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Structured sampling and recovery of iEEG signals

Baldassarre, Luca and Aprile, Cosimo and Shoaran, Mahsa and Leblebici, Yusuf and Cevher, Volkan (2015) Structured sampling and recovery of iEEG signals. In: IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE , Piscataway, NJ, pp. 269-272. ISBN 978-1-4799-1962-8.

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Wireless implantable devices capable of monitoring the electrical activity of the brain are becoming an important tool for understanding, and potentially treating, mental diseases such as epilepsy and depression. Compressive sensing (CS) is emerging as a promising approach to directly acquire compressed signals, allowing to reduce the power consumption associated with data transmission. To this end, we propose an efficient CS scheme which exploits the structure of the intracranial EEG signals, both in sampling and recovery. Our structure-aware approach is conceptually simple to implement in hardware and yields state-of-the-art compression rates up to 32× with high reconstruction quality, as illustrated on two human iEEG datasets.

Item Type:Book Section
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URLURL TypeDescription DOIArticle
Shoaran, Mahsa0000-0002-6426-4799
Additional Information:© 2015 IEEE. This work was supported in part by the European Commission under grant ERC Future Proof and by the Swiss Science Foundation under grants SNF 200021-146750 and SNF CRSII2-147633. The authors would like to thank Baran Gözcü for discussions on tuning the probability function for sampling indices.
Funding AgencyGrant Number
European Research Council (ERC)UNSPECIFIED
Swiss National Fund (SNF)SNF 200021-146750
Swiss National Fund (SNF)SNF CRSII2-147633
Record Number:CaltechAUTHORS:20160826-113745237
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Official Citation:L. Baldassarre, C. Aprile, M. Shoaran, Y. Leblebici and V. Cevher, "Structured sampling and recovery of iEEG signals," Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 IEEE 6th International Workshop on, Cancun, 2015, pp. 269-272. doi: 10.1109/CAMSAP.2015.7383788 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:69972
Deposited By: Tony Diaz
Deposited On:26 Aug 2016 19:06
Last Modified:09 Mar 2020 13:19

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