As the digitization of the medical healthcare industry progresses at a rapid pace, innovative means of monitoring in the daily routines of patients outside of the hospital, can help their physicians in optimizing treatment.

To accelerate the development of mobile health solutions in the domain of epilepsy, the NeuroTech platform located at the CHUV, in collaboration with the ESL and LTS4 labs from EPFL, and the IIS team from ETHZ, has proposed an ambitious multidisciplinary mobile health R&D plan. Beginning at the end of 2020, the SNSF-financed project, PEDESITE: Personalized Detection of Epileptic Seizure in the Internet of Things (IoT) Era, plans across four years, to deliver wearable, multi-parametric sensing devices, together with a central computing platform designed to tune machine learning technology and lead to optimal personalized epileptic seizure detection and forecasting algorithms.

Several wearables EEG prototypes, including one placed behind the ear for sleep-friendly night-time recording and e-Glasses for non-stigmatising daytime recording, will be developed and integrated with non-EEG biosensors.

The engineering groups will interact with the CHUV, as well as other European hospitals, to collect data from 1200 patient biosignals to develop new personalized medical solutions.

These efforts represent a crucial step towards improving communication between doctors and patients, keeping patients safe from the many dangers associated with epileptic seizures, and can be an individualized support solution to estimate the likelihood of experiencing a seizure during a given time window.