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Validación de dispositivos RGBD para medir terapéuticamente el equilibrio: el test de alcance funcional con Microsoft Kinect

  • Ines Ayed [1] ; Biel Moyà-Alcove [2] ; Pau Martínez-Bueso [2] ; Javier Varona [2] ; Adel Ghazel [1] ; Antoni Jaume-i-Capó [2]
    1. [1] University of Carthage

      University of Carthage

      Túnez

    2. [2] Universitat de les Illes Balears

      Universitat de les Illes Balears

      Palma de Mallorca, España

  • Localización: Revista iberoamericana de automática e informática industrial ( RIAI ), ISSN-e 1697-7920, Vol. 14, Nº. 1, 2017, págs. 115-120
  • Idioma: español
  • DOI: 10.1016/j.riai.2016.07.007
  • Títulos paralelos:
    • Validation of RGBD devices for balance clinical measurement: the functional reach test with Microsoft Kinect
  • Enlaces
  • Resumen
    • español

      Los dispositivos de captura RGBD han demostrado ser un enfoque tecnológico realista para la prevención terapéutica de caídas. Estos dispositivos RGBD facilitan la captura del movimiento humano y son conocidos gracias a su bajo coste. Por esta razón, su uso se ha generalizado y han sido validados en diferentes aplicaciones interactivas para la rehabilitación motora del equilibrio. En este tipo de rehabilitación es muy importante tener información sobre la evolución terapéutica del paciente. Además, en los casos en que el paciente realiza el tratamiento de rehabilitación en el domicilio y cada cierto tiempo recibe una visita del fisioterapeuta, si éste pudiese utilizar el dispositivo RGBD para valorar el equilibrio con un test estándar le simplificaría mucho el trabajo al no tener que desplazar ningún instrumento de medida. En este trabajo se demuestra que el dispositivo Microsoft Kinect es fiable y adecuado para calcular el test estándar de alcance funcional (FRT), uno de los más utilizados para medir terapéuticamente el equilibrio. Para ello, se ha realizado un experimento donde se ha comparado el cálculo del FRT de forma manual y utilizando un dispositivo RGBD sobre 14 usuarios sanos. Los resultados muestran una diferencia absoluta media de 2.84cm (±2.62) y la aplicación de un test t-student pareado sobre los datos indica que no hay diferencias estadísticamente significativas.

    • English

      RGBD capture devices have been proven as an ICT realistic approach for clinical prevention of falls. RGBD devices facilitate the capture of human movement and are known because of its low cost. According to that, its use is widespread and has been validated in different interactive applications for balance rehabilitation. In this type of rehabilitation, it is very important to have information on clinical patient outcomes. Moreover, it would be helpful to use RGBD devices in case the patient performs the rehabilitation treatment at home because the specialist could use the RGBD devices to assess the balance. This paper demonstrates that the Microsoft Kinect device is reliable and adequate to calculate the standard functional reach test (FRT), one of the most widely used balance clinical measurement. To do so, an experiment was performed on 14 healthy users to compare the FRT calculation manually and using a RGBD device. The results show an average absolute difference of 2.84cm (± 2.62), and there are no statistically significant differences applying a paired t-student test for the data.

  • Referencias bibliográficas
    • Bonnechere, B., Jansen, B., Salvia, P., Bouzahouene, H., Omelina, L., Moiseev, F., ... & Jan, S. V. S., 2014. Validity and reliability...
    • Botsis T, Demiris G, Pedersen S, Hartvigsen G, 2008. Home telecare technologies for the elderly. J Telemed Telecare. SAGE Publications;14(7):333–7.
    • Clark, R. A., Pua, Y. H., Fortin, K., Ritchie, C., Webster, K. E., Denehy, L., & Bryant, A. L., 2012. Validity of the Microsoft Kinect...
    • Clark, R. A., Pua, Y. H., Bryant, A. L., & Hunt, M. A., 2013. Validity of the Microsoft Kinect for providing lateral trunk lean feedback...
    • Cogollor, J. M., Hughes, C., Ferre, M., Rojo, J., Hermsdörfer, J., Wing, A., & Campo, S., 2012. Handmade task tracking applied to cognitive...
    • Duncan, P. W., Weiner, D. K., Chandler, J., Studenski, S., 1990. Functional reach: a new clinical measure of balance. Journal of gerontology,...
    • Durfee, W. K., Savard, L., & Weinstein, S., 2007. Technical feasibility of teleassessments for rehabilitation. Neural Systems and Rehabilitation...
    • Edirippulige S, Wootton R, 2006. Telehealth and communication: Using the Internet in Healthcare. Heal Informatics Transform Healthc with Technol...
    • Elavsky S, McAuley E, Motl RW, Konopack JF, Marquez DX, Hu L, et al., 2005. Physical activity enhances long-term quality of life in older...
    • Forducey PG, Ruwe WD, Dawson SJ, Scheideman-Miller C, McDonald NB, Hantla MR. Using telerehabilitation to promote TBI recovery and transfer...
    • Galen, S. S., Pardo, V., Wyatt, D., Diamond, A., Brodith, V., & Pavlov, A. (2015). Validity of an Interactive Functional Reach Test. Games...
    • Gama, A. D., Chaves, T., Figueiredo, L., & Teichrieb, V., 2012. Guidance and movement correction based on therapeutics movements for motor...
    • Hailey D, Roine R, Ohinmaa A, Dennett L., 2010. Evidence on the effectiveness of telerehabilitation applications. Institute of Health Economics.
    • Hailey D, Roine R, Ohinmaa A, Dennett L, 2011. Evidence of benefit from telerehabilitation in routine care: a systematic review. J Telemed...
    • Huijgen, B. C., Vollenbroek-Hutten, M. M., Zampolini, M., Opisso, E., Bernabeu, M., Van Nieuwenhoven, J., ... & Marchese, S. S. (2008)....
    • Jaume-i-Capó, A., Martinez-Bueso, P., Moya-Alcover, B., Varona, J., 2014. Interactive rehabilitation system for improvement of balance therapies...
    • Keays, S. L., Bullock-Saxton, J. E., Newcombe, P., & Bullock, M. I., 2006. The effectiveness of a pre-operative home-based physiotherapy...
    • Lange, B., Koenig, S., McConnell, E., Chang, C. Y., Juang, R., Suma, E., Rizzo, A., 2012. Interactive game-based rehabilitation using the...
    • Lourido, B. P., & Gelabert, S. V., 2008. La perspectiva comunitaria en la fisioterapia domiciliaria: una revisión. Fisioterapia, 30(5),...
    • Lovallo C, Rolandi S, Rossetti AM, Lusignani M, 2010. Accidental falls in hospital inpatients: evaluation of sensitivity and specificity of...
    • McCue M, Fairman A, Pramuka M., 2010. Enhancing quality of life through telerehabilitation. Phys Med Rehabil Clin N Am.; 21(1):195–205.
    • Mehta, S. P., & Roy, J. S., 2011. Systematic review of home physiotherapy after hip fracture surgery. Journal of rehabilitation medicine,...
    • Metz D., 2000. Mobility of older people and their quality of life. Transp Policy. ;7(2):149–52.
    • Pineau G, Moqadem K, St-Hilaire C, Perreault R, Levac E, Hamel B, et al., 2006. Telehealth: clinical guidelines and technological standards...
    • Riolo, L. 2004. Attention contributes to functional reach test scores in older adults with history of falling. Physical & Occupational...
    • Rubenstein LZ, Josephson KR, 2006. Falls and their prevention in elderly people: what does the evidence show? Med Clin North Am. Elsevier;90(5):807–24.
    • Russell, T. G., Wootton, R., & Jull, G. A. (2002). Physical outcome measurements via the Internet: reliability at two Internet speeds....
    • Russell, T. G., Buttrum, P., Wootton, R., & Jull, G. A. (2011). Internet-based outpatient telerehabilitation for patients following total...
    • Savard L, Borstad A, Tkachuck J, Lauderdale D, Conroy B. Telerehabilitation consultations for clients with neurologic diagnoses: cases from...
    • Varona, J., Jaume-i-Capó, A., Gonzàlez, J., & Perales, F. J. (2009). Toward natural interaction through visual recognition of body gestures...

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