Abstract
This paper introduces a multi-agent solution for remote monitoring based on wireless network of sensors that are used to collect and process medical data describing the current patient state. A multi-agent architecture is provided for a sensor network of medical devices, which is able to adaptively react to various events in real time. To implement this solution it is proposed to partially process the data by autonomous medical devices without transmitting it to the server and adapt the sampling intervals on the basis of the non-equidistant time series analysis. The solution is illustrated by simulation results and clinical deployment.
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Andreev, V., Glashchenko, A., Ivaschenko, A., Inozemtsev, S., Rzevski, G., Skobelev, P., Shveykin, P.: Magenta multi-agent systems for dynamic scheduling. In: Proceedings of the 1st International Conference on Agents and Artificial Intelligence (ICAART 2009), pp. 489–496 (2009)
Glaschenko, A., Ivaschenko, A., Rzevski, G., Skobelev, P.: Multi-agent real time scheduling system for taxi companies. In: Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, pp. 29–36 (2009)
Ivaschenko, A., Dmitriev, A., Cherepanov, A., Vaisblat, A., Kolsanov, A.: “Virtual Surgeon” training suite for laparoscopy, endovascular and open surgery simulation. In: Proceedings of the 27th European Simulation and Modeling Conference (ESM 2013), pp. 114–118. EUROSIS-ETI, Lancaster University (2013)
Prokhorov, S.: Applied analysis of random processes, Samara scientific center of RAS., 582 p. (2007), http://window.edu.ru/resource/665/58665/files/9_pasp.pdf
Ivaschenko, A., Lednev, A.: Time-based regulation of auctions in P2P outsourcing. In: Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technology (IAT), Atlanta, Georgia, USA, pp. 75–79 (2013)
Leitão, P.: Holonic rationale and self-organization on design of complex evolvable systems. In: Mařík, V., Strasser, T., Zoitl, A. (eds.) HoloMAS 2009. LNCS, vol. 5696, pp. 1–12. Springer, Heidelberg (2009)
Kalina, P., Vokřínek, J., Mařík, V.: The art of negotiation: developing efficient agent-based algorithms for solving vehicle routing problem with time windows. In: Mařík, V., Lastra, J.L.M., Skobelev, P. (eds.) HoloMAS 2013. LNCS, vol. 8062, pp. 187–198. Springer, Heidelberg (2013)
Gorodetskii, V.I.: Self-organization and multiagent systems: I. Models of multiagent self-organization. Journal of Computer and Systems Sciences International 51(2), 256–281 (2012)
Bergenti, F., Poggi, A.: Multi-agent systems for E-health: Recent projects and initiatives. In: 10th International Workshop on Objects and Agents (2009)
Reynolds, H.N., Rogove, H., Bander, J., McCambridge, M., Cowboy, E., Niemeier, M.: Telemedicine and e-Health 17(10), 773–783 (2011), doi:10.1089/tmj.2011.0045
Decision support systems (February 17, 2009), http://www.openclinical.org/dss.html
Sahandi, R., Noroozi, S., Roushanbakhti, G., Heaslip, V., Liu, Y.: Wireless technology in the evolution of patient monitoring on general hospital wards. Journal of Medical Engineering and Technology 34(1), 51–63 (2010)
Liu, Y., Sahandi, R.: ZigBee network for remote patient monitoring. In: IEEE 22nd International Symposium on Information, Communication and Automation Technologies, Sarajevo, Bosnia & Herzegovina, October 29-31, pp. 1–7 (2009)
Shnayder, V., Chen, B., Lorincz, K., Fulford-Jones, T.R.F., Welsh, M.: Sensor networks for medical care. Technical Report TR-08-05, Division of Engineering and Applied Sciences, Harvard University (2005), http://www.eecs.harvard.edu/mdw/proj/codeblue
Aminian, M., Naji, H.R.: A hospital healthcare monitoring system using wireless sensor networks. J. Health Med. Inform. 4, 121 (2013), doi:10.4172/2157-7420.1000121
Schoder, D., Fischbach, K.: Peer-to-peer prospects. Communications of the ACM 46(2), 27–29 (2003)
Minar, N.: Distributed systems topologies: Part 1 (2001), http://www.openp2p.com/pub/a/p2p/2001/12/14/topologies_one.html
Weisstein, E.W.: Heaviside step function. From MathWorld – A Wolfram Web Resource (2013), http://mathworld.wolfram.com/HeavisideStepFunction.html
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Ivaschenko, A., Minaev, A. (2014). Multi-agent Solution for Adaptive Data Analysis in Sensor Networks at the Intelligent Hospital Ward. In: Ślȩzak, D., Schaefer, G., Vuong, S.T., Kim, YS. (eds) Active Media Technology. AMT 2014. Lecture Notes in Computer Science, vol 8610. Springer, Cham. https://doi.org/10.1007/978-3-319-09912-5_38
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DOI: https://doi.org/10.1007/978-3-319-09912-5_38
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