Study on Adaptive Noise Canceller Based on Fized-Point Algorithm for Real-Time Somatosensory Evoked Potential Monitoring
The objective of this study was to analyze the performance of fixed-point adaptive noise canceller (ANC) for SEP measurement, as well as compare with the outputs of floating-point ANC at 16 bits word-length. ANC technique has been reported powerful to improve signal to noise ratio (SNR) of somsatosensory evoked potential (SEP). For the sake of real-time monitoring of intraoperative SEP, both fixed-point and floatingpoint algorithms can be applied to Field Programmable Gate Array (FPGA) design. However, the ability of fixed-point ANC to improve the SNR of SEP is still dubious. In simulation, SEP signals from 7 patients were included. The results showed that outputs of fixed-point ANC had higher distortion index (DI) from real SEP signals than that of floating-point ANC at the same step-size parameter (μ), and optimal range of μ value was different in fixed-point algorithm from floating-point algorithm at the same DI. However, the two algorithms had very similar DI trend curves when μ value and trail number varied in a certain range, the fixed-point ANC can extract SEP from raw signals as effectively as floating-point ANC, compared with ensemble averaging SEP of 300 raw SEP signals. It would be helpful to design fixed-point ANC based on FPGA for real-time monitoring of intraoperative SEP.
somsatosensory evoked potential fized-point algorithm step-size parameter adaptive noise canceller
Hongyan Cui Chongfei Shen Xiaobo Xie Yong Hu Keith DK Luk Yong Hu
Institute of Biomedical Engineering Chinese Academy of Medical Sciences Tianjin, 300192, China Department of Orthopaedics and Traumatology The University of Hong Kong Pokfulam, Hong Kong, China
国际会议
上海
英文
2213-2216
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）