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 |
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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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