Premium
A modified whitening transform for the reduction of spatial data redundancy in multichannel neural recording implants
Author(s) -
Yazdani Niloofar,
Rashidi Amin,
Sodagar Amir M.
Publication year - 2018
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.2520
Subject(s) - cmos , redundancy (engineering) , microsystem , computer science , computer hardware , reduction (mathematics) , electronic engineering , embedded system , engineering , mathematics , materials science , geometry , nanotechnology , operating system
Summary This paper proposes an approach for the reduction of redundant spatial information recorded by implantable high‐density neural recording microsystems. To realize the proposed approach, a modified whitening transform is introduced, which is efficient enough (in hardware implementation) to comply with the hardware design constraints associated with implantable microsystems. Based on the proposed approach, a 32‐channel processor is designed, prototyped, and tested for a library of both pre‐recorded and synthesized multichannel single‐unit neural signals. Designed in a 0.18‐μm standard CMOS technology, the processor occupies 0.3 mm 2 of silicon area and consumes 238 μW @1.8 V/1.28 MHz.