基于时间积分声光处理器的生物电信号小波分析

K. Zaichenko, B. Gurevich, Vita Sviatkina
{"title":"基于时间积分声光处理器的生物电信号小波分析","authors":"K. Zaichenko, B. Gurevich, Vita Sviatkina","doi":"10.1109/EExPolytech56308.2022.9950986","DOIUrl":null,"url":null,"abstract":"The possibilities of acousto-optic processors for bioelectric signals wavelet processing have been analyzed. It has been found that the most convenient way to provide this, is the application of the acousto-optic circuits with time integration. The obligatory condition which has to be met in this case is the use of the specific carrier signal for both information signal and mother wavelet, which represents the linear frequency modulated (LFM) signal. It allows to provide the frequency resolving power of the device which is about several or decades Hertz, which is enough for the major bioelectric signals. The mentioned above LFM signal, in its turn, is modulated by the information low-frequency signal, and, in the other channel, by the mother wavelet signal. The mathematical expressions which prove that the output signal of the acousto-optic processor with time integration contains data regarding the information wavelet transform, have been listed. Also, the optical circuit of such processor has been shown and described. The fundamental advantage of the considered method is the possibility to obtain the output processed signal using wavelet processing in the real time mode, i.e., simultaneously with bioelectric signal recording.","PeriodicalId":204076,"journal":{"name":"2022 International Conference on Electrical Engineering and Photonics (EExPolytech)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wavelet Analysis of Bioelectric Signals by Means of Acousto-Optic Processors with Time Integration\",\"authors\":\"K. Zaichenko, B. Gurevich, Vita Sviatkina\",\"doi\":\"10.1109/EExPolytech56308.2022.9950986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The possibilities of acousto-optic processors for bioelectric signals wavelet processing have been analyzed. It has been found that the most convenient way to provide this, is the application of the acousto-optic circuits with time integration. The obligatory condition which has to be met in this case is the use of the specific carrier signal for both information signal and mother wavelet, which represents the linear frequency modulated (LFM) signal. It allows to provide the frequency resolving power of the device which is about several or decades Hertz, which is enough for the major bioelectric signals. The mentioned above LFM signal, in its turn, is modulated by the information low-frequency signal, and, in the other channel, by the mother wavelet signal. The mathematical expressions which prove that the output signal of the acousto-optic processor with time integration contains data regarding the information wavelet transform, have been listed. Also, the optical circuit of such processor has been shown and described. The fundamental advantage of the considered method is the possibility to obtain the output processed signal using wavelet processing in the real time mode, i.e., simultaneously with bioelectric signal recording.\",\"PeriodicalId\":204076,\"journal\":{\"name\":\"2022 International Conference on Electrical Engineering and Photonics (EExPolytech)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Electrical Engineering and Photonics (EExPolytech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EExPolytech56308.2022.9950986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Electrical Engineering and Photonics (EExPolytech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EExPolytech56308.2022.9950986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

分析了声光处理器对生物电信号进行小波处理的可能性。研究发现,实现这一目标最方便的方法是采用时间集成的声光电路。在这种情况下必须满足的条件是信息信号和母小波都使用特定的载波信号,即线性调频(LFM)信号。它允许提供设备的频率分辨能力,大约是几十赫兹,这是足够的主要生物电信号。上述LFM信号依次由信息低频信号调制,在另一信道中由母小波信号调制。给出了证明时间积分声光处理器输出信号包含信息小波变换数据的数学表达式。并给出了该处理器的光学电路。所考虑的方法的根本优点是可以在实时模式下使用小波处理获得输出处理信号,即与生物电信号记录同时进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet Analysis of Bioelectric Signals by Means of Acousto-Optic Processors with Time Integration
The possibilities of acousto-optic processors for bioelectric signals wavelet processing have been analyzed. It has been found that the most convenient way to provide this, is the application of the acousto-optic circuits with time integration. The obligatory condition which has to be met in this case is the use of the specific carrier signal for both information signal and mother wavelet, which represents the linear frequency modulated (LFM) signal. It allows to provide the frequency resolving power of the device which is about several or decades Hertz, which is enough for the major bioelectric signals. The mentioned above LFM signal, in its turn, is modulated by the information low-frequency signal, and, in the other channel, by the mother wavelet signal. The mathematical expressions which prove that the output signal of the acousto-optic processor with time integration contains data regarding the information wavelet transform, have been listed. Also, the optical circuit of such processor has been shown and described. The fundamental advantage of the considered method is the possibility to obtain the output processed signal using wavelet processing in the real time mode, i.e., simultaneously with bioelectric signal recording.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信