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BACKGROUND Mild cognitive impairment (MCI) is a transitional state between normal aging and dementia. Identifying this condition would allow early interventions that may reduce the rate of progression to Alzheimer's disease (AD). We examined the efficacy of a six-month cognitive intervention program (CIP) in patients with MCI and to assess patients'(More)
Entrainment of cortical rhythms to acoustic rhythms has been hypothesized to be the neural correlate of pulse and meter perception in music. Dynamic attending theory first proposed synchronization of endogenous perceptual rhythms nearly 40 years ago, but only recently has the pivotal role of neural synchrony been demonstrated. Significant progress has since(More)
One of the main drawbacks of the Smith predictor (SP) for controlling systems affected by external delays is that the resulting performance relies on the accuracy of the knowledge regarding such delays. Thus, as the mismatch between the true value of the delay and the nominal one employed for control purposes increases the closed loop performance(More)
This paper designs a discrete-time state-feedback output tracking control for the heart rate during treadmill exercise. Initially, the nonlinear model describing the relationship between the heart rate and the speed of a treadmill is discretized. Afterwards, a feedback linearization-based control law is proposed to achieve perfect output tracking. The(More)
In this paper, we develop a multimodel adaptive control strategy to be applied to delay compensation schemes for unstable systems. The strategy is based on intelligent control and the only requirement about the system is that the delay is unknown but bounded. The proposed approach can be used on any delay compensation scheme increasing the robustness of the(More)
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