Evidence map›Paper›PMID 41155086›Full record

ArticleBioengineering (Basel, Switzerland)2025

Adequate Segmentation in Marker-Based Motion Capture Studies for Hyperflexion and Hyperextension Lumbar Exercises.

Claudia F Romero-Flores, Rogelio Bustamante-Bello, Marcos Moya Bencomo, Iñaki Zenteno Aguirrezabal

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Claudia F Romero-FloresTecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey 64700, Nuevo Leon, Mexico.ORCID 0000-0002-5411-739X
Rogelio Bustamante-BelloTecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey 64700, Nuevo Leon, Mexico.ORCID 0000-0001-9270-0052
Marcos Moya BencomoTecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey 64700, Nuevo Leon, Mexico.ORCID 0000-0001-8333-6359
Iñaki Zenteno AguirrezabalInstituto de Ortopedia y Traumatología, Hospital Zambrano Hellion, TecSalud, San Pedro Garza García 66260, Nuevo Leon, Mexico.ORCID 0009-0009-2725-5576

Funding

Consejo Nacional de Humanidades, Ciencia y Tecnologia CVU 646992Tecnológico de Monterrey A01094310
6 · The paper itself

Abstract

The recent literature has debated the appropriate level of complexity for spine kinematic models. Multi-segmental analyses have been suggested to be more suitable for activities such as walking and running; however, studies focusing on sport-specific movements remain limited. This study compared four spine segmentation strategies for analyzing exercises simulating flexion and extension in acrobatic elements. Seventeen competitive university-level cheerleaders (male and female) participated in a motion capture study. Each athlete performed six exercises in the same order. Reflective markers were placed on the spinous processes of C7, T10, L1, L2, L3, L4, L5, and S1. From these, four models were constructed: (1) L1 and L5, (2) T10 and S1, (3) L1, L3, and L5, and (4) all lumbar vertebrae. Each model was fitted in the sagittal plane using a polynomial function and compared with the others via Pearson correlation. Model 3 (L1, L3, and L5) and Model 4 (all lumbar vertebrae) showed strong correlations across all trials, with Pearson coefficients approaching 1. These findings support the use of a two-segment representation of the lumbar spine (Model 3: L1-L3 and L3-L5) as a suitable approach for kinematic analysis of flexion-extension in acrobatic athletes.

Indexed as

biomechanical characterizationbiomechanicslumbar vertebrae

Identifiers

PMID41155086
PMCPMC12562070

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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.