Abstract
Recent data of the European Union reveals that the main chronic pathologies are the Cardiovascular Disease (CVD), the main cause of death in Europe, and respiratory diseases, specially the Chronic Obstructive Pulmonary Disease (COPD). Each year CVD causes over 4 million deaths in Europe alone and over 1.9 million deaths in the European Union (EU). According to the WHO (World Health Organization), in 2030 COPD will be the third leading cause of death, and the first cause of sanitary costs in Europe, due to the profiles of the expenses in health sector and the long time expenses by age groups and their important associate morbidity. New medical applications based on remote monitoring can help treat those chronic diseases but significantly will increase the volume of health information to manage, including data from medical and biological sensors, being then necessary to process this huge volume of data using techniques from Big Data. In this paper we propose one potential solution for creating those new services, based on Big Data processing and IoT concepts.
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
Preview
Unable to display preview. Download preview PDF.
References
WHO global report. Preventing chronic diseases: a vital investment, World Health Organization (2005)
Rolim, C.O., Koch, F.L., Westphall, C.B., Werner, J., Fracalossi, A., Salvador, G.S.: A Cloud Computing Solution for Patient’s Data Collection in Health Care Institutions. In: Second International Conference on eHealth, Telemedicine, and Social Medicine, E℡EMED 2010, pp. 95–99 (2010)
Páez, D.G., Aparicio, F., Ascanio, J.R., Beaterio, A.: Innovative Health Services Using Cloud Computing and Internet of Things. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds.) UCAmI 2012. LNCS, vol. 7656, pp. 415–421. Springer, Heidelberg (2012)
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proc. ACM SIGMOD International Conference on Management of Data, pp. 1247–1250. ACM, New York (2008)
BitTorrent Sync., http://www.bittorrent.com/intl/es/sync/technology
NoSql Databases, http://nosql-database.org/
Riak Database, http://basho.com/riak/
Gachet, D., Aparicio, F., Buenaga, M., Padrón, V.: Personalized Health Care System with Virtual Reality Rehabilitation and Appropriate Information for Seniors. Sensors 12(5), 5502–5516 (2012) ISSN 1424-8220
López-Fernández, H., Reboiro-Jato, M., Glez-Peña, D., Aparicio, F., Gachet, D., Buenaga, M., Fdez-Riverola, F.: BioAnnote: A software platform for annotating biomedical documents with application in medical learning environments. Computer Methods and Programs in Biomedicine (2013)
Lounis, A., Hadjidj, A., Bouabdallah, A., Challal, Y.: Secure and Scalable Cloud-Based Architecture for e-Health Wireless Sensor Networks. In: 2012 21st International Conference on Computer Communications and Networks (ICCCN), pp. 1–7 (2012)
Nkosi, M.T., Mekuria, F.: Cloud Computing for Enhanced Mobile Health Applications. In: 2010 IEEE Second International Conference on Cloud Computing Technology and Science, pp. 629–633 (2010)
Redondi, A., Chirico, M., Borsani, L., Cesana, M., Tagliasacchi, M.: An integrated system based on wireless sensor networks for patient monitoring, localization and tracking. Ad Hoc Networks 11(1), 39–53 (2013)
Shiraz, M., Gani, A., Khokhar, R., Buyya, R.: A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing. IEEE Communications Surveys Tutorials PP(99), 1–20 (2012)
Simanta, S., Lewis, G.A., Morris, E., Ha, K., Satyanarayanan, M.: A Reference Architecture for Mobile Code Offload in Hostile Environments. In: 2012 Joint Working IEEE/IFIP Conference on Software Architecture (WICSA) and European Conference on Software Architecture (ECSA), pp. 282–286 (2012)
Steele, R., Lo, A.: Telehealth and ubiquitous computing for bandwidth-constrained rural and remote areas. Personal and Ubiquitous Computing 17(3), 533–543 (2013)
Kim, G.-H., Trimi, S., Chung, J.-H.: Big-data applications in the government sector. Commun. ACM 57(3), 78–85 (2014)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Páez, D.G., Aparicio, F., de Buenaga, M., Ascanio, J.R. (2014). Big Data and IoT for Chronic Patients Monitoring. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_68
Download citation
DOI: https://doi.org/10.1007/978-3-319-13102-3_68
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13101-6
Online ISBN: 978-3-319-13102-3
eBook Packages: Computer ScienceComputer Science (R0)