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A Centralized Real-Time E-Healthcare System for Remote Detection and Prediction of Epileptic Seizures

A Centralized Real-Time E-Healthcare System for Remote Detection and Prediction of Epileptic Seizures
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Author(s): Dung V. Pham (The University of Melboune, Australia), Malka N. Halgamuge (The University of Melbourne, Australia), Thas Nirmalathas (The University of Melbourne, Australia) and Bill Moran (The University of Melbourne, Australia)
Copyright: 2012
Pages: 32
Source title: E-Healthcare Systems and Wireless Communications: Current and Future Challenges
Source Author(s)/Editor(s): Mohamed K. Watfa (University of Wollongong, UAE)
DOI: 10.4018/978-1-61350-123-8.ch019

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Abstract

Epilepsy is one of the most common serious neurological disorders, affecting about 60 million people worldwide. There are currently about 220,000 Epilepsy patients in Australia, a significant proportion of whom are elderly and live in rural areas. In this chapter, we present the applications, requirements, solutions, and further research problems for a Centralized Real-time E-Healthcare System (CREHS) for Epilepsy patients in Australia, utilizing wearable wireless sensors and broadband technologies. Later, the authors propose, optimize, and validate biosensor devices to detect epileptic seizures. In addition, the chapter also provides a detailed description of the structures, features, and detailed implementation scenarios for the system.

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