RT Journal Article
T1 A 32-Channel Time-Multiplexed Artifact-Aware Neural Recording System
A1 Perez-Prieto, Norberto
A1 Rodriguez-Vazquez, Angel
A1 Alvarez-Dolado, Manuel
A1 Delgado-Restituto, Manuel
K1 Artifact-aware
K1 auto-ranging
K1 biomedical electronics
K1 CMOS integrated circuits
K1 correlated double sampling
K1 ECoG
K1 LFP
K1 neural recording
K1 neurophysiology
K1 offset reduction loop
K1 spatial delta encoding
K1 system-on-chip
K1 time multiplexing
K1 Chopper instrumentation amplifier
K1 65 nm cmos
K1 Interface
K1 Power
K1 Stimulation
K1 Noise
K1 Cancellation
K1 Circuit
K1 Design
K1 Mode
AB This paper presents a low-power, low-noise microsystem for the recording of neural local field potentials or intracranial electroencephalographic signals. It features 32 time-multiplexed channels at the electrode interface and offers the possibility to spatially delta encode data to take advantage of the large correlation of signals captured from nearby channels. The circuit also implements a mixed-signal voltage-triggered auto-ranging algorithm which allows to attenuate large interferers in digital domain while preserving neural information. This effectively increases the system dynamic range and avoids the onset of saturation. A prototype, fabricated in a standard 180 nm CMOS process, has been experimentally verified in-vitro with cellular cultures of primary cortical neurons from mice. The system shows an integrated input-referred noise in the 0.5-200 Hz band of 1.4 mu V-rms for a spot noise of about 85 nV / root Hz. The system draws 1.5 mu W per channel from 1.2 V supply and obtains 71 dB + 26 dB dynamic range when the artifact-aware auto-ranging mechanism is enabled, without penalising other critical specifications such as crosstalk between channels or common-mode and power supply rejection ratios.
PB Ieee-inst electrical electronics engineers inc
SN 1932-4545
YR 2021
FD 2021-10-01
LK https://hdl.handle.net/10668/28361
UL https://hdl.handle.net/10668/28361
LA en
DS RISalud
RD Apr 7, 2025