학술논문

Artifact-Tolerant Opamp-Less Delta-Modulated Bidirectional Neuro-Interface
Document Type
Conference
Source
2018 IEEE Symposium on VLSI Circuits VLSI Circuits, 2018 IEEE Symposium on. :127-128 Jun, 2018
Subject
Components, Circuits, Devices and Systems
Modulation
Wireless communication
Capacitors
Very large scale integration
Neural activity
Electrical stimulation
Quantization (signal)
artifact tolerant
delta-modulation
opamp-less neurostimulator
rail-to-rail DC offset removal
Language
Abstract
We present a 16-channel bidirectional wireless neural interface with arbitrary-waveform neurostimulators triggered by remote closed-loop analysis of simultaneously recorded neural activity. The delta-modulated neural ADC uses no input capacitors and no statically-biased circuits such as opamps, saving both channel area (0.0054mm 2 ) and power (730nW). Delta modulation yields tolerance to input DC offsets of any value, up to the power rail voltage. The differential-difference comparator architecture offers super-GOhm input impedance ensuring that both of the differential inputs transfer functions are well matched, resulting in a superior 78dB rejection of common-mode (CM) signals and artifacts. The highly-oversampling nature of the ADC also renders it insensitive to stimulation artifacts with differential amplitudes of up to 10mV pp , maintaining an ENOB of 9.7 bits and 2.6µV rms integrated input-referred noise. Experimental results validate the key features of the design and include in-vivo recordings in behaving guinea pigs.