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​[31.10.2018] Abbas Rahimi received best paper award at BioCAS

 Dr. Abbas Rahimi, an ETH postdoctoral fellow at the Integrated Systems Lab (IIS) and member of the MNEMOSENE project, has received the best paper award at the IEEE Biomedical Circuits and Systems Conference (BioCAS) held in Cleveland (OH, USA) on 17-19 October 2018. The paper, entitled "One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing" and partially funded by H2020 MNEMOSENE, is the result of a collaboration between the Integrated Systems Laboratory at the ETH Zurich and the Sleep-Wake-Epilepsy-Center (SWEC) of the University Department of Neurology at the Inselspital Bern.

The paper describes the design and development of a fast learning algorithm based on hyperdimensional computing (enabling full in-memory computing) for seizure detection in epileptic patients. The algorithm learns from few seizure examples and generalizes well for unseen seizures surpassing the state-of-the-art machine learning methods. All the codes and datasets used in this work are freely available here. 

A. Burrello, K. Schindler, L. Benini, A. Rahimi, "One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing", 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), Cleveland, OH, October 17-19, 2018, eprint arXiv:1809.01926.



This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780215 
Picture
The MNEMOSENE project has received funding from the European Union’s Horizon 2020
Research and Innovation Programme under grant agreement No 780215.
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