基于SONG自适应增量调制的PPG信号压缩

N. Kostov, H. Zhivomirov
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引用次数: 2

摘要

本文总结了利用宋自适应增量调制(SADM)实现光体积脉搏波(PPG)信号压缩的案例研究结果。根据信噪比和归一化均方根差百分比,SADM的性能针对PPG信号进行了优化。当使用N位模数转换器进行PPG数据采集时,使用这种每采样1比特的算法可以实现1:N的压缩比。本文给出的结果是通过使用真实的PPG信号数据库进行计算机模拟得到的。这一贡献的可能应用包括医疗传感器网络、远程医疗、数据存储等领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compression of PPG Signals with SONG Adaptive Delta Modulation
In this paper, results of a case study focused on the implementation of the SONG adaptive delta modulation (SADM) for compression of photoplethysmography (PPG) signals are summarized. The performance of the SADM is optimized for operation with PPG signals with respect to the signal-to-noise ratio and the normalized percentage root-mean-square difference. By using of this 1 bit per sample algorithm compression ratios of 1:N could be achieved when an N-bit analog-to-digital convertor is used for the PPG data acquisition. The presented results are obtained through computer simulations using real-world PPG signal databases. The possible applications of this contribution include the fields of medical sensor networks, telemedicine, data storage etc.
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