impedance signal of the elbow joint. The simulation and human experiment results show that bioelectrical impedance signals can clarify the pathogenesis of elbow joint stiffness and the relationship between rehabilitation treatment time and duration. It has the advantages of low cost, high fitting accuracy, strong robustness, and noninvasiveness.

Indexed as

ElbowElbow JointComputer SimulationElectric ImpedanceHumansMovement

Identifiers

PMID35480083
PMCPMC9012657
OpenAlexW4226165258

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.