Fu Yongji, Bryan Hallberg S, Yang Isaac, Lai Kyle
Sharp Laboratories of America, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:174-7. doi: 10.1109/IEMBS.2010.5627482.
A signal quality classification algorithm is presented to evaluate signal quality in ambulatory monitoring system. Acoustic based signal is classified as good signal, weak signal or noisy signal. Certain features in the acquired signal are extracted and analyzed to differentiate the class of signal quality. With this classification, wrong physiological estimation due to poor signal quality can be eliminated to avoid wrong conclusions and instructions in the ambulatory system.
提出了一种信号质量分类算法，用于评估动态监测系统中的信号质量。基于声学的信号被分类为良好信号、弱信号或噪声信号。提取并分析采集信号中的某些特征，以区分信号质量类别。通过这种分类，可以消除由于信号质量差导致的错误生理估计，从而避免动态系统中得出错误结论和发出错误指令。
