An IoT Based Epilepsy Monitoring Model

S. A. McHale*, E. Pereira

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2021 Computing Conference
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Print)9783030801281
Publication statusPublished - 16 Jul 2021
EventComputing Conference, 2021 - Virtual, Online
Duration: 15 Jul 202116 Jul 2021

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceComputing Conference, 2021
CityVirtual, Online


  • Healthcare
  • IoT
  • Personalisation


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