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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
American Psychiatric Association. (1994). DSM-
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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, &
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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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