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1.
Artículo en Inglés | MEDLINE | ID: mdl-24110022

RESUMEN

In this paper we present a detailed example of a wireless body area network (WBAN) scenario utilizing the recent IEEE802.15.6 standard as applied to a multi-accelerometer system for monitoring Parkinson's disease and fall detection. Ultra wideband physical layer and standard security protocols are applied to meet application requirements for data rate and security.


Asunto(s)
Monitoreo Fisiológico/métodos , Enfermedad de Parkinson/patología , Accidentes por Caídas , Redes de Comunicación de Computadores , Humanos , Monitoreo Fisiológico/instrumentación , Enfermedad de Parkinson/metabolismo , Tecnología Inalámbrica
2.
Artículo en Inglés | MEDLINE | ID: mdl-24110027

RESUMEN

In 2002, Federal Communications Commission (FCC) was the first in defining regulations for ultra wideband (UWB) communications followed by Europe and Japan some years later. Focusing on impulse radio (IR) UWB, in 2007 was the time for the first published standard targeting in personal area networks, released by the IEEE. The second IEEE released standard including UWB definitions is targeted for wireless body area networks (WBAN) and was published in 2012. As the wireless communications has been and will be passing through almost any levels in society, the natural step with WBAN is using it in different medical, healthcare and wellbeing applications. The arguments for these are related to the modern lifestyle, in which people have increasingly more free time and are more interested in taking care of their health and wellbeing. Another challenge is the population composition, i.e., aging in developed countries which call for new solutions and procedures, particularly from cost wise. In this paper, we are evaluating UWB receivers based on the IEEE 802.15.6 physical layer definitions and capable of detecting differentially encoded modulation. The evaluation is performed using two different WBAN channel models.


Asunto(s)
Algoritmos , Redes de Comunicación de Computadores/instrumentación , Simulación por Computador , Ondas de Radio , Humanos , Distribución Normal
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