摘要
心电图数据长时间的记录保存需要进行高效压缩。本文研究了心电数据序列特征,结合DCT变换编码的优点,提出了适合于压缩 ECG数据序列的 TERMCT 技术。该技术采用样条差分均值,进行准周期预测特征检测,获得高的QRS检出率,对QRS实施优化次数的平滑插值,有效地压缩了ECG频带,提高了递归 DCT压缩 ECG数据序列的效率。实验证明,在医疗特征与波形保真度很高的情况下, TER_DCT对 ECG数据序列的压缩比可达 15.2。此项研究对 ECG信号记录,传输与综合应用方面有重要的价值。
ECG data need to be compressed efficiently for the requirement of long time recording and preserving. Considering features of ECG and DCT, TER_DCT technique is presented. The technique adopts sector difference mean to implement efficient quasi-periodic predictive QRS detection. The frequency band of QRS is efficiently compressed with approximate optimal interpolation times. The efficiency of recursive DCT is improved with the technique. The experiment reveals that the compression ratio can reach 15.2 with high fidelity of medical feature and waveform. The research has important value to ECG data recording, transmitting, and integrated service applications.
出处
《信号处理》
CSCD
1999年第B12期36-41,共6页
Journal of Signal Processing
关键词
频带压缩
数据压缩
离散余弦变换
心电图
Electrocardiograph (ECG), Discrete cosine transform (DCT), Sector difference mean (SDM), Frequency band compression, Data compression