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Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke.
Latorre, Jorge; Colomer, Carolina; Alcañiz, Mariano; Llorens, Roberto.
Afiliación
  • Latorre J; Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain.
  • Colomer C; NEURORHB, Servicio de Neurorrehabilitación de Hospitales Vithas, Río Tajo 1, 46011, Valencia, Spain.
  • Alcañiz M; NEURORHB, Servicio de Neurorrehabilitación de Hospitales Vithas, Río Tajo 1, 46011, Valencia, Spain.
  • Llorens R; Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain.
J Neuroeng Rehabil ; 16(1): 97, 2019 07 26.
Article en En | MEDLINE | ID: mdl-31349868
BACKGROUND: Gait is usually assessed by clinical tests, which may have poor accuracy and be biased, or instrumented systems, which potentially solve these limitations at the cost of being time-consuming and expensive. The different versions of the Microsoft Kinect have enabled human motion tracking without using wearable sensors at a low-cost and with acceptable reliability. This study aims: First, to determine the sensitivity of an open-access Kinect v2-based gait analysis system to motor disability and aging; Second, to determine its concurrent validity with standardized clinical tests in individuals with stroke; Third, to quantify its inter and intra-rater reliability, standard error of measurement, minimal detectable change; And, finally, to investigate its ability to identify fall risk after stroke. METHODS: The most widely used spatiotemporal and kinematic gait parameters of 82 individuals post-stroke and 355 healthy subjects were estimated with the Kinect v2-based system. In addition, participants with stroke were assessed with the Dynamic Gait Index, the 1-min Walking Test, and the 10-m Walking Test. RESULTS: The system successfully characterized the performance of both groups. Significant concurrent validity with correlations of variable strength was detected between all clinical tests and gait measures. Excellent inter and intra-rater reliability was evidenced for almost all measures. Minimal detectable change was variable, with poorer results for kinematic parameters. Almost all gait parameters proved to identify fall risk. CONCLUSIONS: Results suggest that although its limited sensitivity to kinematic parameters, the Kinect v2-based gait analysis could be used as a low-cost alternative to laboratory-grade systems to complement gait assessment in clinical settings.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Trastornos Neurológicos de la Marcha / Análisis de la Marcha Tipo de estudio: Diagnostic_studies / Etiology_studies / Health_technology_assessment / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Neuroeng Rehabil Asunto de la revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Año: 2019 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Trastornos Neurológicos de la Marcha / Análisis de la Marcha Tipo de estudio: Diagnostic_studies / Etiology_studies / Health_technology_assessment / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Neuroeng Rehabil Asunto de la revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Año: 2019 Tipo del documento: Article País de afiliación: España
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