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2014 | OriginalPaper | Chapter

Body Area Networks and Healthcare

Author : Daniele Peri

Published in: Advances onto the Internet of Things

Publisher: Springer International Publishing

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Abstract

Derived from Wireless Sensor Networks, Body Area Networks, comprise a wide range of typologies with sensor nodes placed on, close to, or implanted in the body that measure physiological signs. The availability of compact mobile computing devices makes it possible to integrate traditional healthcare with new powerful means. New paradigms in public health are arising from these developments, such as e-health and mHealth, and new converging applications can be envisioned. Physiological data acquisition provided by BANs may give care providers a unobtrusive real-time view on patient’s health. On the other hand, the patient may be informed, assisted and even given the proper treatment by care providers. In this chapter, recent work on BANs focused on healthcare and mHealth is surveyed.

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Alemdar, H., Ersoy, C.: Wireless sensor networks for healthcare: a survey. Comput. Netw. 54(15), 2688–2710 (2010)CrossRef

Atallah, L., Lo, B., Ali, R., King, R., Yang, G.Z.: Real-time activity classification using ambient and wearable sensors. IEEE Trans. Inf. Technol. Biomed. 13(6), 1031–1039 (2009). doi:10.1109/TITB.2009.2028575

Augello, A., Ortolani, M.: Lo Re, G., Gaglio, S.: Sensor mining for user behavior profiling in intelligent environments. Advances in Distributed Agent-Based Retrieval Tools. Studies in Computational Intelligence, vol. 361, pp. 143–158. Springer, Berlin (2011)

Balouchestani, M., Raahemifar, K., Krishnan, S.: Wireless body area networks with compressed sensing theory. In: 2012 ICME International Conference on Complex Medical Engineering (CME), pp. 364–369 (2012). doi:10.1109/ICCME.2012.6275663

Coloberti, M., Lombriser, C., Roggen, D., Tröster, G., Guarneri, R., Riboni, D.: Service discovery and composition in body area networks. In: Proceedings of the ICST 3rd International Conference on Body Area Networks, BodyNets ’08, pp. 7:1–7:4. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium (2008). http://dl.acm.org/citation.cfm?id=1460257.1460267

Cornelius, C.T., Kotz, D.F.: Recognizing whether sensors are on the same body. Pervasive Mob. Comput. 8(6), 822–836 (2012). doi:10.1016/j.pmcj.2012.06.005. http://dx.doi.org/10.1016/j.pmcj.2012.06.005

Coyle, S., Lau, K.T., Moyna, N., O’Gorman, D., Diamond, D., Di Francesco, F., Costanzo, D., Salvo, P., Trivella, M., De Rossi, D., Taccini, N., Paradiso, R., Porchet, J.A., Ridolfi, A., Luprano, J., Chuzel, C., Lanier, T., Revol-Cavalier, F., Schoumacker, S., Mourier, V., Chartier, I., Convert, R., De-Moncuit, H., Bini, C.: Biotex-2014; biosensing textiles for personalised healthcare management. IEEE Trans. Inf. Technol. Biomed. 14(2), 364–370 (2010). doi:10.1109/TITB.2009.2038484 CrossRef

Davilis, Y., Kalis, A., Ifantis, A.: On the use of ultrasonic waves as a communications medium in biosensor networks. IEEE Trans. Inf. Technol. Biomed. 14(3), 650–656 (2010). doi:10.1109/TITB.2009.2039755 CrossRef

De Paola, A., Gaglio, S.: Lo Re, G., Ortolani, M.: Multi-sensor fusion through adaptive bayesian networks. AI*IA 2011: Artificial Intelligence Around Man and Beyond. Lecture Notes in Computer Science, vol. 6934, pp. 360–371. Springer, Berlin (2011)

10.

Donoho, D.: Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006). doi:10.1109/TIT.2006.871582 CrossRefMathSciNet

11.

Farruggia, A.: Lo Re, G., Ortolani, M.: Probabilistic anomaly detection for wireless sensor networks. AI*IA 2011: Artificial Intelligence Around Man and Beyond. Lecture Notes in Computer Science, vol. 6934, pp. 438–444. Springer, Berlin (2011)

12.

Forsstrom, S., Kanter, T., Johansson, O.: Real-time distributed sensor-assisted mhealth applications on the internet-of-things. In: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1844–1849 (2012). doi:10.1109/TrustCom.234

13.

Galluccio, L., Melodia, T., Palazzo, S., Santagati, G.: Challenges and implications of using ultrasonic communications in intra-body area networks. In: 2012 9th Annual Conference on Wireless On-demand Network Systems and Services (WONS), pp. 182–189 (2012). doi:10.1109/WONS.2012.6152227

14.

Guraliuc, A., Barsocchi, P., Potortì, F., Nepa, P.: Limb movements classification using wearable wireless transceivers. IEEE Trans. Inf. Technol. Biomed. 15(3), 474–480 (2011). doi:10.1109/TITB.2011.2118763 CrossRef

15.

Halperin, D., Heydt-Benjamin, T., Ransford, B., Clark, S., Defend, B., Morgan, W., Fu, K., Kohno, T., Maisel, W.: Pacemakers and implantable cardiac defibrillators: Software radio attacks and zero-power defenses. In: IEEE Symposium on Security and Privacy 2008 (SP 2008). pp. 129–142 (2008). doi:10.1109/SP.2008.31

16.

Hamie, J., Denis, B., Richard, C.: Joint motion capture and navigation in heterogeneous body area networks with distance estimation over neighborhood graph. In: 2013 10th Workshop on Positioning Navigation and Communication (WPNC), pp. 1–6 (2013). doi:10.1109/WPNC.2013.6533282

17.

Istepanian, R., Laxminarayan, S., Pattichis, C.S.: M-health: emerging mobile health systems. In: Istepanian, R., Laxminarayan, S., Pattichis, C.S. (eds.) M-Health: Emerging Mobile Health Systems, XXX, 624, illus. 0–387-26558-9, p. 182. Springer, Berlin (2006)

18.

Istepanian, R.S., Pattichis, C.S., Laxminarayan, S.: Ubiquitous m-health systems and the convergence towards 4g mobile technologies. In: M-Health, pp. 3–14. Springer, NY (2006)

19.

Ivanov, S., Botvich, D., Balasubramaniam, S.: Cooperative wireless sensor environments supporting body area networks. IEEE Trans. Consum. Electron. 58(2), 284–292 (2012). doi:10.1109/TCE.2012.6227425 CrossRef

20.

Jovanov, E., Milenkovic, A.: Body area networks for ubiquitous healthcare applications: opportunities and challenges. J. Med. Syst. 35(5), 1245–1254 (2011). doi:10.1007/s10916-011-9661-x. http://dx.doi.org/10.1007/s10916-011-9661-x

21.

Kang, S., Lee, J., Jang, H., Lee, Y., Park, S., Song, J.: A scalable and energy-efficient context monitoring framework for mobile personal sensor networks. IEEE Trans. Mob. Comput. 9(5), 686–702 (2010). doi:10.1109/TMC.2009.154 CrossRef

22.

Khan, A., Lee, Y.K., Lee, S., Kim, T.S.: A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer. IEEE Trans. Inf. Technol. Biomed. 14(5), 1166–1172 (2010). doi:10.1109/TITB.2010.2051955 CrossRef

23.

Kifayat, K., Fergus, P., Cooper, S., Merabti, M.: Body area networks for movement analysis in physiotherapy treatments. In: 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 866–872 (2010). doi:10.1109/WAINA.2010.155

24.

Koutkias, V., Chouvarda, I., Triantafyllidis, A., Malousi, A., Giaglis, G., Maglaveras, N.: A personalized framework for medication treatment management in chronic care. IEEE Trans. Inf. Technol. Biomed. 14(2), 464–472 (2010). doi:10.1109/TITB.2009.2036367 CrossRef

25.

Latré, B., Braem, B., Moerman, I., Blondia, C., Demeester, P.: A survey on wireless body area networks. Wireless Netw. 17(1), 1–18 (2011). doi:10.1007/s11276-010-0252-4. http://dx.doi.org/10.1007/s11276-010-0252-4

26.

Li, C., Raghunathan, A., Jha, N.: Hijacking an insulin pump: Security attacks and defenses for a diabetes therapy system. In: 2011 13th IEEE International Conference on e-Health Networking Applications and Services (Healthcom), pp. 150–156 (2011). doi:10.1109/HEALTH.2011.6026732

27.

Li, H., Tan, J.: Heartbeat-driven medium-access control for body sensor networks. IEEE Trans. Inf. Technol. Biomed. 14(1), 44–51 (2010). doi:10.1109/TITB.2009.2028136 CrossRef

28.

Lombriser, C., Marin-Perianu, R., Roggen, D., Havinga, P., Troster, G.: Modeling service-oriented context processing in dynamic body area networks. IEEE J. Sel. Areas Commun. 27(1), 49–57 (2009). doi:10.1109/JSAC.2009.090106 CrossRef

29.

Ma, T., Shrestha, P., Hempel, M., Peng, D., Sharif, H., Chen, H.H.: Assurance of energy efficiency and data security for ecg transmission in basns. IEEE Trans. Biomed. Eng. 59(4), 1041–1048 (2012). doi:10.1109/TBME.2011.2182196 CrossRef

30.

Nuxoll, E., Siegel, R.: Biomems devices for drug delivery. IEEE Eng. Med. Biol. Mag. 28(1), 31–39 (2009)CrossRef

31.

Patel, M., Wang, J.: Applications, challenges, and prospective in emerging body area networking technologies. IEEE Wirel. Commun. 17(1), 80–88 (2010). doi:10.1109/MWC.2010.5416354 CrossRef

32.

Patel, S., Lorincz, K., Hughes, R., Huggins, N., Growdon, J., Standaert, D., Akay, M., Dy, J., Welsh, M., Bonato, P.: Monitoring motor fluctuations in patients with parkinson’s disease using wearable sensors. IEEE Trans. Inf. Technol. Biomed. 13(6), 864–873 (2009). doi:10.1109/TITB.2009.2033471 CrossRef

33.

Poon, C.C.Y., Zhang, Y.T., Bao, S.D.: A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health. IEEE Commun. Mag. 44(4), 73–81 (2006). doi:10.1109/MCOM.2006.1632652 CrossRef

34.

Pun, S.H., Gao, Y.M., Mak, P., Vai, M.I., Du, M.: Quasi-static modeling of human limb for intra-body communications with experiments. IEEE Trans. Inf. Technol. Biomed. 15(6), 870–876 (2011). doi:10.1109/TITB.2011.2161093 CrossRef

35.

Rego, P., Moreira, P., Reis, L.: Serious games for rehabilitation: a survey and a classification towards a taxonomy. In: 2010 5th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (2010)

36.

Seyedi, M., Kibret, B., Lai, D., Faulkner, M.: A survey on intrabody communications for body area network applications. IEEE Trans. Biomed. Eng. 60(8), 2067–2079 (2013). doi:10.1109/TBME.2013.2254714 CrossRef

37.

Sorber, J., Shin, M., Peterson, R., Cornelius, C., Mare, S., Prasad, A., Marois, Z., Smithayer, E., Kotz, D.: An amulet for trustworthy wearable mhealth. In: Proceedings of the Twelfth Workshop on Mobile Computing Systems and Applications, HotMobile ’12, pp. 7:1–7:6. ACM, New York, NY, USA (2012). doi:10.1145/2162081.2162092. http://doi.acm.org/10.1145/2162081.2162092

38.

Su, H., Zhang, X.: Battery-dynamics driven tdma mac protocols for wireless body-area monitoring networks in healthcare applications. IEEE J. Sel. Areas Commun. 27(4), 424–434 (2009). doi:10.1109/JSAC.2009.090507 CrossRef

39.

Ullah, S., Higgins, H., Braem, B., Latre, B., Blondia, C., Moerman, I., Saleem, S., Rahman, Z., Kwak, K.: A comprehensive survey of wireless body area networks. J. Med. Syst. 36(3), 1065–1094 (2012). doi:10.1007/s10916-010-9571-3. http://dx.doi.org/10.1007/s10916-010-9571-3

40.

Ullah, S., Khan, P., Ullah, N., Saleem, S., Higgins, H., Kwak, K.S.: A review of wireless body area networks for medical applications. IJCNS 2(8), 797–803 (2009)CrossRef

41.

Venkatasubramanian, K., Banerjee, A., Gupta, S.K.S.: Pska: usable and secure key agreement scheme for body area networks. IEEE Trans. Inf. Technol. Biomed. 14(1), 60–68 (2010). doi:10.1109/TITB.2009.2037617 CrossRef

42.

Villalba, E., Salvi, D., Ottaviano, M., Peinado, I., Arredondo, M.T., Akay, A.: Wearable and mobile system to manage remotely heart failure. IEEE Trans. Inf. Technol. Biomed. 13(6), 990–996 (2009). doi:10.1109/TITB.2009.2026572 CrossRef

43.

Wang, Z., Jiang, M., Hu, Y., Li, H.: An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors. IEEE Trans. Inf. Technol. Biomed. 16(4), 691–699 (2012). doi:10.1109/TITB.2012.2196440 CrossRef

44.

Winkley, J., Jiang, P., Jiang, W.: Verity: an ambient assisted living platform. IEEE Trans. Consum. Electron. 58(2), 364–373 (2012). doi:10.1109/TCE.2012.6227435 CrossRef

45.

Wu, C.H., Tseng, Y.C.: Data compression by temporal and spatial correlations in a body-area sensor network: a case study in pilates motion recognition. IEEE Trans. Mob. Comput. 10(10), 1459–1472 (2011). doi:10.1109/TMC.2010.264 CrossRef

46.

Yang, G.Z. (ed.): Body Sensor Networks. Springer, London (2006). doi:10.1007/1-84628-484-8. http://dx.doi.org/10.1007/1-84628-484-8

47.

Zhang, M., Raghunathan, A., Jha, N.: Towards trustworthy medical devices and body area networks. In: 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC), pp. 1–6 (2013)

48.

Zhang, Z., Jung, T.P., Makeig, S., Rao, B.: Compressed sensing for energy-efficient wireless telemonitoring of noninvasive fetal ecg via block sparse bayesian learning. IEEE Trans. Biomed. Eng. 60(2), 300–309 (2013). doi:10.1109/TBME.2012.2226175 CrossRef

49.

Zhang, Z., Jung, T.P., Makeig, S., Rao, B.: Compressed sensing of eeg for wireless telemonitoring with low energy consumption and inexpensive hardware. IEEE Trans. Biomed. Eng. 60(1), 221–224 (2013). doi:10.1109/TBME.2012.2217959 CrossRef

50.

Zhang, Z., Wang, H., Vasilakos, A., Fang, H.: Ecg-cryptography and authentication in body area networks. IEEE Trans. Inf. Technol. Biomed. 16(6), 1070–1078 (2012). doi:10.1109/TITB.2012.2206115 CrossRef

Title: Body Area Networks and Healthcare
Author: Daniele Peri
Publisher: Springer International Publishing
Book: Advances onto the Internet of Things
Print ISBN: 978-3-319-03991-6

Electronic ISBN: 978-3-319-03992-3

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-3-319-03992-3_21

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