定点数自适应消噪器在实时体感诱发电位检测中的应用

目的 针对现场可编程门阵列( FPGA)实时系统在体感诱发电位信号检测中的应用，设计一种基于定点数运算的自适应噪声消除器，用于改善体感诱发电位的信噪比。方法对影响定点数算法性能的关键参数进行优化选择，并与基于浮点数运算的自适应噪声消除器的性能进行比较。结果仿真实验表明，定点数自适应噪声消除器的输出与真实体感诱发电位信号...

Application of adaptive noise canceller based on fixed-point algorithm for real-time somatosensory evoked potential monitoring

Objective To efficiently detect somsatosensory evoked potential (SEP) using field programmable gate array (FPGA) real-time system, fixed-point algorithm based adaptive noise canceller (ANC) was designed to improve signal to noise ratio (SNR). Methods With the optimization of important parameters that influence the performance of fixed-point algorithm ANC, the performance was compared to that of floating-point algorithm ANC which was isolated from the effect of quantization error. Results In the simulation study, the outputs of fixed-point-based ANC showed a little higher distortion from real SEP signals than that of floating-point algorithm ANC. In the optimal selection of μ value, fixed-point algorithm ANC could get as good results as floating-point algorithm. Conclusion With appropriate parameter values, fixed-point algorithm ANC is able to improve SNR of SEP as well as that of fixed-point algorithm ANC.