| dc.contributor.author | Verma, Naveen | |
| dc.contributor.author | Shoeb, Ali H. | |
| dc.contributor.author | Chandrakasan, Anantha P. | |
| dc.contributor.author | Guttag, John V. | |
| dc.date.accessioned | 2010-12-21T20:36:48Z | |
| dc.date.available | 2010-12-21T20:36:48Z | |
| dc.date.issued | 2009-08 | |
| dc.date.submitted | 2009-06 | |
| dc.identifier.isbn | 978-1-4244-3307-0 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/60344 | |
| dc.description.abstract | Continuous on-scalp EEG monitoring provides a non-invasive means to detect the onset of seizures in epilepsy patients, but cables from the scalp pose a severe strangulation hazard during convulsions. Since the power of transmitting the EEG wirelessly is prohibitive, a complete SoC is presented, performing lowpower EEG acquisition, digitization, and local digital-processing to extract detection features, reducing the transmission-rate by 43x. To maximize power-efficiency, the acquisition LNA operates at the lowest reported VDD (of 1V, drawing 3.5muW), but is able to reject offsets (characteristic of metal-electrodes) that are even larger than the supply voltage. Importantly, its topology simultaneously optimizes noise-efficiency and input-impedance to maximize electrode signal-integrity, and it uses switch-capacitor transformers to improve the noise and manufactureabilty of large on-chip resistors. The complete SoC generates EEG featurevectors every 2sec, consuming a total of 9muJ per feature-vector. | en_US |
| dc.description.sponsorship | Intel Foundation (Ph.D. Fellowship Program) | en_US |
| dc.description.sponsorship | Natural Sciences and Engineering Research Council of Canada | en_US |
| dc.description.sponsorship | Massachusetts Institute of Technology. Center for Integrated Circuits and Systems | en_US |
| dc.description.sponsorship | National Science Council of Taiwan | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.relation.isversionof | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5205304 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | IEEE | en_US |
| dc.title | A Micro-power EEG acquisition SoC with integrated seizure detection processor for continuous patient monitoring | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Verma, Naveen et al. “A Micro-power EEG acquisition SoC with integrated seizure detection processor for continuous patient monitoring.” VLSI Circuits, 2009 Symposium on. 2009. 62-63. ©2009 IEEE. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Microsystems Technology Laboratories | en_US |
| dc.contributor.approver | Chandrakasan, Anantha P. | |
| dc.contributor.mitauthor | Verma, Naveen | |
| dc.contributor.mitauthor | Shoeb, Ali H. | |
| dc.contributor.mitauthor | Chandrakasan, Anantha P. | |
| dc.contributor.mitauthor | Guttag, John V. | |
| dc.relation.journal | 2009 Symposium on VLSI Circuits | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| dspace.orderedauthors | Verma, Naveen; Shoeb, Ali; Guttag, John V.; Chandrakasan, Anantha P. | |
| dc.identifier.orcid | https://orcid.org/0000-0003-0992-0906 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-5977-2748 | |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |