Hamilton D J, Thomson D C, Sandham W A
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK.
Med Biol Eng Comput. 1995 Nov;33(6):841-3. doi: 10.1007/BF02523019.
A compression algorithm for electrocardiogram signals is presented, based on an auto-associative neural network. Issues of weight and activation coding are considered, and compression performances of various network sizes are compared. A unique feature is the performance improvement achieved using DC level removal. A comparison with existing techniques is provided.
提出了一种基于自联想神经网络的心电图信号压缩算法。考虑了权重和激活编码问题，并比较了不同网络规模的压缩性能。一个独特的特点是通过去除直流电平实现了性能提升。还与现有技术进行了比较。
