Madhukar B, Murthy I S
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India.
Comput Biomed Res. 1993 Jun;26(3):310-7. doi: 10.1006/cbmr.1993.1021.
The paper presents a novel algorithm for data compression of single lead electrocardiogram (ECG) data. The method is based on parametric modeling of the discrete cosine transformed ECG signal. Improved high frequency reconstruction is achieved by separately modeling the low and the high frequency regions of the transformed signal. Differential pulse code modulation is applied on the model parameters to obtain a further increase in the compression. Compression ratios up to 1:40 were achieved without significant distortion.
本文提出了一种用于单导联心电图（ECG）数据压缩的新算法。该方法基于离散余弦变换后的ECG信号的参数建模。通过对变换信号的低频和高频区域分别建模，实现了改进的高频重建。对模型参数应用差分脉冲编码调制以进一步提高压缩率。在无明显失真的情况下实现了高达1:40的压缩比。
