Evidence map›Paper›PMID 40402958›Full record

ArticlePloS one2025

Postoperative human motion evaluation in orthopedics based on kinematic constraints and improved IMU-generated data processing algorithm.

Linzhi Xie, Zhengnan Li

Abstract read
In one paragraph

Article in PloS one, 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

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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

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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

2 authors.

Linzhi XieDepartment of Physical Education, Ganzhou Teachers College, Ganzhou, China.
Zhengnan LiDepartment of Sports Medicine, Ganzhou People's Hospital, Ganzhou, China.ORCID https://orcid.org/0009-0000-9013-8860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional methods for evaluating postoperative human motion in orthopedics suffer from high equipment costs, time-consuming detection processes, and can only provide static two-dimensional image information. To improve the efficiency and accuracy of postoperative human motion assessment in orthopedics, this study proposes an improved algorithm on the basis of kinematic constraints and inertial measurement units for postoperative human motion assessment in orthopedics. Compared with other methods, the average error and standard deviation of measuring human joint range of motion after orthopedic surgery based on inertial measurement units were the smallest. The average error and standard deviation of measuring human wrist joint range of motion were 1.23° and 1.63°, respectively. The efficiency and accuracy of measuring human joint range of motion after orthopedic surgery based on inertial measurement units were the highest. The efficiency and accuracy were 4s and 98%, respectively. The accuracy of calculating the human joint Angle after orthopedic surgery based on kinematic constraints is also better than other traditional algorithms. The method has high accuracy and applicability, which can effectively improve the monitoring efficiency of postoperative human motion assessment in orthopedics, reduce the error of postoperative human motion assessment in orthopedics, and effectively support personalized management and intervention, further providing reference for the optimization of postoperative human motion assessment in orthopedics.

Indexed as

AlgorithmsOrthopedic ProceduresOrthopedicsRange of Motion, ArticularWrist JointAdultBiomechanical PhenomenaFemaleHumansMalePostoperative Period

Identifiers

PMID40402958
PMCPMC12097607

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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.