Department and Institute of Electronic Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan, Republic of China,
J Med Syst. 2015 Sep;39(9):88. doi: 10.1007/s10916-015-0267-6. Epub 2015 Jul 26.
The study aimed to develop a real-time electromyography (EMG) signal acquiring and processing device that can acquire signal during electrical stimulation. Since electrical stimulation output can affect EMG signal acquisition, to integrate the two elements into one system, EMG signal transmitting and processing method has to be modified. The whole system was designed in a user-friendly and flexible manner. For EMG signal processing, the system applied Altera Field Programmable Gate Array (FPGA) as the core to instantly process real-time hybrid EMG signal and output the isolated signal in a highly efficient way. The system used the power spectral density to evaluate the accuracy of signal processing, and the cross correlation showed that the delay of real-time processing was only 250 μs.
本研究旨在开发一种可在电刺激过程中采集信号的实时肌电图（EMG）信号采集和处理装置。由于电刺激输出会影响 EMG 信号采集，因此要将这两个元素集成到一个系统中，必须修改 EMG 信号传输和处理方法。整个系统的设计具有用户友好性和灵活性。对于 EMG 信号处理，系统采用 Altera 现场可编程门阵列（FPGA）作为核心，以即时高效地处理实时混合 EMG 信号并输出隔离信号。该系统使用功率谱密度来评估信号处理的准确性，互相关显示实时处理的延迟仅为 250μs。
