Low Power Programmable Gain Analog to Digital Converter for Integrated Neural Implant Front End

A Zjajo, C Galuzzi, TGRM van Leuken

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


Integrated neural implants interface with the brain using biocompatible electrodes to provide high yield cell recordings, large channel counts and access to spike data and/or field potentials with high signal-to-noise ratio. By increasing the number of recording electrodes, spatially broad analysis can be performed that can provide insights on how and why neuronal ensembles synchronize their activity. However, the maximum number of channels is constrained by noise, area, bandwidth, power, thermal dissipation and the scalability and expandability of the recording system. In this chapter, we characterize the noise fluctuations on a circuit-architecture level for efficient hardware implementation of programmable gain analog to digital converter for neural signal-processing. This approach provides key insight required to address signal-to-noise ratio, response time, and linearity of the physical electronic interface. The proposed methodology is evaluated on a prototype converter designed in standard single poly, six metal 90-nm CMOS process.
Original languageEnglish
Title of host publicationBiomedical Engineering Systems and Technologies
Subtitle of host publication8th International Joint Conference, BIOSTEC 2015, Revised Selected Papers
EditorsA Fred, H Gamboa, D Elias
Place of PublicationCham
Number of pages16
ISBN (Electronic)978-3-319-27707-3
ISBN (Print)978-331927706-6
Publication statusPublished - 2015
EventBIOSTEC 2015, Lisbon, Portugal - Dordrecht
Duration: 12 Jan 201515 Jan 2015

Publication series

NameCommunications In Computer and Information Science
ISSN (Print)1865-0929


ConferenceBIOSTEC 2015, Lisbon, Portugal


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