Abstract
Smart cities applications are now very relevant in both the academic and industrial settings. Smart health processes are among the most significant cases of smart cities applications, where the goal is to determine effective and efficient decision-making processes in the context of healthcare management. One way to achieve this goal is just introducing novel sensor data fusion algorithms and techniques, as to take advantages from the mature area of sensor data management and processing. This article proposes a system based on sensors data to identify the most appropriate solution to be activated when a health problem arises. In particular, the proposed system allows identifying anomalies, their assessment and their management.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alwan, A., Armstrong, T., Bettcher, D., et al.: Global Status Report on Noncommunicable Diseases. World Health Organization, Geneva (2010)
Anderson, G.: Chronic Care: Making the Case for Ongoing Care. Robert Wood Johnson Foundation (2010). http://www.rwjf.org/content/dam/farm/
BPMN Specification - Business Process Model and Notation
Fazi, P., Grifoni, P., Luzi, D., Ricci, F.L., Vignetti, M.: Is workflow technology suitable to represent and manage clinical trials? Stud. Health Technol. Inform. 77, 302–306 (2000)
Grifoni, P., Luzi, D., Merialdo, P., Ricci, F.L.: ATREUS: a model for the conceptual representation of a workflow. In: Proceedings of DEXA Workshop 1997. IEEE Press (1997)
Grone, O., Garcia-Barbero, M.: Integrated care: a position paper of the WHO European office for integrated health care services. Int. J. Integr. Care 1, e21 (2001)
Sabato, E., Leo, C.G., Sabina, S.: Continuity of health care in patients with chronic respiratory insufficiency: a macro-model of care integration between hospital and home. Multidisciplinary Respir. Med. 4(2), 112–120 (2009)
WHO: Global Strategy on People-centred and Integrated Health Services. http://www.who.int/servicedeliverysafety/areas/people-centred-care/en/
Rafanelli, M., Ferri, F., Maceratini, R., Sindoni, G.: An object oriented decision support system for the planning of health resource allocation. Comput. Methods Programs Biomed. 48(1–2), 163–168 (1995)
Ferri, F., Pisanelli, D.M., Ricci, F.L.: An object-oriented model for a multimedia patient folder management system. ACM SIGBIO Newsl. 16, 2–18 (1996)
Ferri, F., Grifoni, P., Leo, C.G., Mincarone, P., Sabina, S.: Health and assistance processes modelling and management at home and in residential structures by fusing sensor data. In: Proceedings of LTC 2015 (2015)
Cuzzocrea, A.: Privacy and security of big data: current challenges and future research perspectives. In: Proceedings of ACM PSBD 2014 (2014)
Cuzzocrea, A., Matrangolo, U.: Analytical synopses for approximate query answering in OLAP environments. In: Proceedings of DEXA 2004 (2004)
Cannataro, M., Cuzzocrea, A., Pugliese, A.: A probabilistic approach to model adaptive hypermedia systems. In: Proceedings of WebDyn 2001 (2001)
Cuzzocrea, A., Fortino, G., Rana, O.F.: Managing data and processes in cloud-enabled large-scale sensor networks: state-of-the-art and future research directions. In: Proceedings of CCGRID 2013 (2013)
Zhang, P., Deng, Q., Liu, X., Yang, R., Zhang, H.: Emergency-oriented spatiotemporal trajectory pattern recognition by intelligent sensor devices. IEEE Access 5, 3687–3697 (2017)
Lai, C.-F., Hwang, R.-H., Lai, Y.-H.: An intelligent body posture analysis model using multi-sensors for long-term physical rehabilitation. J. Med. Syst. 41(4), 1–15 (2017)
Hu, J.-X., Chen, C.-L., Fan, C.-L., Wang, K.-H.: An intelligent and secure health monitoring scheme using IoT sensor based on cloud computing. J. Sens. 2017, 1–11 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Cuzzocrea, A., Ferri, F., Grifoni, P. (2018). Intelligent Sensor Data Fusion for Supporting Advanced Smart Health Processes. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-61566-0_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61565-3
Online ISBN: 978-3-319-61566-0
eBook Packages: EngineeringEngineering (R0)