Category: biomedical
EPFL Joins Sony’s Sensing Solution University Collaboration Program
Article by Jéssica Paiva Santos of Sony Sony’s Sensing Solution University Collaboration Program is excited to announce its partnership with the École Polytechnique Fédérale de Lausanne (EPFL), Embedded Systems Laboratory (ESL). This collaboration is all about fueling student-driven innovation in IoT and sensing technology, and it brings together Sony’s Spresense platform and EPFL’s tech-savvy (…)
ESL-led project given award by the SDSC
A team led by Dr Jonathan Dan of the EPFL Embedded Systems Lab won the prize for Best Research Data Infrastructure at the Open Research Data for the Sciences hackathon, organised by the Swiss Data Science Center. The team developed a research data infrastructure to benchmark epileptic seizure detection algorithms on private datasets. The platform (…)
BiomedBench to be published in TinyML special edition
We are delighted to announce that our latest paper on BiomedBench has been accepted for a special edition on TinyML in : IEEE Design & Test The paper is available in pre-print here: BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables Samakovlis, Dimitrios; Albini, Stefano; Rodríguez Álvarez, Rubén; Constantinescu, Denisa-Andreea; Schiavone, Pasquale (…)
Landmark award for EcoCloud’s directors, old and new
Prof. Giovanni De Micheli, head of the Integrated Systems Laboratory (LSI), has taken over the scientific direction of the EPFL EcoCloud Center from Prof. David Atienza, head of the Embedded Systems Laboratory (ESL). Prof. De Micheli previously founded and directed the EPFL Integrated Systems Center (SI), and was co-founder and Program Leader of the Nano-Tera.ch (…)
OpenScience video features CoughVid Dataset
The EPFL OpenScience Movement has featured the dataset of our CoughVid project as an example of how to keep data open to use by all scientists around the world: Read more about CoughVid and the CoughVid Dataset
Best Poster award for Epilsepsy Monitoring Framework
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 (…)
HEEPocrates featured in EUROPRACTICE report
An article on the HEEPocrates chip has been published in the EUROPRACTICE Activity Report 2023. EUROPRACTICE was launched by the European Commission in 1995 as a successor of EUROCHIP (1989-1995) to enhance European industrial competitiveness in the global market. A detailed breakdown of the chip and its component processes and features is presented in the (…)
Digipredict: what is a digital twin?
New framework for Epilepsy Benchmarks presented at MHDTE
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 https://eslweb.epfl.ch/epilepsybenchmarks/
A Wearable System for Real-Time Detection of Epileptic Seizures
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 (…)