生物电信号的声光小波处理

IF 0.8 4区物理与天体物理 Q4 PHYSICS, APPLIED

Technical Physics Letters Pub Date : 2024-08-29 DOI:10.1134/s1063785023170236

K. V. Zaichenko, B. S. Gurevich

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引用次数: 0

摘要

摘要--小波分析是研究信息信号特征的最有效方法之一。首次展示了利用声光处理器对信息信号进行小波处理的可能性。证明了在实时模式下实现生物电信号功率谱计算和小波变换的可能性。分析列表描述了其在不同模式下的运行情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Acousto-Optic Wavelet Processing of Bioelectric Signals

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Acousto-Optic Wavelet Processing of Bioelectric Signals

Abstract—Wavelet analysis is one of the most efficient methods of the informative signals characteristics investigation. First shown the possibility of informative signals wavelet processing by means of the acousto-optic processor with time integration. The possibility of the realization of both power spectrum calculation and performance of wavelet transform of bioelectric signals in the real time mode has been proved. The analysis is listed which describes its operation in different modes.

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来源期刊

Technical Physics Letters 物理-物理：应用

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

2-4 weeks

期刊介绍： Technical Physics Letters is a companion journal to Technical Physics and offers rapid publication of developments in theoretical and experimental physics with potential technological applications. Recent emphasis has included many papers on gas lasers and on lasing in semiconductors, as well as many reports on high Tc superconductivity. The excellent coverage of plasma physics seen in the parent journal, Technical Physics, is also present here with quick communication of developments in theoretical and experimental work in all fields with probable technical applications. Topics covered are basic and applied physics; plasma physics; solid state physics; physical electronics; accelerators; microwave electron devices; holography.