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Intelligent Computing pp 192–207Cite as

An IoT Based Epilepsy Monitoring Model

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 285))

Abstract

The emerging approach of personalised healthcare is known to be facilitated by the Internet of Things (IoT) and sensor-based IoT devices are in popular demand for healthcare providers due to the constant need for patient monitoring. In epilepsy, the most common and complex patients to deal with correspond to those with multiple strands of epilepsy, it is these patients that require long term monitoring assistance. These extremely varied kind of patients should be monitored precisely according to their key symptoms, hence specific characteristics of each patient should be identified, and medical treatment tailored accordingly. Consequently, paradigms are needed to personalise the information being defined by the condition of these patients each with their very individual signs and symptoms of epilepsy. Therefore, by focusing upon personalised parameters that make epilepsy patients distinct from each other this paper proposes an IoT based Epilepsy monitoring model that endorses a more accurate and refined way of remotely monitoring and managing the ‘individual’ patient.

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Authors and Affiliations

  1. Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK

    S. A. McHale & E. Pereira

Authors
  1. S. A. McHale
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  2. E. Pereira
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Correspondence to S. A. McHale .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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McHale, S.A., Pereira, E. (2021). An IoT Based Epilepsy Monitoring Model. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-030-80129-8_15

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