Abstract
An average human spends about one third of his life sleeping so quality of sleep is essential for the human being to maintain good physical and emotional health. Sleep disorders may introduce severe physical effects, e.g. cognitive impairments and mental health complications. So being able to measure and evaluate sleep behavior is important for health practitioners and the users themselves. In this paper, we present the implementation of the Sleep Lifestyle Reasoner part of AAL platform which allows detection of minor or major deviations in the sleeping patterns in MCI and COPD patients indicating changes in their health status. The output of the reasoner is fed to the My Sleep Web Application that provides recommendations to improve sleep hygiene and coaches the users into a healthy sleeping behavior, based on their personal rhythms and problems. It also supports the informal caregiver by providing insights on the sleeping behavior of the patient.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ancoli-Israel, S.: Sleep and its disorders in aging populations. Sleep Med. 10, S7–S11 (2009). https://doi.org/10.1016/j.sleep.2009.07.004
Dew, M.A., Hoch, C.C., Buysse, D.J., et al.: Healthy older adults’ sleep predicts all-cause mortality at 4 to 19 years of follow-up. Psychosom. Med. 65, 63–73 (2003)
Brassington, G.S., King, A.C., Bliwise, D.L.: Sleep problems as a risk factor for falls in a sample of community-dwelling adults aged 64–99 years. J. Am. Geriatr. Soc. 48, 1234–1240 (2000)
da Silva, R.: Sleep disturbances and mild cognitive impairment: a review. Sleep Sci. 8(1), 36–41 (2015). https://doi.org/10.1016/j.slsci.2015.02.001
Nikamalfard, H., et al.: A sleep pattern analysis and visualization system to support people with early dementia. In: Proceedings of the 5th ICST Conference on Pervasive Computing Technologies for Healthcare, pp. 510–513 (2011)
Universal Open Platform for AAL. http://www.universaal.org/
Li, R., Lu, B., McDonald-Maier, D.: Cognitive assisted living ambient system: a survey. Digit. Commun. Netw. 1, 229–252 (2015)
Kitamura, K., Nemoto, T.: Automatic sleep monitoring system for home healthcare. In: IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 894–897 (2012)
Ewall for Active Long Living project. http://ewallproject.eu
Koleva, P., Tonchev, K., Balabanov, G., Manolova, A., Poulkov, V.: Challenges in designing and implementation of an effective Ambient Assisted Living system. In: International Conference on Advanced Technologies, Systems and Services in Telecommunications – TELSIKS, Niš, Serbia, pp. 305–308 (2015)
Tonchev, K., Koleva, P., Manolova, A., Tsenov, G., Poulkov, V.: Non-intrusive sleep analyzer for real time detection of sleep anomalies. In: 39th International Conference on Telecommunications and Signal Processing (TSP), Vienna, Austria (2016)
Acknowledgments
This work was supported in part by the Grant Agreement No: 610658, “eWALL for Active Long Living” of the EU Seventh Framework Programme. The authors wish to thank the invaluable help received from all the consortium members.
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
Tonchev, K., Tsenov, G., Mladenov, V., Manolova, A., Poulkov, V. (2018). Personalized and Intelligent Sleep Lifestyle Reasoner with Web Application for Improving Quality of Sleep Part of AAL Architecture. 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_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-74935-8_15
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)