Kim Byung S, Yoo Sun K, Lee Moon H
Graduate School of Biomedical Engineering, Yonsei University, Seoul, South Korea.
IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):77-83. doi: 10.1109/titb.2005.856854.
The delay performance of compression algorithms is particularly important when time-critical data transmission is required. In this paper, we propose a wavelet-based electrocardiogram (ECG) compression algorithm with a low delay property for instantaneous, continuous ECG transmission suitable for telecardiology applications over a wireless network. The proposed algorithm reduces the frame size as much as possible to achieve a low delay, while maintaining reconstructed signal quality. To attain both low delay and high quality, it employs waveform partitioning, adaptive frame size adjustment, wavelet compression, flexible bit allocation, and header compression. The performances of the proposed algorithm in terms of reconstructed signal quality, processing delay, and error resilience were evaluated using the Massachusetts Institute of Technology University and Beth Israel Hospital (MIT-BIH) and Creighton University Ventricular Tachyarrhythmia (CU) databases and a code division multiple access-based simulation model with mobile channel noise.
当需要进行对时间要求严格的数据传输时，压缩算法的延迟性能就显得尤为重要。在本文中，我们提出了一种基于小波的心电图（ECG）压缩算法，该算法具有低延迟特性，适用于通过无线网络进行远程心脏病学应用的即时、连续ECG传输。所提出的算法尽可能减小帧大小以实现低延迟，同时保持重建信号质量。为了实现低延迟和高质量，它采用了波形分割、自适应帧大小调整、小波压缩、灵活的比特分配和头部压缩。使用麻省理工学院和贝斯以色列女执事医疗中心（MIT-BIH）以及克里顿大学室性快速心律失常（CU）数据库，以及带有移动信道噪声的基于码分多址的仿真模型，对所提出算法在重建信号质量、处理延迟和抗误码能力方面的性能进行了评估。
