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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

Dung V. Pham, Malka N. Halgamuge, Thas Nirmalathas, Bill Moran
Copyright: © 2013 |Pages: 31
ISBN13: 9781466627703|ISBN10: 1466627700|EISBN13: 9781466627710
DOI: 10.4018/978-1-4666-2770-3.ch017
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MLA

Pham, Dung V., et al. "A Centralized Real-Time E-Healthcare System for Remote Detection and Prediction of Epileptic Seizures." User-Driven Healthcare: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 326-356. https://doi.org/10.4018/978-1-4666-2770-3.ch017

APA

Pham, D. V., Halgamuge, M. N., Nirmalathas, T., & Moran, B. (2013). A Centralized Real-Time E-Healthcare System for Remote Detection and Prediction of Epileptic Seizures. In I. Management Association (Ed.), User-Driven Healthcare: Concepts, Methodologies, Tools, and Applications (pp. 326-356). IGI Global. https://doi.org/10.4018/978-1-4666-2770-3.ch017

Chicago

Pham, Dung V., et al. "A Centralized Real-Time E-Healthcare System for Remote Detection and Prediction of Epileptic Seizures." In User-Driven Healthcare: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 326-356. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2770-3.ch017

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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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