An IoT Approach to Personalised Remote Monitoring and Management of Epilepsy

McHale, Sarah; Peireira, Ella; Weishmann, Udo; Hall, Mark and Fang, Hui (2017). An IoT Approach to Personalised Remote Monitoring and Management of Epilepsy. In: 2017 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 (ISPAN-FCST-ISCC), Conference Publishing Services, pp. 414–418.



Most current studies of epileptic seizure detection disclose that "Despite the design of new anti-epileptic drugs, drug resistant epilepsy still lacks an ultimate solution" [1]. The Internet of Things (IoT) provides a timely chance for a more personalised approach to the monitoring and management of epilepsy. This is by integrating smart devices deployed at home and personal patient data into a unified monitoring system. However, because the data collected from monitoring epilepsy patients in hospital is constrained and the data semantic of the devices and patient are not unified, the integration of such data into meaningful information is difficult. A personalised approach has the potential to significantly improve the patients' daily lives whose seizures cannot be controlled by either drugs or surgery. This paper, provides an overview of a proposed personalised approach to not only promote this unification between patient data and devices but also to advocate that 'not one device fits all'. This way a personalised monitoring plan (PMP) for each individual epilepsy patient can be realised.

Viewing alternatives


Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions
No digital document available to download for this item

Item Actions