Distributed Compressive Sensing For Vectorcardiogram Telemetry Applications
|關鍵字:||感測壓縮;心電向量圖;分散式感測壓縮;多訊號;compressive sensing;vectorcardiogram;distributed compressive sensing;multi-signal|
With the population structure aging and the improving the quality of health cares, we can combine it with the electrical techniques to offer a portable electrical device so as to offer a service monitoring the status of patients’ vital signals. This issue has become a popular research topic in recent years. Therefore, a signal processing technique with low power consumption applying to the device becomes more and more important. Recently, an emerging sensing technique called compressive sensing to provide a low computational complexity compression method at the sensor node. If we try to exploit compressive sensing to vectorcardiogram telemetry applications in a wireless sensor network in practical uses, there might be more than one person requiring to transmitting VCG signals to the central processing node. Accordingly, conventional compressive sensing which just process one signal copes with this requirement inefficiently. Hence, this thesis will focus on the vectorcardiogram telemetry applications using distributed compressive sensing, and distributed compressive sensing provides an efficient decode method of measurements. Consequently, when the receiver receives many signals at the same time, it can decode utilizing the advantages of common features between signals in an ensemble to reduce the total number of measurements to perfectly recover signals with high probability. From the experiment results, under the same compression ratio of single signal with sufficient number signals, the average root mean square error performance using distributed compressive sensing is reduced than using conventional compressive sensing.
|Appears in Collections:||Thesis|