Abstract
The clinical study of the most basic vital signs of a patient represents the simplest and most effective way to detect and monitor health problems. There are many diseases that can be diagnosed and controlled through regular monitoring of these medical data. The purpose of this study is to develop a monitoring and tracking system for the various vital signs of a patient. In particular, this work focuses on the design of a multi-agent architecture composed of virtual organizations with capabilities to integrate different medical sensors on an open, low-cost hardware platform. This system integrates hardware and software elements needed for the routine measurement of vital signs, performed by the patient or caregiver without having to go to a medical center.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aquilano, N.J., Smith, D.E.: A formal set of algorithms for project scheduling with critical path scheduling/material requirements planning. J. Oper. Manage. 1(2), 57–67 (1980)
van den Berg, N., et al.: Telemedicine and telecare for older patients–a systematic review. Maturitas 73(2), 94–114 (2012)
Busse, R., et al.: Tackling chronic disease in Europe: strategies, interventions and challenges. Obs. Stud. 20, 111 (2010)
Corchado, J.M., et al.: GerAmi: improving healthcare delivery in geriatric residences. IEEE Intell. Syst. 23(2), 19–25 (2008)
Fezari, M., et al.: Ambulatory health monitoring system using wireless sensors node. Procedia Comput. Sci. 65, 86–94 (2015)
Fraile, J.A. et al.: Context-aware multiagent system: planning home care tasks. Knowl. Inf. Syst. (2013)
Howe, A., Anderson, J.: Involving patients in medical education. BMJ 327(7410), 326–328 (2003)
Huang, F.-H.: Explore home care needs and satisfaction for elderly people with chronic disease and their family members. Procedia Manuf. 3, 173–179 (2015)
Knai, C., et al.: Systematic review of the methodological quality of clinical guideline development for the management of chronic disease in Europe. Health Policy 107(2–3), 157–167 (2012)
Koutkias, V.G., et al.: Multi-agent system architecture for heart failure management in a home care environment. Comput. Cardiol. 2003, 383–386 (2003)
Preuveneers, D., et al.: The future of mobile e-health application development: exploring HTML5 for context-aware diabetes monitoring. Procedia Comput. Sci. 21, 351–359 (2013)
Varma, D., et al.: Development of home health care self monitoring system 4(6), 252–255 (2015)
Varshney, U.: Mobile health: Four emerging themes of research. Decis. Support Syst. 66, 20–35 (2014)
Virone, G., et al.: An advanced wireless sensor network for health monitoring. Transdiscipl. Conf. Distrib. Diagnosis Home Healthc. 2–5 (2006)
Wimmer, N.J., et al.: The clinical significance of continuous ECG (ambulatory ECG or Holter) monitoring of the ST-segment to evaluate ischemia: a review. Prog. Cardiovasc. Dis. 56(2), 195–202 (2013)
Wood, A., et al.: Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Netw. 22(4), 26–33 (2008)
Zato, C., et al.: PANGEA: a new platform for developing virtual organizations of agents. Int. J. Artif. Intell. 11(13A), 93–102 (2013)
Chris Rorden’s Neuropsychology Lab » Open source multi-channel EEG/ECG/EMG. http://www.mccauslandcenter.sc.edu/CRNL/tools/ads1298
Cooking Hacks - Electronic Kits, tutorials and guides for Makers and Education. https://www.cooking-hacks.com/
Raspberry Pi - Teach, Learn, and Make with Raspberry Pi. https://www.raspberrypi.org/
Acknowledgements
The research of Alberto L. Barriuso has been co-financed by the European Social Fund (Operational Programme 2014-2020 for Castilla y León, EDU/128/2015 BOCYL).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Hernández, D., Villarrubia, G., Barriuso, A.L., Lozano, Á., Revuelta, J., De Paz, J.F. (2016). Multi Agent Application for Chronic Patients: Monitoring and Detection of Remote Anomalous Situations. In: Bajo, J., et al. Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. PAAMS 2016. Communications in Computer and Information Science, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-39387-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-39387-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-39386-5
Online ISBN: 978-3-319-39387-2
eBook Packages: Computer ScienceComputer Science (R0)