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An EMD Based Breathing and Heartbeat Monitoring System

机译:基于EMD的呼吸和心跳监测系统

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摘要

To provide a long-term monitoring, low cost, easy operation, and accurate physiological signal detection system, this paper proposes an approach based on Empirical Mode Decomposition (EMD) algorithm for breathing and heartbeat monitoring. The control section of system is based on DSP platform, and interactive interface is based on android platform. This paper optimizes the traditional EMD algorithm and makes EMD algorithm can be run on the DSP platform in real time, Experimental results show that the proposed system has high precision and can be operated easily. And this viable method of breathing and heartbeat monitoring system can be applied in a hospital or home for health care.
机译:为了提供一种长期监测,低成本,易于操作且准确的生理信号检测系统,本文提出了一种基于经验模式分解(EMD)算法的呼吸和心跳监测方法。系统的控制部分基于DSP平台,交互界面基于android平台。本文对传统的EMD算法进行了优化,使EMD算法可以在DSP平台上实时运行,实验结果表明,该系统具有较高的精度,并且易于操作。而且这种可行的呼吸和心跳监测系统方法可以在医院或家庭中用于医疗保健。

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