Mostrar el registro sencillo del ítem
dc.contributor.author | Ayed, Inés | es_ES |
dc.contributor.author | Moyà Alcover, Biel | es_ES |
dc.contributor.author | Martínez Bueso, Pau | es_ES |
dc.contributor.author | Varona, Javier | es_ES |
dc.contributor.author | Ghazel, Adel | es_ES |
dc.contributor.author | Jaume i Capó, Antoni | es_ES |
dc.date.accessioned | 2020-05-15T12:35:13Z | |
dc.date.available | 2020-05-15T12:35:13Z | |
dc.date.issued | 2017-01-05 | |
dc.identifier.issn | 1697-7912 | |
dc.identifier.uri | http://hdl.handle.net/10251/143399 | |
dc.description.abstract | [EN] 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 2.84 cm (± 2.62), and there are no statistically significant differences applying a paired t-student test for the data. | es_ES |
dc.description.abstract | [ES] 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 2.84 cm (±2.62) y la aplicación de un test t-student pareado sobre los datos indica que no hay diferencias estadísticamente significativas. | es_ES |
dc.description.sponsorship | This work was partially funded by European commission under Alyssa Program (ERASMUS-MUNDUS action 2 lot 6), by the Project TIN2012-35427 of the Spanish Government, with FEDER support. | es_ES |
dc.language | Español | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.ispartof | Revista Iberoamericana de Automática e Informática industrial | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Computer Vision | es_ES |
dc.subject | Microsoft Kinect | es_ES |
dc.subject | RGBD | es_ES |
dc.subject | Clinical evaluation | es_ES |
dc.subject | Balance | es_ES |
dc.subject | Motor Rehabilitation | es_ES |
dc.subject | Visión Artificial | es_ES |
dc.subject | Evaluación Terapéutica | es_ES |
dc.subject | Equilibrio | es_ES |
dc.subject | Rehabilitación Motora | es_ES |
dc.title | Validación de dispositivos RGBD para medir terapéuticamente el equilibrio: el test de alcance funcional con Microsoft Kinect | es_ES |
dc.title.alternative | Validation of RGBD devices for balance clinical measurement: the functional reach test with Microsoft Kinect | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.riai.2016.07.007 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2012-35427/ES/EXPERIENCIAS DE DISEÑO Y DESARROLLO DE INTERFACES NATURALES EN INDUSTRIA, EDUCACION Y REHABILITACION/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Ayed, I.; Moyà Alcover, B.; Martínez Bueso, P.; Varona, J.; Ghazel, A.; Jaume I Capó, A. (2017). Validación de dispositivos RGBD para medir terapéuticamente el equilibrio: el test de alcance funcional con Microsoft Kinect. Revista Iberoamericana de Automática e Informática industrial. 14(1):115-120. https://doi.org/10.1016/j.riai.2016.07.007 | es_ES |
dc.description.accrualMethod | OJS | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.riai.2016.07.007 | es_ES |
dc.description.upvformatpinicio | 115 | es_ES |
dc.description.upvformatpfin | 120 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 14 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 1697-7920 | |
dc.relation.pasarela | OJS\9247 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.description.references | Bonnechere, B., Jansen, B., Salvia, P., Bouzahouene, H., Omelina, L., Moiseev, F., ... & Jan, S. V. S., 2014. Validity and reliability of the Kinect within functional assessment activities: comparison with standard stereophotogrammetry. Gait & posture, 39(1), 593-598. | es_ES |
dc.description.references | Botsis T, Demiris G, Pedersen S, Hartvigsen G, 2008. Home telecare technologies for the elderly. J Telemed Telecare. SAGE Publications;14(7):333-7. | es_ES |
dc.description.references | Clark, R. A., Pua, Y. H., Fortin, K., Ritchie, C., Webster, K. E., Denehy, L., & Bryant, A. L., 2012. Validity of the Microsoft Kinect for assessment of postural control. Gait & posture, 36(3), 372-377. | es_ES |
dc.description.references | Clark, R. A., Pua, Y. H., Bryant, A. L., & Hunt, M. A., 2013. Validity of the Microsoft Kinect for providing lateral trunk lean feedback during gait retraining. Gait & posture, 38(4), 1064-1066. | es_ES |
dc.description.references | Cogollor, J. M., Hughes, C., Ferre, M., Rojo, J., Hermsdörfer, J., Wing, A., & Campo, S., 2012. Handmade task tracking applied to cognitive rehabilitation. Sensors, 12(10), 14214-14231. | es_ES |
dc.description.references | Duncan, P. W., Weiner, D. K., Chandler, J., Studenski, S., 1990. Functional reach: a new clinical measure of balance. Journal of gerontology, 45(6), M192-M197. | es_ES |
dc.description.references | Durfee, W. K., Savard, L., & Weinstein, S., 2007. Technical feasibility of teleassessments for rehabilitation. Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 15(1), 23-29. | es_ES |
dc.description.references | Edirippulige S, Wootton R, 2006. Telehealth and communication: Using the Internet in Healthcare. Heal Informatics Transform Healthc with Technol Sydney Thomson. | es_ES |
dc.description.references | 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 adults: Efficacy, esteem, and affective influences. Ann Behav Med.; 30(2):138- 45. | es_ES |
dc.description.references | Forducey PG, Ruwe WD, Dawson SJ, Scheideman-Miller C, McDonald NB, Hantla MR. Using telerehabilitation to promote TBI recovery and transfer of knowledge. NeuroRehabilitation. 2002;18(2):103-11. | es_ES |
dc.description.references | Galen, S. S., Pardo, V., Wyatt, D., Diamond, A., Brodith, V., & Pavlov, A. (2015). Validity of an Interactive Functional Reach Test. Games for health journal, 4(4), 278-284. | es_ES |
dc.description.references | Gama, A. D., Chaves, T., Figueiredo, L., & Teichrieb, V., 2012. Guidance and movement correction based on therapeutics movements for motor rehabilitation support systems. In Virtual and Augmented Reality (SVR), 2012 14th Symposium on (pp. 191-200). IEEE. | es_ES |
dc.description.references | Hailey D, Roine R, Ohinmaa A, Dennett L., 2010. Evidence on the effectiveness of telerehabilitation applications. Institute of Health Economics. | es_ES |
dc.description.references | Hailey D, Roine R, Ohinmaa A, Dennett L, 2011. Evidence of benefit from telerehabilitation in routine care: a systematic review. J Telemed Telecare. | es_ES |
dc.description.references | Huijgen, B. C., Vollenbroek-Hutten, M. M., Zampolini, M., Opisso, E., Bernabeu, M., Van Nieuwenhoven, J., ... & Marchese, S. S. (2008). Feasibility of a home-based telerehabilitation system compared to usual care: arm/hand function in patients with stroke, traumatic brain injury and multiple sclerosis. Journal of Telemedicine and Telecare, 14(5), 249-256. | es_ES |
dc.description.references | Jaume-i-Capó, A., Martinez-Bueso, P., Moya-Alcover, B., Varona, J., 2014. Interactive rehabilitation system for improvement of balance therapies in people with cerebral palsy. Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 22(2), 419-427 | es_ES |
dc.description.references | Keays, S. L., Bullock-Saxton, J. E., Newcombe, P., & Bullock, M. I., 2006. The effectiveness of a pre-operative home-based physiotherapy programme for chronic anterior cruciate ligament deficiency. Physiotherapy Research International, 11(4), 204-218. | es_ES |
dc.description.references | Lange, B., Koenig, S., McConnell, E., Chang, C. Y., Juang, R., Suma, E., Rizzo, A., 2012. Interactive game-based rehabilitation using the Microsoft Kinect. In Virtual Reality Short Papers and Posters (VRW), 2012 IEEE (pp. 171-172). IEEE. | es_ES |
dc.description.references | Lourido, B. P., & Gelabert, S. V., 2008. La perspectiva comunitaria en la fisioterapia domiciliaria: una revisión. Fisioterapia, 30(5), 231-237. | es_ES |
dc.description.references | Lovallo C, Rolandi S, Rossetti AM, Lusignani M, 2010. Accidental falls in hospital inpatients: evaluation of sensitivity and specificity of two risk assessment tools. J Adv Nurs. Wiley Online Library;66(3):690-6. | es_ES |
dc.description.references | McCue M, Fairman A, Pramuka M., 2010. Enhancing quality of life through telerehabilitation. Phys Med Rehabil Clin N Am.; 21(1):195-205. | es_ES |
dc.description.references | Mehta, S. P., & Roy, J. S., 2011. Systematic review of home physiotherapy after hip fracture surgery. Journal of rehabilitation medicine, 43(6), 477- 480. | es_ES |
dc.description.references | Metz D., 2000. Mobility of older people and their quality of life. Transp Policy. ;7(2):149-52. | es_ES |
dc.description.references | Pineau G, Moqadem K, St-Hilaire C, Perreault R, Levac E, Hamel B, et al., 2006. Telehealth: clinical guidelines and technological standards for telerehabilitation. Montreal: Agence d'Evaluation des Technologies et des Modes d'Intervention en Sante (AETMIS). | es_ES |
dc.description.references | Riolo, L. 2004. Attention contributes to functional reach test scores in older adults with history of falling. Physical & Occupational Therapy in Geriatrics, 22(2), 15-28. | es_ES |
dc.description.references | 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. | es_ES |
dc.description.references | Russell, T. G., Wootton, R., & Jull, G. A. (2002). Physical outcome measurements via the Internet: reliability at two Internet speeds. Journal of telemedicine and telecare, 8(suppl 3), 50-52. | es_ES |
dc.description.references | Russell, T. G., Buttrum, P., Wootton, R., & Jull, G. A. (2011). Internet-based outpatient telerehabilitation for patients following total knee arthroplasty. J Bone Joint Surg Am, 93(2), 113-120. | es_ES |
dc.description.references | Savard L, Borstad A, Tkachuck J, Lauderdale D, Conroy B. Telerehabilitation consultations for clients with neurologic diagnoses: cases from rural Minnesota and American Samoa. NeuroRehabilitation. 2002;18(2):93- 102. | es_ES |
dc.description.references | Varona, J., Jaume-i-Capó, A., Gonzàlez, J., & Perales, F. J. (2009). Toward natural interaction through visual recognition of body gestures in real-time. Interacting with computers, 21(1-2), 3-10. | es_ES |