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research article

Walsh-Hadamard-Based Orthogonal Sampling Technique for Parallel Neural Recording Systems

Ranjandish, Reza
•
Schmid, Alexandre  
April 1, 2021
Ieee Transactions On Circuits And Systems I-Regular Papers

Walsh-Hadamard based orthogonal sampling of signals is studied in this paper, and an application of this technique is presented. Using orthogonal sampling, a single analog-to-digital converter (ADC) only is sufficient to perform parallel (simultaneous) recording from the sensors. Furthermore, employing Walsh functions as modulation signals, the required bandwidth of the ADC in the proposed system is equal to the bandwidth of a time-multiplexed ADC in a system with identical number of recording channels. Therefore, the bandwidth of the ADC in the proposed system is effectively employed and shared among all the channels. The efficient usage of the ADC bandwidth leads to saving power at the ADC stage and reducing the datarate of the output signal compared to state-of-the-art recording systems based on frequency-division multiplexing. This paper presents the orthogonal sampling technique for neural recording in multi-channel recording systems which is implemented with four recording channels using a 0.18 mu m technology which results in a power consumption of 1.26 mu W/channel at a 0.8 V supply.

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Type
research article
DOI
10.1109/TCSI.2021.3055484
Web of Science ID

WOS:000626527600032

Author(s)
Ranjandish, Reza
Schmid, Alexandre  
Date Issued

2021-04-01

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Published in
Ieee Transactions On Circuits And Systems I-Regular Papers
Volume

68

Issue

4

Start page

1740

End page

1749

Subjects

Engineering, Electrical & Electronic

•

Engineering

•

orthogonal sampling

•

adc sharing

•

neural recording

•

neural activity

•

capacitively-coupled instrumentation amplifier

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-AXS  
Available on Infoscience
April 24, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/177542
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