本文的主要内容包括基于多维稀疏估计的心电信号压缩算法设计和心电图实时压缩系统的DSP硬件实现两部分。
This thesis is composed of an ECG compression algorithm based on multiple sparse decompositions and its real-time application on DSP system.
本研究提出了一种新的心电信号压缩方法，该方法对心电数据进行离散余弦变换(DCT)并对DCT变换的结果进行二级矢量量化。
In this article, a new ECG compression method applying 2-step vector quantization (VQ) on DCT coefficients of ECG data was introduced.
该系统采用了实时自适应ecg数据压缩算法(MFAN)、最优编码和大容量动态存储器等技术，可存储长达24小时的心电信号。
It can record and monitor ECG signal continuously up to 24 hours a real-time ECG compression algorithm (MFAN), DRAM technique and optimal coding method are presented.
通过嵌入式软件编程实现了心电信号的采集存储、实时压缩和无线传输。
Sampling, compression and wireless transportation of multi-lead ECG signals are accomplished by embedded system programming.
硬件设计完成了以TI公司TMS320VC5509A芯片为核心的心电信号实时采集压缩系统，以实现所提出的压缩算法。
The DSP system, using TMS320VC5509A chip of TI as the kernel, is designed to compress ECG signals in real time with the presented method.
最后将一种新的信号处理方法——稀疏分解应用于多导联心电信号的压缩。
Finally, the novel signal processing method - sparse decomposition is applied to our problem.
最后将一种新的信号处理方法——稀疏分解应用于多导联心电信号的压缩。
Finally, the novel signal processing method - sparse decomposition is applied to our problem.
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