Category: health

Best Poster award for Epilsepsy Monitoring Framework

achievements, biomedical, health, research

Dr Jonathan Dan has received the a Best Paper Award at Data Science for the Sciences (DS4S), a conference organized by the Swiss Data Science Center (SDSC) and the University of Bern (UniBE). SzCORE is a framework for the validation of epileptic seizure detection algorithms, another step forward in the ongoing research carried out at (…)

Digipredict: what is a digital twin?

biomedical, carouselvideo, health, internetofthings, presentationvideo, research, wearable

New framework for Epilepsy Benchmarks presented at MHDTE

achievements, biomedical, health, internetofthings, research

Yesterday we presented our work on a unified framework for the validation of epileptic seizure detection algorithms at MHDTE. This should finally give us the tools to build a benchmark of the best algorithms. Check it out on

A Wearable System for Real-Time Detection of Epileptic Seizures

biomedical, health, internetofthings, research

The EPFL Technology Transfer Office has released the following information about e-Glass, a groundbreaking device for epileptic seizure detection, which is open for license. Read more about our work on epilepsy monitoring Despite recent advances in anti-epileptic drugs, one-third of the people with epilepsy continuous to experience seizures. e-Glass is a new wearable system for (…)

x-heep – designing healthcare devices of the future

biomedical, health, internetofthings, research

The advancement of continuous healthcare monitoring depends on the development of new and more efficient ultra-low power wearable platforms as well as new algorithms. However, the teams that develop the algorithms are usually not the same as those that design the platforms, thus, optimization opportunities are often lost in the way. Not less importantly, the (…)

epiPhone – discretely monitoring brain activity

health, internetofthings, presentationvideo, research, wearable

We are proud to present epiPhone, a discreet headset which can monitor brain activity and transmit the data in real time. Today, epilepsy is one of the most common chronic diseases affecting more than 65 million people worldwide. However, no reliable wearable device currently exists for real-time epileptic seizure detection. One of the main challenges (…)

Sensemodi and Nespresso challenge presented at Engineering Industry Day

biomedical, health, internetofthings, research, wearable

Jérôme Thevenot, Matteo Feo and David Atienza participated in the EPFL Engineering Industry Day at the SwissTech on Thursday, 8th March. Jérôme presented ESL spin-off Sensemodi, featuring an in-motion, knee diagnosis platform. David and Matteo presented the Nespresso challenge, where ESL addressed the need to use Machine Learning enabled Artificial Intelligence to identify coffee capsules (…)

Understanding tech will shape the sports leaders of tomorrow

achievements, biomedical, health, research, wearable

ESL has been featured by Sport Business The opportunities afforded by cutting-edge technology in sport have filtered into all aspects of the industry in recent years, from broadcasting to fan experience and athlete training. Such a trend has been highlighted by AISTS’s decision to redesign its flagship Master of Advanced Studies (MAS) in Sport Management (…)

The nervous system as an IoT: David Atienza on brain-inspired healthcare wearables

biomedical, health, internetofthings, presentationvideo, research

CHF 150,000 for smart wearables invented in Switzerland

achievements, biomedical, health, internetofthings, research, thermalaware, wearable

EPFL spin-off Sensemodi, focusing on monitoring joint health, wins the final stage of Venture Kick. Congratulations to the team of founders Tomás Teijeiro Campo, Jerome Thevenot, and David Atienza! Sensemodi is developing a smart wearable device that can analyse thermal, acoustic and kinematic data for fast joint health assessment at any Point of Care. The (…)