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Electrocardiogram Signals Digital Processing in a Distributed Computing System

机译:分布式计算系统中的心电图信号数字处理

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The aim of the work was to determine the relationship between the workload of the microcontroller measuring the electrocardiogram signals and the data stream from the microcontroller to the central server via the Internet, depending on the distribution of computational operations between them. The electrocardiogram signals were processed in a sequence of independently controlled digital filters, which gradually led to a decrease in data flow. The paper presents the results of modeling the operation of digital electrocardiogram signal processing algorithms for harvard architecture 8-bit RISC single-chip microcontroller in MatLAB environment with an estimation of time computational complexity. Estimates of the computational complexity of each of the stages of signal processing, the load of the microcontroller that implements these stages, as well as estimates of the change in the data stream at the output of the microcontroller when implementing a complete or reduced sequence of stages are given.
机译:这项工作的目的是确定微控制器的工作量与通过因特网从微控制器测量心电图信号的工作量和数据流,具体取决于它们之间的计算操作的分布。在独立控制的数字滤波器序列中处理心电图信号,该滤波器逐渐导致数据流的减小。本文介绍了在Matlab环境中为哈佛架构8位RISC单片机的数字心电图信号处理算法进行了建模的结果,估计了时间计算复杂性。估计信号处理的每个阶段的计算复杂度,实现这些阶段的微控制器的负载,以及在实现完整或减少阶段的微控制器的输出时数据流的变化的估计给出。

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