A digitally-assisted sensor interface for biomedical applications

Acompact, low-power, digitally-assisted sensor interface for biomedical applications is presented. It exploits oversampling and digital design to reduce system area and power, while making the system more robust to interferers. Anti-aliasing is achieved using a charge-sampling filter with a sinc fre...

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Bibliographic Details
Main Authors: Bohorquez, Jose L., Yip, Marcus, Chandrakasan, Anantha P., Dawson, Joel L.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2012
Online Access:http://hdl.handle.net/1721.1/71833
https://orcid.org/0000-0002-5977-2748