Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series

Yuki OKABE; Daisuke KANEMOTO; Osamu MAIDA; Tetsuya HIROSE

doi:10.1587/transfun.2021EAL2099

Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series

Yuki OKABE, Daisuke KANEMOTO, Osamu MAIDA, Tetsuya HIROSE

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Summary :

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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.10 pp.1429-1433

Publication Date: 2022/10/01

Publicized: 2022/04/22

Online ISSN: 1745-1337

DOI: 10.1587/transfun.2021EAL2099

Type of Manuscript: LETTER

Category: Measurement Technology

Authors

Yuki OKABE
  Osaka University
Daisuke KANEMOTO
  Osaka University
Osamu MAIDA
  Osaka University
Tetsuya HIROSE
  Osaka University

Keyword

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

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Yuki OKABE, Daisuke KANEMOTO, Osamu MAIDA, Tetsuya HIROSE, "Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series" in IEICE TRANSACTIONS on Fundamentals, vol. E105-A, no. 10, pp. 1429-1433, October 2022, doi: 10.1587/transfun.2021EAL2099.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2099/_p

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@ARTICLE{e105-a_10_1429,
author={Yuki OKABE, Daisuke KANEMOTO, Osamu MAIDA, Tetsuya HIROSE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series},
year={2022},
volume={E105-A},
number={10},
pages={1429-1433},
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.},
keywords={},
doi={10.1587/transfun.2021EAL2099},
ISSN={1745-1337},
month={October},}

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TY - JOUR
TI - Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1429
EP - 1433
AU - Yuki OKABE
AU - Daisuke KANEMOTO
AU - Osamu MAIDA
AU - Tetsuya HIROSE
PY - 2022
DO - 10.1587/transfun.2021EAL2099
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2022
AB - 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.
ER -