Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series

Yuki OKABE; Daisuke KANEMOTO; Osamu MAIDA; Tetsuya HIROSE

doi:10.1587/transfun.2021EAL2099

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Online ISSN : 1745-1337
Print ISSN : 0916-8508

Regular Section

Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series

Yuki OKABE, Daisuke KANEMOTO, Osamu MAIDA, Tetsuya HIROSE

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Keywords: EEG, low-power consumption, compressed sensing, random undersampling, normal distribution

JOURNAL FREE ACCESS

2022 Volume E105.A Issue 10 Pages 1429-1433

DOI https://doi.org/10.1587/transfun.2021EAL2099

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Abstract

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.

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