Examinando por Autor "Hernandez-Tamames, J.A"
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Ítem A Reconfigurable, Wearable, Wireless ECG System(Proceedings of the 29th Annual International Conference of the IEEE EMBS, 2007-08-23) Borromeo, Susana; Rodríguez-Sánchez, María Cristina; Machado, Felipe; Hernandez-Tamames, J.A; Prieta, R de laAbstract:New emerging concepts as wireless hospital, mobile healthcare or wearable telemonitoring require the development of bio-signal acquisition devices to be easily integrated into the clinical routine. In this work, we present a new system for Electrocardiogram (ECG) acquisition and its processing, with wireless transmission on demand (either the complete ECG or only one alarm message, just in case a pathological heart rate detected). Size and power consumption are optimized in order to provide mobility and comfort to the patient. We have designed a modular hardware system and an autonomous platform based on a Field-Programmable Gate Array (FPGA) for developing and debugging. The modular approach allows to redesign the system in an easy way. Its adaptation to a new biomedical signal would only need small changes on it. The hardware system is composed of three layers that can be plugged/unplugged: communication layer, processing layer and sensor layer. In addition, we also present a general purpose end-user application developed for mobile phones or Personal Digital Assistant devices (PDAs).Ítem Objetive Assessment of olfactory function using Functional Magnetic Resonance (fMRI). A device for generating automated olfactory stimuli(MeMeA 2009. IEEE International Workshop on Medical Measurements and Applications. IEEE Catalog Number: CFP09MEA-CDR, 2009-05-29) Borromeo, Susana; Hernandez-Tamames, J.A; Luna, G; Machado, Felipe; Malpica, NIn this work, a device for generating automated olfactory stimuli in functional magnetic resonance imaging (fMRI) studies is described. The novel issues of our design are: synchronization between the acquisition and the olfactory task, automated control of experimental parameters (odorants sequences, frequency, time and concentration of stimuli). Finally, we present the preliminary results obtained on a General Electric 3 Tesla MRI scanner belong to The Alzheimer Project of the Fundación Reina Sofía.