Abstract
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.
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Acknowledgments
The authors would like to express their deepest gratefulness to Professor Chun-Yu Yeh of School of Physical Therapy, Chung Shan Medical University Taichung, Taiwan, for the views of clinical EMG signal. The authors also would like to thanks National Chip Implementation Center (CIC) and National Center for High-performance Computing (NCHC) of NARL (Nation Applied Research Laboratories), Taiwan, for providing computational and tools resources and storage resources. This research was partially supported by National Science Council under grant NSC 99-2321-B-224 -001 and 100-2321-B-224 -001. This study was also partial supported by grants from Ministry of Science and Technology, Taiwan, under grant number MOST 103-2221-E-224 -014.
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Hsueh, YH., Yin, C. & Chen, YH. Hardware System for Real-Time EMG Signal Acquisition and Separation Processing during Electrical Stimulation. J Med Syst 39, 88 (2015). https://doi.org/10.1007/s10916-015-0267-6
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DOI: https://doi.org/10.1007/s10916-015-0267-6