![](bg6.png)
provements/updates(eg.: updating resource optimiza-
tions algorithms will not imply changes in applica-
tions). Applications can access higher level informa-
tion based on a model that derives its values from the
data on the sensor network.
Models, the mapping between sensor data and
model information and the optimization of resources
while meeting requirements are the main challenges.
Other issues like network topologies and service dis-
covery are also future work as the former will be re-
lated to resources and the latter with the ability to ac-
cess information in a plug-n-play architecture.
Experiments (healthcare and physical assessment)
will be undertaken at a future point to test the pro-
posed architecture.
ACKNOWLEDGEMENTS
Pedro Brand˜ao is partially funded by Fundac¸˜ao para
Ciˆencia e Tecnologia from Portugal.
REFERENCES
Aylward, R. and Paradiso, J. A. (2006). Sensemble: A wire-
less, compact, multi-user sensor system for interac-
tive dance. In NIME, pages 134–139, 1, place Igor-
Stravinsky, 75004 Paris. IRCAM.
Coimbra, M., Campos, P., and Cunha, J. P. (2006). Topo-
graphic segmentation and transit time estimation for
endoscopic capsule exams. In Acoustics, Speech and
Signal Processing, 2006. ICASSP 2006 Proceedings.
2006 IEEE International Conference on, volume 2,
pages 1164–1167.
Computer Laboratory, D. T. G. (2007). Sesame Project.
www.sesame.ucl.ac.uk.
Equivital (2007). Equivital. www.equivital.co.uk.
Fummi, F., Perbellini, G., Pietrangeli, R., and Quaglia, D.
(2007). A middleware-centric design flow for net-
worked embedded systems. In Design, Automation &
Test in Europe Conference & Exhibition, pages 1048–
1053, Nice, France. EDA Consortium.
Garino, P., Gorski, J., Gouw, M. D., Huebner, A., Quaglia,
D., and Willig, A. (2007). An integrated approach for
the design of applications based on body sensor net-
works to improve quality of life. White paper, Angel
Project, Angel project white paper.
Heinzelman, W. B., Murphy, A. L., Carvalho, H. S., and
Perillo, M. A. (2004). Middleware to support sensor
network applications. Network, IEEE, 18:6–14.
Hunter, P., Robbins, P., and Noble, D. (2002). The IUPS
human physiome project. Pflugers Arch, 445:1–9.
Johannessen, E. A., Wang, L., Reid, S. W. J., Cumming,
D. R. S., and Cooper, J. M. (2005). Implementation
of radiotelemetry in a lab-in-a-pill format. Lab on a
Chip, 6:39 – 45.
Korhonen, I., Parkka, J., and Gils, M. V. (2003). Health
monitoring in the home of the future. Engineering in
Medicine and Biology Magazine, IEEE, 22:66–73.
Lo, B. P. and Yang, G.-Z. (2006). Body sensor networks:
Infrastructure for life science sensing research. In Life
Science Systems and Applications Workshop, 2006.
IEEE/NLM, pages 1–2.
Lorincz, K., Malan, D. J., Fulford-Jones, T. R., Nawoj, A.,
Clavel, A., Shnayder, V., Mainland, G., Welsh, M.,
and Moulton, S. (2004). Sensor networks for emer-
gency response: challenges and opportunities. Perva-
sive Computing, IEEE, 3:16–23.
Lukowicz, P., Hanser, F., Szubski, C., and Schobersberger,
W. (2006). Detecting and interpreting muscle activity
with wearable force sensors. In Pervasive Computing,
volume 3968/2006 of Lecture Notes in Computer Sci-
ence, pages 101–116. Springer Berlin / Heidelberg.
Mackay, R. S. (1961). Radio telemetering from within the
body. Science, 134:1410.
Madden, S. R., Franklin, M. J., Hellerstein, J. M., and
Hong, W. (2005). Tinydb: an acquisitional query
processing system for sensor networks. ACM Trans.
Database Syst, 30:122–173.
Mascolo, C., Capra, L., Zachariadis, S., and Emmerich, W.
(2002). Xmiddle: A data-sharing middleware for mo-
bile computing. Wireless Personal Communications,
21:77–103.
Paradiso, J. A. (2005). Energy scavenging for mobile
and wireless electronics. IEEE Pervasive Computing,
4:18–27.
R¨omer, K. (2004). Programming paradigms and middle-
ware for sensor networks. GI/ITG Fachgespr¨ach Sen-
sornetze, Karlsruhe.
Roundy, S., Wright, P. K., and Rabaey, J. M. (2004). En-
ergy Scavenging for Wireless Sensor Networks: With
Special Focus on Vibrations. Kluwer Academic Pub-
lishers.
Sentilla (2008). Sentilla. www.sentilla.com.
Steil, G. M., Panteleon, A. E., and Rebrin, K. (2004).
Closed-loop insulin delivery-the path to physiological
glucose control. Adv Drug Deliv Rev, 56:125–144.
SUN (2007). SunSPOT. www.sunspotworld.com.
Vivometrics (2007). VivoMetrics. www.vivometrics.com.
Whitehouse, K., Sharp, C., Brewer, E., and Culler, D.
(2004). Hood: a neighborhood abstraction for sen-
sor networks. In International Conference On Mobile
Systems, Applications And Services, pages 99–110,
Boston, MA, USA. ACM.
Yao, Y. and Gehrke, J. (2002). The cougar approach to in-
network query processing in sensor networks. SIG-
MOD Rec., 31:9–18.
HEALTHINF 2009 - International Conference on Health Informatics
250