Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series

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
Format: Artikel
Sprache:eng
Schlagworte:
compressed sensing
EEG
Electroencephalography
low-power consumption
Normal distribution
random undersampling
Sampling methods
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Zusammenfassung: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.
ISSN:0916-8508
1745-1337
DOI:10.1587/transfun.2021EAL2099