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and continuously collects personal data, privacy
is a primary concern. Security becomes more of
a concern when these portable devices are active;
such as in the case of administering medication
when certain conditions are detected. With such
devices, there is a concern of malicious behavior
and liability to the manufacturer.
We believe that these challenges will define
some of the future research directions. Research
areas will include:
accuracy and repeatability of the device prototype
in measuring physiological parameters and the
accuracy of the algorithm in detecting agitation.
We believe that such a technology, if commercial-
ized, would play a significant role in the care for
Alzheimer's patients.
ACKNOWLEDGMENT
This research was funded by the American Uni-
versity of Beirut University Research Board, Dar
Al- Handassah (Shair & Partners) Research Fund,
and the Rathman (Kadifa) Fund. We would like to
thank Dr. Cheryl Riley-Doucet and Dr. Debatosh
Debnath from Oakland University for providing
the data used in this research.
•
Miniaturization of physiological sensors to
facilitate mounting and interfacing. We ex-
pect research in MEMs and NEMs to target
the development of noninvasive miniature
sensors.
•
Development of sensors capable of short
range secure wireless communication.
This would enable devices to measure dif-
ferent parameters potentially at different
point on the subject's body without the
need for wires.
REFERENCES
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Diagnostic and statistical manual of mental
disorders
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dsm.html
•
Development of devices capable of har-
vesting energy from the subject's body
and/or motion. This would enable pro-
longed operation with no concern for pro-
cessing demands.
Aronszajn, N. (1950).
Introduction to the theory
of Hilbert spaces
. Stillwater, FL: Research Foun-
dation.
•
Development of intelligent devices ca-
pable of predicting specific conditions and
potentially autonomously carrying out in-
tervention. For example, detect the onset
of agitation and carry out calming actions.
Badlinger, J.-L., et al. (2004). Tele-surveillance
system for patient at home: The MEDIVILLE sys-
tem. In J. Klaus, K. Miesenberger, W. L. Zagler, &
D. Burger (Eds.),
Proceedings the 9
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Special Needs (ICCHP '04)
(vol. 3118, pp. 400-
407), Paris, France/ Berlin, Germany: Springer.
CONCLUSION
This chapter presented a discussion of the ad-
vances in portable medical devices in general.
The focus was on portable agitation detection,
where previous research was detailed. The design
and implementation of a portable wireless device
for agitation detection was presented. The SVM
based method of agitation detection was discussed.
Experimental results demonstrated the very high
Burges, C. (1998). A tutorial on support vector
machines for pattern recognition.
Data Min-
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doi:10.1023/A:1009715923555
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