Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series

We propose a sampling method that incorporates a normally distributed sampling series for EEG measurements using compressed sensing. We confirmed that the ADC sampling count and amount of wirelessly transmitted data can be reduced by 11% while maintaining a reconstruction accuracy similar to that of...

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Veröffentlicht in:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Communications and Computer Sciences, 2022/10/01, Vol.E105.A(10), pp.1429-1433
Hauptverfasser: OKABE, Yuki, KANEMOTO, Daisuke, MAIDA, Osamu, HIROSE, Tetsuya
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container_title IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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creator OKABE, Yuki
KANEMOTO, Daisuke
MAIDA, Osamu
HIROSE, Tetsuya
description We propose a sampling method that incorporates a normally distributed sampling series for EEG measurements using compressed sensing. We confirmed that the ADC sampling count and amount of wirelessly transmitted data can be reduced by 11% while maintaining a reconstruction accuracy similar to that of the conventional method.
doi_str_mv 10.1587/transfun.2021EAL2099
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subjects compressed sensing
EEG
Electroencephalography
low-power consumption
Normal distribution
random undersampling
Sampling methods
title Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series
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