Dr Sarah McHale

  • PhD: An IoT Approach to Personalised Remote Monitoring & Management of Epilepsy
  • PGCE Information Technology, Edge Hill University
  • MSc Management of Information Technology, University of Sunderland
  • BA (Hons)Business Computing, University of Sunderland
Sarah McHale

Research Contact Teaching
Internet of Things (IoT), Remote Healthcare Monitoring, Semantic Web Ontologies, Smart Devices

Orcid id
University Repository

Sarah McHale
Department of Computer Science
Edge Hill University
L39 4QP
Phone: 01695 651872
Email: Dr Sarah McHale
Office: THG16
  • Computer Systems Architecture
  • System Penetration Testing
  • Information Security Management


Sarah is a Lecturer in Computer Science at Edge Hill University (EHU). Prior to that, Sarah was an Associate Tutor in Computing at Edge Hill University, she also has extensive teaching experience of Computer Science within the Further Education sector.
Sarah holds a PhD titled, ‘An IoT Approach to Personalised Remote Monitoring & Management of Epilepsy’, which was in collaboration with a specialist NHS trust, the project aimed to develop a personalised approach to caring for long term condition such as epilepsy. In particular, this project investigated the benefits of the Internet of Things (IoT) paradigm’s smart devices for delivering healthcare.
Continuing research, Sarah is interested in further development to identify how new smart devices together with existing devices can be utilised in order to deliver a more personalised approach to monitoring patients, by focusing on devices for healthcare monitoring, such as: EEG, ECG, EMG muscle tone, Movement detector and Pulse Oximeter. By applying her knowledge from subjects like Ontology language development and Cluster analysis a more accurate and refined way of remotely monitoring and managing the ‘individual’ patient can be endorsed.


  • S. A. McHale, E. Pereira, U. Weishmann, M. Hall and H. Fang, 2017. “An IoT Approach to Personalised Remote Monitoring and Management of Epilepsy”, 14th International Symposium on Pervasive Systems Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing, pp. 414-418, 2017.
  • S. A. McHale, E. Pereira, 2021. “An IoT based Epilepsy monitoring model”, Springer series “Advances in Intelligent Systems and Computing” for indexing to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.

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