Journal article
A high-performance 4 nV/√ analog front-end architecture for artefact suppression in local field potential recordings during deep brain stimulation
- Abstract:
-
Objective. Recording of local field potentials (LFPs) during deep brain stimulation (DBS) is necessary to investigate the instantaneous brain response to stimulation, minimize time delays for closed-loop neurostimulation and maximise the available neural data. To our knowledge, existing recording systems lack the ability to provide artefact-free high-frequency (> 100 Hz) LFP recordings during DBS in real time primarily because of the contamination of the neural signals of interest by the s...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Institute of Physics Publishing Publisher's website
- Journal:
- Journal of Neural Engineering Journal website
- Volume:
- 16
- Issue:
- 6
- Publication date:
- 2019-05-31
- Acceptance date:
- 2019-05-31
- DOI:
- EISSN:
-
1741-2552
- ISSN:
-
1741-2560
- Pmid:
-
31151118
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1007302
- UUID:
-
uuid:0415b01f-2740-42cc-ae59-0c35ee047b1a
- Local pid:
- pubs:1007302
- Source identifiers:
-
1007302
- Deposit date:
- 2019-06-10
Terms of use
- Copyright holder:
- IOP Publishing Ltd
- Copyright date:
- 2019
- Notes:
-
© 2019 IOP Publishing Ltd.
As the Version of Record of this article is going to be/has been published on a gold open access basis under a CC BY 3.0 licence, this Accepted Manuscript is available for reuse under a CC BY 3.0 licence immediately.
- Licence:
- CC Attribution (CC BY)
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