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...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| 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 |
| _version_ | 1826195828680687616 |
|---|---|
| author | Bohorquez, Jose L. Yip, Marcus Chandrakasan, Anantha P. Dawson, Joel L. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Bohorquez, Jose L. Yip, Marcus Chandrakasan, Anantha P. Dawson, Joel L. |
| author_sort | Bohorquez, Jose L. |
| collection | MIT |
| description | 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 frequency response and programmable gain. A mixed-signal feedback loop creates a sharp, programmable notch for interference cancelation. A prototype was implemented in 0.18 μm CMOS and the on-chip blocks consume a total of 255 nW - 2.5 μW from a 1.5 V supply depending on noise and bandwidth requirements. |
| first_indexed | 2024-09-23T10:16:07Z |
| format | Article |
| id | mit-1721.1/71833 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:16:07Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/718332022-09-26T16:51:41Z A digitally-assisted sensor interface for biomedical applications Bohorquez, Jose L. Yip, Marcus Chandrakasan, Anantha P. Dawson, Joel L. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Microsystems Technology Laboratories Chandrakasan, Anantha P. Bohorquez, Jose L. Yip, Marcus Chandrakasan, Anantha P. Dawson, Joel L. 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 frequency response and programmable gain. A mixed-signal feedback loop creates a sharp, programmable notch for interference cancelation. A prototype was implemented in 0.18 μm CMOS and the on-chip blocks consume a total of 255 nW - 2.5 μW from a 1.5 V supply depending on noise and bandwidth requirements. United States. Defense Advanced Research Projects Agency Semiconductor Research Corporation. Focus Center Research Program for Center for Circuits and Systems Solutions (C2S2) 2012-07-26T14:20:11Z 2012-07-26T14:20:11Z 2010-06 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-5454-9 978-1-4244-7641-1 INSPEC Accession Number: 11520191 http://hdl.handle.net/1721.1/71833 Bohorquez, Jose L. et al. “A Digitally-assisted Sensor Interface for Biomedical Applications.” Technical Digest of Technical Papers, 2010 IEEE Symposium on VLSI Circuits (VLSIC), IEEE, 2010. 217–218. Web.© 2010 IEEE. https://orcid.org/0000-0002-5977-2748 en_US http://dx.doi.org/10.1109/VLSIC.2010.5560293 2010 IEEE Symposium on VLSI Circuits (VLSIC) 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Bohorquez, Jose L. Yip, Marcus Chandrakasan, Anantha P. Dawson, Joel L. A digitally-assisted sensor interface for biomedical applications |
| title | A digitally-assisted sensor interface for biomedical applications |
| title_full | A digitally-assisted sensor interface for biomedical applications |
| title_fullStr | A digitally-assisted sensor interface for biomedical applications |
| title_full_unstemmed | A digitally-assisted sensor interface for biomedical applications |
| title_short | A digitally-assisted sensor interface for biomedical applications |
| title_sort | digitally assisted sensor interface for biomedical applications |
| url | http://hdl.handle.net/1721.1/71833 https://orcid.org/0000-0002-5977-2748 |
| work_keys_str_mv | AT bohorquezjosel adigitallyassistedsensorinterfaceforbiomedicalapplications AT yipmarcus adigitallyassistedsensorinterfaceforbiomedicalapplications AT chandrakasanananthap adigitallyassistedsensorinterfaceforbiomedicalapplications AT dawsonjoell adigitallyassistedsensorinterfaceforbiomedicalapplications AT bohorquezjosel digitallyassistedsensorinterfaceforbiomedicalapplications AT yipmarcus digitallyassistedsensorinterfaceforbiomedicalapplications AT chandrakasanananthap digitallyassistedsensorinterfaceforbiomedicalapplications AT dawsonjoell digitallyassistedsensorinterfaceforbiomedicalapplications |