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Abstrakty
Gastric slow waves (SWs) are commonly used for the quantitative assessment of gastric functional disorders. Compared with surface electrogastrography, using of magnetic signals to record SWs can achieve higher-quality signal recording. In this study, we discovered that optically pumped magnetometers (OPM) based on the spin exchange relaxation-free method have comparable weak magnetic detection capabilities to superconducting quantum interference devices but without liquid helium cooling. However, owing to the inevitable interference of low-frequency environmental drift, the characteristic features of SW are obscured, greatly increasing the difficulty in detecting gastric magnetic signals. Therefore, in this study, we constructed an OPM Magnetogastrography (OPM-MGG). We proposed an adaptive filtering architecture combined with environmental drift suppression and a non-stationary signal decomposition method for extracting SW signals. Through controlled human experiments, the results demonstrated that our testing system successfully extracted SW signals in the frequency range of 2-4 cycles per minute. The extracted SW signals exhibited consistent power and time-frequency characteristics with the reported results. This study validates the feasibility of (1) using the OPM-MGG system for capturing SW signals and (2) the proposed processing strategies for identifying ultralow-frequency SW signals. In conclusion, the OPM-MGG system and the signal extraction strategies developed in this study have the potential to provide a wearable technology for bioweak magnetic field measurements, offering new opportunities for both research and clinical applications.
Wydawca
Czasopismo
Rocznik
Tom
Strony
1--8
Opis fizyczny
Bibliogr. 44 poz., rys., wykr.
Twórcy
autor
- School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China
autor
- School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China
autor
- School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China
autor
- School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China
autor
- School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China
- Key Laboratory of Intelligent Sensing Materials and Chip Integration Technology of Zhejiang Province(2021E10022), Hangzhou Innovation Institute of Beihang University, Hangzhou, 300001, China
autor
- School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China
- Key Laboratory of Intelligent Sensing Materials and Chip Integration Technology of Zhejiang Province(2021E10022), Hangzhou Innovation Institute of Beihang University, Hangzhou, 300001, China
Bibliografia
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Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ca890656-f202-4834-8b4d-a35250116fd8