2026-05-27T04:43:10Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/378622026-02-03T10:54:09Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Galán-Mercant, Alejandro
author
Barón-López, Francisco Javier
author
Labajos-Manzanares, María Teresa
author
Cuesta-Vargas, Antonio
2025-02-14T08:24:03Z
2025-02-14T08:24:03Z
2014-12-02
Galán-Mercant A, Barón-López FJ, Labajos-Manzanares MT, Cuesta-Vargas AI. Reliability and criterion-related validity with a smartphone used in timed-up-and-go test. Biomed Eng Online. 2014 Dec 2;13:156. doi: 10.1186/1475-925X-13-156. PMID: 25440533; PMCID: PMC4265430.
https://hdl.handle.net/10630/37862
10.1186/1475-925X-13-156
Background: The capacity to diagnosys, quantify and evaluate movement beyond the general confines of a clinical environment under effectiveness conditions may alleviate rampant strain on limited, expensive and highly specialized medical resources. An iPhone 4® mounted a three dimensional accelerometer subsystem with highly robust software applications. The present study aimed to evaluate the reliability and concurrent criterion-related validity of the accelerations with an iPhone 4® in an Extended Timed Get Up and Go test. Extended Timed Get Up and Go is a clinical test with that the patient get up from the chair and walking ten meters, turn and coming back to the chair.
Methods: A repeated measure, cross-sectional, analytical study. Test-retest reliability of the kinematic measurements of the iPhone 4® compared with a standard validated laboratory device. We calculated the Coefficient of Multiple Correlation between the two sensors acceleration signal of each subject, in each sub-stage, in each of the three Extended Timed Get Up and Go test trials. To investigate statistical agreement between the two sensors we used the Bland-Altman method.
Results: With respect to the analysis of the correlation data in the present work, the Coefficient of Multiple Correlation of the five subjects in their triplicated trials were as follows: in sub-phase Sit to Stand the ranged between r = 0.991 to 0.842; in Gait Go, r = 0.967 to 0.852; in Turn, 0.979 to 0.798; in Gait Come, 0.964 to 0.887; and in Turn to Stand to Sit, 0.992 to 0.877. All the correlations between the sensors were significant (p < 0.001). The Bland-Altman plots obtained showed a solid tendency to stay at close to zero, especially on the y and x-axes, during the five phases of the Extended Timed Get Up and Go test.
Conclusions: The inertial sensor mounted in the iPhone 4® is sufficiently reliable and accurate to evaluate and identify the kinematic patterns in an Extended Timed Get and Go test.
eng
Informática médica
Smartphones
Reliability and criterion-related validity with a smartphone used in timed-up-and-go test
journal article
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2014 Reliability and criterion-related validity with a smartphone used in timed-up-and-go test.pdf