The Use of Smartwatches for Health Monitoring in Home-Based Dementia Care

  • Costas Boletsis
  • Simon McCallum
  • Brynjar Fowels Landmark
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9194)

Abstract

A large number of dementia patients receive home-based care, in order to maintain their independence and improve quality of life and health status. The current formal home-based care model presents certain limitations related to the monitoring of the patients and the reporting of the progression of physical and cognitive decline. In recent years, novel care models and assistive technologies have been proposed in order to improve the quality of care and assistance services. In this paper, we test the assumption that the use of smartwatches for monitoring physical health aspects of dementia patients can benefit formal home-based care, by providing formal caregivers with additional, important information about significant, health-related events that may have happened during the non-visit home care hours. We perform a qualitative feasibility study - consisted of a small-scale usability study with one dementia patient, and an expert (physician) review - in order to test and evaluate the efficacy of a smartwatch intervention in home-based dementia care, as well as to examine its potential for a subsequent, larger-scale study. The smartwatch documented participant’s health-related issues regarding night sleep disturbances, potentially frequent toilet visits, daytime snoozing, low sleep quality and early waking up times. Those issues were verified by the project’s physician and, subsequently, measures can be taken to ensure the patient’s good health, safety, and quality of life.

Keywords

Cognitive impairment Dementia Home-Based care Smartwatch Wearable computing 

References

  1. 1.
    Alzheimer’s Disease International: Dementia statistics (2014). http://www.alz.co.uk/research/statistics. Accessed 26 December 2014
  2. 2.
    Basis Science Inc.: Basis B1 Band Presents the Whole Picture - in Real Time, All the Time (2011). http://www.mybasis.com/wpcontent/uploads/2012/01/BasisTechnologyOverview1014111.pdf. Accessed 22 December 2014
  3. 3.
    Beauvais, B.S., Rialle, V., Sablier, J.: Myvigi: an android application to detect fall and wandering. In: The Sixth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, UBICOMM 2012, pp. 156–160 (2012)Google Scholar
  4. 4.
    Boletsis, C., McCallum, S.: Connecting the player to the doctor: utilising serious games for cognitive training & screening. In: NordiCHI 2014 Workshop on Designing Self-Care for Everyday Life (2014). https://designingselfcareforeverydaylife.files.wordpress.com/2014/10/connecting-the-player-to-the-doctor.pdfx. Accessed 28 January 2015
  5. 5.
    Cahill, S., Macijauskiene, J., Nygrd, A., Faulkner, J., Hagen, I.: Technology in dementia care. Technol. Disabil. 19(2), 55–60 (2007)Google Scholar
  6. 6.
    Comas-Herrera, A., Northey, S., Wittenberg, R., Knapp, M., Bhattacharyya, S., Burns, A.: Future costs of dementia-related long-term care: exploring future scenarios. Int. Psychogeriatr. 23, 20–30 (2011)CrossRefGoogle Scholar
  7. 7.
    Fonteyn, M., Bauer-Wu, S.: Using qualitative evaluation in a feasibility study to improve and refine a complementary therapy intervention prior to subsequent research. Complement. Ther. Clin. Pract. 11(4), 247–252 (2005)CrossRefGoogle Scholar
  8. 8.
    Jönsson, L., Eriksdotter-Jönhagen, M., Kilander, L., Soininen, H., Hallikainen, M., Waldemar, G., Nygaard, H., Andreasen, N., Winblad, B., Wimo, A.: Determinants of costs of care for patients with Alzheimer’s disease. Int. J. Geriatr. Psychiatry 21(5), 449–459 (2006)CrossRefGoogle Scholar
  9. 9.
    Marshall, M.: ASTRID: A Social and Technological Response to Meeting the Needs of Individuals with Dementia and Their Carers. Hawker Publications, London (2000)Google Scholar
  10. 10.
    McCallum, S.: Gamification and serious games for personalized health. Stud. Health Technol. Inform. 177, 85–96 (2012)Google Scholar
  11. 11.
    Norwegian Ministry of Health and Care Services: Dementia Plan 2015: making the most of good days. Norwegian Ministry of Health and Care Services (2007)Google Scholar
  12. 12.
    Paganelli, F., Giuli, D.: An ontology-based system for context-aware and configurable services to support home-based continuous care. IEEE Trans. Inf Technol. Biomed. 15(2), 324–333 (2011)CrossRefGoogle Scholar
  13. 13.
    Patel, S., Ahmed, T., Lee, J., Ruoff, L., Unadkat, T.: Validation of Basis Science Advanced Sleep Analysis: Estimation of Sleep Stages and Sleep Duration (2014). http://www.mybasis.com/wp-content/uploads/2014/04/Validation-of-Basis-Science-Advanced-Sleep-Analysis.pdf. Accessed 22 December 2014
  14. 14.
    Raghunath, M.T., Narayanaswami, C.: User interfaces for applications on a wrist watch. Pers. Ubiquit. Comput. 6(1), 17–30 (2002)CrossRefGoogle Scholar
  15. 15.
    Schwarzmeier, A., Besser, J., Weigel, R., Fischer, G., Kissinger, D.: A compact back-plaster sensor node for dementia and Alzheimer patient care. In: Sensors Applications Symposium (SAS), 2014, pp. 75–78. IEEE (2014)Google Scholar
  16. 16.
    Schwenk, M., Hauer, K., Dutzi, I., Mohler, J., Najafi, B.: Predicting in-hospital falls in geriatric patients with dementia using one body-worn sensor. J. Am. Geriatr. Soc. 62, S146–S147 (2014)Google Scholar
  17. 17.
    Shin, D.-M., Shin, D.I., Shin, D.: Smart watch and monitoring system for dementia patients. In: Park, J.J., Arabnia, H.R., Kim, C., Shi, W., Gil, J.-M. (eds.) GPC 2013. LNCS, vol. 7861, pp. 577–584. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  18. 18.
    Smith, S., Lamping, D., Banerjee, S., Harwood, R., Foley, B., Smith, P., Cook, J., Murray, J., Prince, M., Levin, E., Mann, A., Knapp, M.: Measurement of health-related quality of life for people with dementia: development of a new instrument (DEMQOL) and an evaluation of current methodology. Health Technol. Assess. 9(10), 1–93 (2005)CrossRefGoogle Scholar
  19. 19.
    Sperling, R.A., Aisen, P.S., Beckett, L.A., Bennett, D.A., Craft, S., Fagan, A.M., Iwatsubo, T., Jack, C.R., Kaye, J., Montine, T.J., Park, D.C., Reiman, E.M., Rowe, C.C., Siemers, E., Stern, Y., Yaffe, K., Carrillo, M.C., Thies, B., Morrison-Bogorad, M., Wagster, M.V., Phelps, C.H.: Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia 7(3), 280–292 (2011)CrossRefGoogle Scholar
  20. 20.
    Topo, P.: Technology studies to meet the needs of people with dementia and their caregivers: a literature review. J. Appl. Gerontol. 28(1), 5–37 (2009)CrossRefGoogle Scholar
  21. 21.
    Wimo, A., Jnsson, L., Gustavsson, A., McDaid, D., Ersek, K., Georges, J., Gulcsi, L., Karpati, K., Kenigsberg, P., Valtonen, H.: The economic impact of dementia in europe in 2008 - cost estimates from the eurocode project. Int. J. Geriatr. Psychiatry 26(8), 825–832 (2011)CrossRefGoogle Scholar
  22. 22.
    Woolham, J.: Assistive Technology in Dementia Care: Developing the Role of Technology in the Care and Rehabilitation of People with Dementia - Current Trends and Perspectives. Hawker Publications, London (2006)Google Scholar
  23. 23.
    World Health Organization: Dementia - a public health priority (2014). http://www.who.int/mental_health/neurology/dementia/en/. Accessed 27 December 2014

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Costas Boletsis
    • 1
  • Simon McCallum
    • 1
  • Brynjar Fowels Landmark
    • 2
  1. 1.Gjøvik University CollegeGjovikNorway
  2. 2.Inland Hospital Trust Mental Health DivisionHamarNorway

Personalised recommendations