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This work describes an IoT solution that was designed, developed and implemented to acquire time-series, physiological data, simultaneously from different legacy medical device sources such as the communications ports of a commonly used patient monitoring system and specialized sensors. Data acquired can be further processed to observe anomalies and trends. A communications platform was also implemented...
This paper presents new results on switching control using neural networks. Given a set of candidate controllers, a pair of neural networks is trained to identify the stability region and estimate the closed-loop performance for each controller. The neural network outputs are used in the on-line switching rule to select the controller output to be applied to the system during each control period....
This paper presents the results of simulation and control experiments using a recently proposed method for real-time switching among a pool of controllers. The switching strategy selects the current controller based on neural network estimates of the future system performance for each controller. This neural-network-based switching controller has been implemented for a simulated inverted pendulum...
This work presents the design and construction of a prototype of a distributed system for gait analysis with the aim in helping diagnosis and rehabilitation treatment of elderly population with balance disorders. A suitable set of requirements for the recording and subsequent analysis of the human gait parameters were defined. The prototype should be able to record the movements of the body where...
The description of the postural responses in Parkinson's disease patients when visual information changes from a stable to a moving visual field analyzing the impact on balance in these patients. Limits of Stability, Body center of pressure and balance functional reserve were measured by means of the force platform in 24 Parkinson's patients in stages 1 and 2 of the Boher classification and 19...
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