摘要
本文采用神经网络理论研究动态心电数据压缩算法，分析了该算法在实际应用中遇到的困难和问题，提出了多项改进措施，为实现在固态记录器中真正实时存储２４小时动态心电图全部数据。
heory of neural network was applied to improve algorithm for DECG data compression. Difficulties and problems in practical application of neural network algorithm were analysed, and better approaches were proposed. A feasible way was explored to store all real DECG data in 24 hours in a DECG recorder.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
1998年第3期251-256,共6页
Chinese Journal of Biomedical Engineering
