Title
An adaptive 16/64 kHz, 9-bit SAR ADC with peak-aligned sampling for neural spike recording
Abstract
This paper presents a novel method and circuit for feature-driven data acquisition in single neuron recording. By dynamically adjusting the phase of the sampling clock in a Successive Approximation Register (SAR) Analogue to Digital Converter (ADC), the samples can be maximally aligned to the spike extrema (peaks). This is achieved by using spike detection to switch from a `coarse' to `fine' sampling clock, and triggering a peak-search algorithm to determine the offset between the peak occurrence and the coarse clock. Subsequent samples are then aligned to the peak by shifting the coarse clock by the measured offset. This adaptive sampling scheme thus allows for improved temporal precision on features of interest (i.e. peaks) whilst maintaining a coarse effective sampling rate, also minimising power consumption. The proposed method reduces the output data bandwidth by approximately 70% in comparison to a fixed-sampling rate data converter that would achieve similar precision in peak alignment. The circuit implementation achieves 9-bit resolution with a 93 fJ/conversion-step energy efficiency in a standard 0.35 μm CMOS technology.
Year
DOI
Venue
2014
10.1109/ISCAS.2014.6865652
ISCAS
Keywords
Field
DocType
cmos integrated circuits,analogue-digital converter,bioelectric potentials,analogue-digital conversion,single neuron recording,neural spike recording,successive approximation register,peak aligned sampling,spike detection,size 0.35 mum,cmos technology,adaptive sar adc,spike extrema,feature driven data acquisition,sampling clock,computer architecture,sorting,bandwidth,capacitors
Computer science,Adaptive sampling,Sampling (signal processing),Data acquisition,CMOS,Electronic engineering,Bandwidth (signal processing),Sampling (statistics),Successive approximation ADC,Offset (computer science)
Conference
ISSN
Citations 
PageRank 
0271-4302
3
0.47
References 
Authors
10
4
Name
Order
Citations
PageRank
Lirong Zheng130.47
Lieuwe B. Leene284.69
Yan Liu33011.70
Timothy G. Constandinou47838.42