Evidence map›Paper›PMID 35746290›Full record

ArticleSensors (Basel, Switzerland)2022

Classification of Plank Techniques Using Wearable Sensors.

Zong-Rong Chen, Wei-Chi Tsai, Shih-Feng Huang, Tzu-Yi Li, Chen-Yi Song

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

5 authors.

Zong-Rong ChenDepartment of Athletic Performance, National University of Kaohsiung, Kaohsiung 811, Taiwan.
Wei-Chi TsaiDepartment of Education and Sport Sciences, College of Sports and Recreation, National Taiwan Normal University, Taipei 106, Taiwan.
Shih-Feng HuangDepartment of Applied Mathematics, National University of Kaohsiung, Kaohsiung 811, Taiwan.
Tzu-Yi LiInstitute of Statistics, National University of Kaohsiung, Kaohsiung 811, Taiwan.
Chen-Yi SongDepartment of Long-Term Care, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan.ORCID 0000-0001-9962-0506

Funding

Zuoying Branch of Kaohsiung Armed Forces General Hospital KAFGH-ZY-A-110023
6 · The paper itself

Abstract

The plank is a common core-stability exercise. Developing a wearable inertial sensor system for distinguishing between acceptable and aberrant plank techniques and detecting specific deviations from acceptable plank techniques can enhance performance and prevent injury. The purpose of this study was to develop an inertial measurement unit (IMU)-based plank technique quantification system. Nineteen healthy volunteers (age: 20.5 ± 0.8 years, BMI: 22.9 ± 1.4 kg/m

Indexed as

MovementWearable Electronic DevicesAdultBiomechanical PhenomenaExerciseHumansYoung Adultathletecoachingcore trainingkinematicsmotion analysissports performance

Identifiers

PMID35746290
PMCPMC9228676

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.