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Vital Role of Wireless Sensor Network in Healthcare

Abhishek Kumar Singh, Ravi Kumar Sharma, Rakesh Joon


Today wireless sensor networks technology has become very popular and showing its remarkable advantages in medical area. In medical healthcare, WSN are considered as a key research area. Here, we have categorized the sensor networks for healthcare system which are: Collection of long-term databases of clinical data, Monitoring of patients in clinical settings, Home and elderly care center monitoring for chronic and elderly patients. Through which we can easily observe the patient condition either the patient is present in clinic or at home. In critical situation we can also take care of patient as well as easily find out the doctors any kind of medical help by using telemonitoring and tracking application of WSN. In this paper, we have discussed about some WSN technologies which are using nowadays and proving that how much their existence is helpful for living a long life, i.e., AICOs, HipGuard, Ultrabadge system, iPackage and CodeBlue, etc. These are some those technologies which are playing a very important role in our daily life and making our life easier and better inspite of in the presence of many dangerous diseases. In the near future, we will see the vast implementation and discoveries of WSN in medical healthcare area.

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Naess, Eirik, et al. “Biomedical Wireless Sensor Network – Phase II.

files/BWSN%20II%20Technical%20Project%20Report_March2010.pdf. accessed on 1/12/2013.

Dishongh, Terrance, et al. Wireless Sensor Networks for Healthcare Applications. Artech House Publishing; 2010.

P. Johnson, et al. Remote continuous physiological monitoring in the home, J Telemed Telecare. 1996; 2(2): 107–13p.

M. Ogawa, et al. Fully automated biosignal acquisition in daily routine through 1 month, International Conference on IEEE-EMBS. Hong Kong, 1998, 1947–50p.

B.G. Celler, et al. An instrumentation system for the remote monitoring of changes in functional health status of the elderly, International Conference IEEE-EMBS. New York; 1994, 908–9p.

G. Coyle, et al. Home telecare for the elderly, J Telemed Telecare. 1995; 1: 183–4p.

Y.H. Nam, et al. Development of remote diagnosis system integrating digital telemetry for medicine, International Conference IEEE-EMBS. Hong Kong, 1998, 1170–3p.

P. Bauer, M. Sichitiu, R. Istepanian, K. Premaratne. The mobile patient: wireless distributed sensor networks for patient monitoring and care, In: Proceedings 2000 IEEE EMBS International Conference on Information Technology Applications in Biomedicine. 2000, 17–21p.

N. Noury, T. Herve, V. Rialle, G. Virone, E. Mercier, G. Morey, A. Moro, T. Porcheron. Monitoring behavior in home using a smart fall sensor, In: IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. 2000, 607–10p.

B. Sibbald. Use computerized systems to cut adverse drug events: report, Can Med Assoc J. 2001; 164(13): 1878, 1/2p, 1c.

N. Bulusu, D. Estrin, L. Girod, J. Heidemann. Scalable coordination for wireless sensor networks: self-configuring localization systems, In: International Symposium on Communication Theory and Applications. (ISCTA 2001), Ambleside, UK, 2001.

J.M. Kahn, R.H. Katz, K.S.J. Pister. Next century challenges: mobile networking for smart dust, In: Proceedings of the ACM MobiCom’99. Washington, USA, 1999, 271–8p.

N. Noury, T. Herve, V. Rialle, G. Virone, E. Mercier, G. Morey, A. Moro, T. Porcheron. Monitoring behavior in home using a smart fall sensor, In: IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. October 2000, 607–10p.

J.M. Rabaey, M.J. Ammer, J.L. da Silva, Jr., D. Patel, S. Roundy, PicoRadio supports ad hoc ultra-low power wireless networking, IEEE Comput Mag. 2000; 42–8p.

B. Warneke, B. Liebowitz, K.S.J. Pister. Smart dust: communicating with a cubic-millimeter computer, IEEE Comput. 2001, 2–9p.

C. Lu, L. Fu. Robust location-aware activity recognition using wireless sensor network in an attentive home, IEEE Trans Automat Sci Eng. 2009; 598–609p.

P. Iso-ketola, T. Karinsalo, J. Vanhala. HipGuard: a wearable measurement system for patients recovering from a hip operation, In: Second International Conference on Pervasive Computing Technologies for Healthcare. 2008.

R. Takeda, S. Tadano, M. Todoh, M. Morikawa, M. Nakayasu, S. Yoshinari. Gait analysis using gravitational acceleration measured by wearable sensors, J Biomech. 2009; 42: 223–33p.

T. Hori, Y. Nishida. Ultrasonic sensors for the elderly and caregivers in a nursing home, In: Seventh International Conference on Enterprise Information Systems. 2005, 110–5p.

Z. Pang, Q. Chen, L. Zheng. A pervasive and preventive healthcare solution for medication noncompliance and daily monitoring, In: 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies. IEE, 2009, 1–6p.


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