| Title |
Studying upper-limb kinematics using inertial sensors: a cross-sectional study
|
|---|---|
| Published in |
BMC Research Notes, October 2015
|
| DOI | 10.1186/s13104-015-1517-x |
| Pubmed ID | |
| Authors |
Cristina Roldán-Jiménez, Antonio I. Cuesta-Vargas |
| Abstract |
In recent years, there has been a great interest in analyzing upper-limb kinematics in order to investigate scapulohumeral rhythm, as its alteration has been associated with shoulder joint complex injuries. The use of inertial sensors is presented as a convenient and portable analysis method for studying kinematics in terms of angular mobility and linear acceleration. The aim of this study was to analyze upper-limbs kinematics in the three anatomical axes, obtained by inertial sensors. Descriptive graphics of analytical tasks performed were obtained. The main difference in mobility between the scapula and humerus was found in pitch axis for abduction ([Formula: see text] = 107.6°, SD = 9.3°) and flexion ([Formula: see text] = 113.1°, SD = 9.3°). The use of inertial sensors for human kinematics analysis is favorable. Although this study identified movement patterns, and supports inertial sensors as a useful device to analyze upper-limb kinematics, further studies with subjects with shoulder pathology to establish differences in movement patterns and scapulohumeral rhythm between healthy and pathological shoulders should be carried out. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Master | 3 | 13% |
| Lecturer | 2 | 8% |
| Professor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 17% |
| Medicine and Dentistry | 4 | 17% |
| Engineering | 2 | 8% |
| Sports and Recreations | 2 | 8% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2015.
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#15,348,067
of 22,829,683 outputs
Outputs from BMC Research Notes
#2,314
of 4,263 outputs
Outputs of similar age
#161,529
of 275,910 outputs
Outputs of similar age from BMC Research Notes
#100
of 188 outputs
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