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Simulation of an optimized technique based on DS-CDMA for simultaneous transmission of multichannel biosignals

机译:基于DS-CDMA的多声道生物信息同时传输的基于DS-CDMA的优化技术仿真

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摘要

Telemedicine is becoming increasingly, with applications in many areas of healthcare, such as home telecare of the elderly, diagnosis at a distance and robotic surgery. The simultaneous transmission of several leads of biomedical signals should be considered in telemedicine, given the many benefits it brings. Code division multiple access (CDMA) is a multiple access technique that enables users to transmit independent information simultaneously within the same bandwidth. The direct sequence CDMA (DS-CDMA) is a variant of the CDMA technique in which a pseudorandom sequence having a higher bandwidth than the information signal is used to modulate the information signal directly. Biomedical signals are confidential; thus, their transmission must be secured. In this paper we propose a protocol similar to DS-CDMA for the simultaneous transmission of all of the leads of some multichannel biomedical signals. We assigned orthogonal codes to different leads of a signal. The convolution of each lead with the code gives a signal spread over a broad frequency band. All of the spread signals are then mixed to produce a single composite signal. This composite signal is frequency modulated, amplified and transmitted. At the reception, inverse functions to the previous are developed to perform demodulation, demultiplexing and extraction of the physiological signals transmitted. We used the discrete Walsh functions as codes. The results obtained are satisfactory, even in situations where the noise disturbances are significant.
机译:远程医疗越来越多地,在医疗保健的许多领域,例如老年人的家庭远程护理,距离和机器人外科的诊断。考虑到它带来的许多益处,在远程医疗中应考虑同时传输几种生物医学信号引线。码分多址(CDMA)是一种多种接入技术,使用户能够在同一带宽内同时传输独立信息。直接序列CDMA(DS-CDMA)是CDMA技术的变型,其中使用比信息信号更高的带宽的伪随机序列直接调制信息信号。生物医学信号是保密的;因此,必须确保其传输。在本文中,我们提出了一种类似于DS-CDMA的协议,用于同时传输一些多通道生物医学信号的所有引线。我们为信号的不同引线分配了正交码。每个引线的卷积具有代码,使信号传播在宽频带上。然后将所有扩展信号混合以产生单个复合信号。该复合信号是频率调制,放大和传输。在接收中,开发了前面的逆功能以执行发送的生理信号的解调,解复用和提取。我们使用了离散的沃尔什担任代码。即使在噪声干扰显着的情况下,所获得的结果也是如此令人满意的。

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