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Telemonitoring System of Neurological Signs in a Health Telematique Network

Telemonitoring System of Neurological Signs in a Health Telematique Network
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Author(s): Silviu Folea (Technical University of Cluj-Napoca, Romania), Camelia Avram (Technical University of Cluj-Napoca, Romania), Sorin Vidican (Neurosurgery Clinique Cluj-Napoca, Romania)and Adina Astilean (Technical University of Cluj-Napoca, Romania)
Copyright: 2012
Pages: 22
Source title: Emerging Communication Technologies for E-Health and Medicine
Source Author(s)/Editor(s): Joel J.P.C. Rodrigues (Senac Faculty of Ceará, Fortaleza-CE, Brazil; Instituto de Telecomunicações, Portugal)
DOI: 10.4018/978-1-4666-0909-9.ch006

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Abstract

The paper presents a new, experimental, wireless tremor telemonitoring system composed of an optional variable number of portable devices integrating three-axis acceleration mini-sensors which are connected to very small dimensions acquisition systems with Wi-Fi transmission capabilities. The main advantages of the design system consist of the possibilities to monitor simultaneously many body parts of one or multiple subjects on local or more extended areas both for scheduled assessments and in an everyday life environment. Possible applications of the presented experimental system, considered as a part of a health telematic network, consist of delivering supplementary, consistent sets of data to clinicians in order to reliably assess patients’ state in home and community settings, over longer periods of time. This system consists of delivering new data necessary for differential diagnosis of different types of tremors, or to precise different stages of illness in a health telematic network. The multiple simultaneous measuring capabilities and the extended observation time period could cover eventually neglected aspects related to occasional, temporary, or an intermittent tremor. The Wi-Fi DAQ proposed system’s novelty, in contrast with existing Wi-Fi solutions, is its ultra low power Wi-Fi capability, which makes it suitable for sensing applications where battery power management is critical.

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