Abstract
Nowadays, the progressive aging of the population in developed countries is becoming a problem for health systems, which must invest more and more money to care their citizens. One of the most important issues are those derived of the physical and cognitive problems associated to the elderly. In order to reduce the effect of these problems, therapists have to design therapies that should be adapted to each person. To assist therapists in this design process, we have created a new system that allows them to create and manage specific therapies in a collaborative and efficiency way. In addition, the elderly can use this system to carry out their treatment at home thanks to the developed intelligent system that can control the effectiveness of their treatment.
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References
Costa, A., Castillo, J.C., Novais, P., Fernández-Caballero, A., Simoes, R.: Sensor-driven agenda for intelligent home care of the elderly. Situations 39(15), 12192–12204 (2012)
European Commission Information Society and Media, ICT for Health and i2010: Transforming the European healthcare landscape towards a strategy for ICT for Health, Luxembourg, 10, ISBN 92-894-7060-7 (2006)
Harrington, T.L., Harrington, M.K.: Gerontechnology: Why and How. Shaker Publishing BV (2000)
Schónauer, C., Pintaric, T., Kaufmann, H., Jansen-Kosterink, S., Vollenbroek-Hutten, M.: Chronic pain rehabilitation with a serious game using multimodal input. In: International Conference on Virtual Rehabilitation, pp. 1–8 (2011)
Chang, Y., Chen, S., Huang, J.: A Kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities. Research in Developmental Disabilities 32(6), 2566–2570 (2011)
Oliver, M., Molina, J.P., Montero, F., González, P., Fernández-Caballero, A.: Wireless multisensory interaction in an intelligent rehabilitation environment. In: Ramos, C., Novais, P., Nihan, C.E., Corchado Rodríguez, J.M. (eds.) Advances in Intelligent Systems and Computing. AISC, vol. 291, pp. 193–200. Springer, Heidelberg (2014)
Brennan, D., Tindall, L., Theodoros, D., Brown, J., Campbell, M., Christiana, D., Smith, D., Cason, J., Lee, A.: A blueprint for telerehabilitation guidelines. International Journal of telerehabilitation 2, 31–34 (2010)
Brennan, D.M., Mawson, S., Brownsell, S.: Telerehabilitation: enabling the remote delivery of healthcare, rehabilitation, and self-management. Stud. Health. Technol. Inform. 145, 231–248 (2009)
Vaughn, G.R.: Tel-communicology: health-care delivery system for persons with communicative disorders. ASHA 18(1), 13–17 (1976)
Brennan, D., Georgeadis, A., Baron, C., Barker, L.: The effect of videoconference-based telerehab on story retelling performance by brain injured subjects and its implications for remote speech-language therapy. Telemedicine Journal and e-Health 10(2), 147–154 (2004)
Parmanto, B., Saptono, A.: Telerehabilitation: state-of-the-art from an informatics perspective. International Journal of Telerehabilitation 1(1), 73–84 (2009)
Winters, J.M.: Telerehabilitation research: Emerging opportunities. Annual Review of Biomedical Engineering 4, 287–320 (2002)
Chang, C., Lange, B., Zhang, M., Koenig, S., Requejo, P., Somboon, N., Sawchuk, A., Rizzo, A.: Towards pervasive physical rehabilitation using Microsoft Kinect. In: 6th International Conference on Pervasive Computing Technologies for Healthcare, pp. 1–4 (2012)
Chang, Y.J., Chen, S.F., Huang, J.D.: A Kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities. Research in developmental disabilities 32(6), 2566–2570 (2011)
Davaasambuu, E., Chiang, C., Chiang, J., Chen, Y., Bilgee, S.: A Microsoft Kinect based virtual rehabilitation system. In: 5th International Conference on Frontiersof Information Technology, Applications and Tools, pp. 44–50 (2012)
Da Gama, A., Chaves, T., Figueiredo, L., Teichrieb, V.: Improving motor rehabilitation process through a natural interaction based system using Kinect sensor. In: 2012 IEEE Symposium on 3D User Interfaces, pp. 145–146 (2012)
Pirovano, M., Mainetti, R., Baud-Bovy, G., Lanzi, P., Borghese, N.: Self-adaptive games for rehabilitation at home. In: IEEE Conference on Computational Intelligence and Games, pp. 179–186 (2012)
Rubio, G., Navarro, E., Montero, F.: APADYT: a multimedia application for SEN learners. Multimed. Tools Appl. 71, 1771–1802 (2014)
Montero, F., López-Jaquero, V., Navarro, E., Sánchez, E.: Computer-aided relearning activity patterns for people with acquired brain injury. Comput. Educ. 57, 1149–1159 (2011)
Best-Martini, E., Jones-DiGenova, K.: Exercise for Frail Elders. Human Kinetics (2014) ISBN: 9781450416092
Microsoft PixelSense. Welcome to Microsoft PixelSense (2012), http://www.microsoft.com/en-us/pixelsense/default.aspx
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Rodríguez, A.C., Roda, C., Montero, F., González, P., Navarro, E. (2014). A Collaborative System for Designing Tele-Therapies. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_54
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DOI: https://doi.org/10.1007/978-3-319-13105-4_54
Publisher Name: Springer, Cham
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