Abstract
The incidence of dementia in developed countries has been incessantly growing. Apart from new medication and medical equipment, a lot of effort is placed on developing modern information technologies. This contribution aims to analyse the areas of current research aimed at technologies supporting those suffering from Parkinson’s disease, which is worldwide the second most common type of dementia. Then, it will be specified in what areas modern technologies may help improve care for patients with Parkinson’s. The method to conduct this study was literature review of accessible sources in PubMed, Scopus, Web of Science and ScienceDirect databases. The results showed that technologies are beneficial for patients with Parkinson’s disease in these areas: better personal health and quality of life; ability to better manage own health; receiving faster and more frequent feedback about one’s health; and saving time of caregivers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Grimes, D.A.: Parkinson’s Disease: A Guide to Treatments, Therapies and Controlling Symptoms. Constable & Robinson Ltd., London (2004)
Dorsey, E.R., Constantinescu, R., Thompson, J.P., et al.: Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology 68(5), 384–386 (2007)
Hall, W.: Technology Could Help People with Dementia Remain in Their Homes. The Guardian (2014)
Ginis, P., Nieuwboer, A., Dorfman, M., Ferrari, A., et al.: Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson’s disease: a pilot randomized controlled trial. Parkinsonism Relat. Disord. 15, 30027-4 (2015). https://doi.org/10.1016/j.parkreldis.2015.11.004
Sringean, J., Taechalertpaisarn, P., Thanawattano, C., Bhidayasiri, R.: How well do Parkinson’s disease patients turn in bed? Quantitative analysis of nocturnal hypokinesia using multisite wearable inertial sensors. Parkinsonism Relat. Disord. 23, 10–16 (2016). https://doi.org/10.1016/j.parkreldis.2015.11.003
Cook, D.J., Schmitter-Edgecombe, M., Dawadi, P.: Analyzing activity behavior and movement in a naturalistic environment using smart home techniques. IEEE J. Biomed. Health Inform. 19(6), 1882–1892 (2015). https://doi.org/10.1109/JBHI.2015.2461659
Zhao, Y., Heida, T., van Wegen, E.E., Bloem, B.R., van Wezel, R.J.: E-health support in people with Parkinson’s disease with smart glasses: a survey of user requirements and expectations in the Netherlands. J. Parkinsons Dis. 5(2), 369–378 (2015). https://doi.org/10.3233/jpd150568
Cancela, J., Pastorino, M., Tzallas, A.T., et al.: Wearability assessment of a wearable system for Parkinson’s disease remote monitoring based on a body area network of sensors. Sensors (Basel) 14(9), 17235–17255 (2014). https://doi.org/10.3390/s140917235
Volpe, D., Giantin, M.G., Fasano, A.: A wearable proprioceptive stabilizer (Equistasi®) for rehabilitation of postural instability in Parkinson’s disease: a phase II randomized double-blind, double-dummy, controlled study. PLoS One. 9(11), e112065 (2014). https://doi.org/10.1371/journal.pone.0112065
Lejuez, C.W., Hopko, D.R., Acierno, R., Daughters, S.B., Pagoto, S.L.: Ten year revision of the brief behavioral activation treatment for depression: revised treatment manual. Behav. Modif. 35(2), 111–161 (2011). https://doi.org/10.1177/0145445510390929
Acknowledgement
This paper is published thanks to the support of the internal projects Economic and Managerial Aspects of Processes in Biomedicine.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Maresova, P. (2018). Technological Devices as an Opportunity for People with Parkinson. In: Oliver, N., Serino, S., Matic, A., Cipresso, P., Filipovic, N., Gavrilovska, L. (eds) Pervasive Computing Paradigms for Mental Health. FABULOUS MindCare IIOT 2016 2016 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-319-74935-8_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-74935-8_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74934-1
Online ISBN: 978-3-319-74935-8
eBook Packages: Computer ScienceComputer Science (R0)