MEDIC: medical embedded device for individualized care.
OBJECTIVE
Presented work highlights the development and initial validation of a medical embedded device for individualized care (MEDIC), which is based on a novel software architecture, enabling sensor management and disease prediction capabilities, and commercially available microelectronic components, sensors and conventional personal digital assistant (PDA) (or a cell phone).


METHODS
In this paper, we present a general architecture for a wearable sensor system that can be customized to an individual patient's needs. This architecture is based on embedded artificial intelligence that permits autonomous operation, sensor management and inference, and may be applied to a general purpose wearable medical diagnostics.


RESULTS
A prototype of the system has been developed based on a standard PDA and wireless sensor nodes equipped with commercially available Bluetooth radio components, permitting real-time streaming of high-bandwidth data from various physiological and contextual sensors. We also present the results of abnormal gait diagnosis using the complete system from our evaluation, and illustrate how the wearable system and its operation can be remotely configured and managed by either enterprise systems or medical personnel at centralized locations.


CONCLUSIONS
By using commercially available hardware components and software architecture presented in this paper, the MEDIC system can be rapidly configured, providing medical researchers with broadband sensor data from remote patients and platform access to best adapt operation for diagnostic operation objectives.
Wu
Winston H
WH
University of California, Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095, USA. winston@ee.ucla.edu
Bui
Alex A T
AA
Batalin
Maxim A
MA
Au
Lawrence K
LK
Binney
Jonathan D
JD
Kaiser
William J
WJ
D001185:Artificial Intelligence; D003195:Computer Communication Networks; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D005684:Gait / Q000502:physiology; D020233:Gait Disorders, Neurologic / Q000175:diagnosis; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods