Abstract
Parkinson’s disease (PD) is a neurodegenerative and progressive disorder of the central nervous system that affects mainly the motor system. As a consequence of the disease, PD patients suffer a progressive reduction of their independence and Quality of Life (QoL). Literature research shows that the use of auditory, visual and haptic cueing could significantly benefit the motor performance of PD patients. Likewise, music therapy (MT) has shown notable benefits for PD either in the motor and non-motor dimensions. This work is aimed at designing a mHealth system to deliver a home based rehabilitation programme for PD patients based on external cueing and MT called HOOP, integrated by a set of inertial sensors, an Android application, and a web tool for professionals. This designing process has been performed according to expert’s consultation in order to develop a tool that can cover both patients and professional necessities.
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Lindgren, P., von Campenhausen, S., Spottke, E.A., Siebert, U., Dodel, R.: Cost of Parkinson’s disease in Europe. Eur. J. Neurol. 12(s1), 68–73 (2005)
Peto, V., Jenkinson, C., Fitzpatrick, R., Greenhall, R.: The development and validation of a short measure of functioning and well being for individuals with Parkinson’s disease. Qual. Life Res. 4(3), 241–248 (1995)
Schrag, A., Selai, C., Jahanshahi, M., Quinn, N.P.: The EQ-5D-a generic quality of life measure-is a useful instrument to measure quality of life in patients with Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry 69(1), 67–73 (2000)
Diamond, A., Jankovic, J.: The effect of deep brain stimulation on quality of life in movement disorders. J. Neurol. Neurosurg. Psychiatry 76(9), 1188–1193 (2005)
de Dreu, M.J., van der Wilk, A.S.D., Poppe, E., Kwakkel, G., van Wegen, E.E.H.: Rehabilitation, exercise therapy and music in patients with Parkinson’s disease: a meta-analysis of the effects of music-based movement therapy on walking ability, balance and quality of life. Parkinsonism Relat. Disord. 18, S114–S119 (2012)
Patel, N., Jankovic, J., Hallett, M.: Sensory aspects of movement disorders. Lancet Neurol. 13(1), 100–112 (2014)
Paulson, S., Bharucha, J., Iyer, V., Limb, C., Tomaino, C.: Music and the mind: the magical power of sound. Ann. N. Y. Acad. Sci. 1303(1), 63–79 (2013)
Pogorelc, B., Bosnić, Z., Gams, M.: Automatic recognition of gait-related health problems in the elderly using machine learning. Multimedia Tools Appl. 58(2), 333–354 (2012)
Styns, F., van Noorden, L., Moelants, D., Leman, M.: Walking on music. Hum. Mov. Sci. 26(5), 769–785 (2007)
Wittwer, J.E., Webster, K.E., Hill, K.: Music and metronome cues produce different effects on gait spatiotemporal measures but not gait variability in healthy older adults. Gait Posture 37(2), 219–222 (2013)
Lopez, W.O.C., Higuera, C.A.E., Fonoff, E.T., de Oliveira Souza, C., Albicker, U., Martinez, J.A.E.: Listenmee® and Listenmee® smartphone application: synchronizing walking to rhythmic auditory cues to improve gait in Parkinson’s disease. Hum. Mov. Sci. 37, 147–156 (2014)
Sendra, S., Granell, E., Lloret, J., Rodrigues, J.J.P.C.: Smart collaborative mobile system for taking care of disabled and elderly people. Mob. Netw. Appl. 19(3), 287–302 (2014)
Lane, N.D., Lin, M., Mohammod, M., Yang, X., Lu, H., Cardone, G., Ali, S., Doryab, A., Berke, E., Campbell, A.T., Choudhury, T.: BeWell: sensing sleep, physical activities and social interactions to promote wellbeing. Mob. Netw. Appl. 19(3), 345–359 (2014)
Jordan, P.W.: Usability Evaluation in Industry. Taylor & Francis, Milton Park (1996)
Cancela, J., Moreno, E.M., Arredondo, M.T., Bonato, P.: Designing auditory cues for Parkinson’s disease gait rehabilitation. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5852–5855. IEEE, August 2014
Acknowledgement
Authors would like to thank mHealth tOol for parkinsOn’s disease training and rehabilitation at Patient’s home (HOOP) project, funded by EIT-Health consortium under Innovation by Ideas initiative, and to PD_manager project, funded within EU Framework Programme for Research and Innovation Horizon 2020.
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Martínez-Martí, F., Villanueva-Mascato, S., Belletoile, B., Cancela, J., Arredondo, M.T. (2018). mHealth Platform for the Delivery of Rehabilitation and Physical Exercise at Home for Parkinson’s Disease Patients. In: Guidi, B., Ricci, L., Calafate, C., Gaggi, O., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-319-76111-4_5
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DOI: https://doi.org/10.1007/978-3-319-76111-4_5
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