Please use this identifier to cite or link to this item: http://hdl.handle.net/10668/3199
Title: Assessment of abduction motion in patients with rotator cuff tears: an analysis based on inertial sensors
Authors: Roldán-Jiménez, Cristina
Cuadros-Romero, Miguel
Bennett, Paul
McPhail, Steven
Kerr, Graham K.
Cuesta-Vargas, Antonio I.
Martin-Martin, Jaime
metadata.dc.contributor.authoraffiliation: [Roldán-Jiménez,C; Cuesta-Vargas,AI] Department of Psychiatry and Physiotherapy, University of Malaga, Faculty of Health Sciences, Arquitecto Francisco Peñalosa 3, Campus de Teatinos, 29071, Málaga, Spain. [Roldán-Jiménez,C; Cuesta-Vargas,AI; Martin-Martin,J] Clinimetric Group F-14 Biomedical Research Institute of Malaga, (IBIMA), Málaga, Spain. [Cuadros-Romero,M] Unit of Upper Limb Orthopedic Surgery of Hospital at University of Malaga, Málaga, Spain. [Bennett,P; McPhail,S; Kerr,GK; Cuesta-Vargas,AI] Institute of Health & Biomedical Innovation, Faculty of Health, Queensland University Technology, Brisbane, Australia. [McPhail,S] Centre for Functioning and Health Research, Metro South Health, Brisbane, Australia. [Martin-Martin,J] Department of Human Anatomy, Legal Medicine and History of Science. Legal Medicine Area, University of Malaga, Faculty of Medicine, Malaga, Spain.
Keywords: Kinetic;Upper extremity;Rotator cuff;Shoulder;Extremidad superior;Manguito de los rotadores;Hombro
metadata.dc.subject.mesh: Medical Subject Headings::Phenomena and Processes::Physical Phenomena::Mechanical Phenomena::Kinetics
Medical Subject Headings::Anatomy::Body Regions::Extremities::Upper Extremity
Medical Subject Headings::Anatomy::Musculoskeletal System::Muscles::Muscle, Skeletal::Rotator Cuff
Medical Subject Headings::Anatomy::Body Regions::Extremities::Upper Extremity::Shoulder
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies
Medical Subject Headings::Persons::Persons::Age Groups::Adult
Medical Subject Headings::Anatomy::Musculoskeletal System::Skeleton::Joints::Shoulder Joint
Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Models, Theoretical
Medical Subject Headings::Persons::Persons::Age Groups::Adult::Middle Aged
Medical Subject Headings::Check Tags::Male
Medical Subject Headings::Check Tags::Female
Issue Date: 12-Dec-2019
Publisher: BioMed Central Ltd.
Citation: Roldán-Jiménez C, Cuadros-Romero M, Bennett P, McPhail S, Kerr GK, Cuesta-Vargas AI, et al. Assessment of abduction motion in patients with rotator cuff tears: an analysis based on inertial sensors. BMC Musculoskelet Disord. 2019 Dec 12;20(1):597.
Abstract: Background: Reduced range of motion in the shoulder can be a source of functional limitation. The use of inertial sensors to quantify movement in addition to more common clinical assessments of the shoulder may allow clinicians to understand that they are potentially unnoticed by visual identification. The aim of this study was to generate an explanatory model for shoulder abduction based on data from inertial sensors. Method: A cross-sectional study was carried out to generate an explanatory model of shoulder abduction based on data from inertial sensors. Shoulder abduction of thirteen older adults suffering from shoulder dysfunction was recorded with two inertial sensors placed on the humerus and scapula. Movement variables (maximum angular mobility, angular peak of velocity, peak of acceleration) were used to explain the functionality of the upper limb assessed using the Upper Limb Functional Index (ULFI). The abduction movement of the shoulder was explained by six variables related to the mobility of the shoulder joint complex. A multivariate analysis of variance (MANOVA) was used to explain the results obtained on the functionality of the upper limb. Results: The MANOVA model based on angular mobility explained 69% of the variance of the ULFI value (r-squared = 0.69). The most relevant variables were the abduction-adduction of the humerus and the medial/lateral rotation of the scapula. Conclusions: The method used in the present study reveals the potential importance of the analysis of the scapular and humeral movements for comprehensive evaluation of the upper limb. Further research should include a wider sample and may seek to use this assessment technique in a range of potential clinical applications.
URI: http://hdl.handle.net/10668/3199
metadata.dc.relation.publisherversion: https://bmcmusculoskeletdisord.biomedcentral.com/articles/10.1186/s12891-019-2987-0
metadata.dc.identifier.doi: 10.1186/s12891-019-2987-0
ISSN: 1471-2474
Appears in Collections:01- Artículos - IBIMA. Instituto de Investigación Biomédica de Málaga

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