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Implementation of MATLAB Modular Processing System for Biological Signals

机译:生物信号MATLAB模块化处理系统的实现

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A biological signal is a weak signal, so it is necessary to find new or improve methods of its processing. The paper proposes the implementation of the modular signal processing system for processing and further analysis of the most commonly used biological signals in diagnostics, such as electrocardiogram, electromyogram, electroencephalogram, phonocardio-gram or pulse wave but it is possible to employ it also in other signal processing areas. Based on contemporary literature, a wide range of the processing and filtering methods are embedded (digital filters, adaptive filters, wavelet transform, independent and principal component analysis etc.) into user-friendly interface, serving for the testing of the accuracy and suitability of the individual techniques for the signal processing. The software is designed to ensure as greatest as possible area of the biological signal processing so that basic modifications or analysis of any one-dimensional biological signal can be made.
机译:生物信号是弱信号,因此有必要找到其处理的新方法或改进方法。本文提出了用于处理的模块化信号处理系统,进一步分析诊断中最常用的生物信号,例如心电图,电灰度,脑电图,对音乐室克或脉搏波,但也可以在其他方面使用它信号处理区域。基于当代文献,嵌入了各种加工和过滤方法(数字滤波器,自适应滤波器,小波变换,独立和主成分分析等)进入用户友好的界面,用于测试准确性和适用性信号处理的个性化技术。该软件旨在确保尽可能最大的生物信号处理区域,从而可以制造任何一维生物信号的基本修改或分析。

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