Alesanco Alvaro, Olmos Salvador, Istepanian Robert S H, García José
Communications Technology Group, Aragón Institute of Engineering Research, University of Zaragoza, 50018 Zaragoza, Spain.
IEEE Trans Inf Technol Biomed. 2006 Apr;10(2):229-36. doi: 10.1109/titb.2005.856853.
A new real-time compression method for electrocardiogram (ECG) signals has been developed based on the wavelet transform approach. The method is specifically adaptable for packetized telecardiology applications. The signal is segmented into beats and a beat template is subtracted from them, producing a residual signal. Beat templates and residual signals are coded with a wavelet expansion. Compression is achieved by selecting a subset of wavelet coefficients. The number of selected coefficients depends on a threshold which has different definitions depending on the operational mode of the coder. Compression performance has been tested using a subset of ECG records from MIT-BIH Arrhythmia database. This method has been designed for real-time packetized telecardiology scenarios both in wired and wireless environments.
基于小波变换方法,开发了一种用于心电图(ECG)信号的新型实时压缩方法。该方法特别适用于分组化远程心脏病学应用。信号被分割成心搏,并从这些心搏中减去一个心搏模板,从而产生一个残余信号。心搏模板和残余信号通过小波展开进行编码。通过选择小波系数的一个子集来实现压缩。所选系数的数量取决于一个阈值,该阈值根据编码器的操作模式有不同的定义。已使用麻省理工学院 - 贝斯以色列女执事医疗中心(MIT - BIH)心律失常数据库中的一部分心电图记录来测试压缩性能。该方法专为有线和无线环境中的实时分组化远程心脏病学场景而设计。