سال انتشار:

2015

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ترجمه فارسی عنوان مقاله:

تکنیک حذف آرتیفکت تحریک برای پردازش سیگنال SEMG در طی تحریک الکتریکی عملکردی (FES)

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عنوان انگلیسی مقاله:

A Stimulus Artifact Removal Technique for SEMG Signal Processing During Functional Electrical Stimulation

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منبع:

DOI 10:1109/TBME:2015:2407834

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نویسنده:

Shuang Qiu, Jing Feng, Rui Xu, Jiapeng Xu, Kun Wang, Feng He, Hongzhi Qi

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چکیده انگلیسی:

Goal: The purpose of this study was to design a method for extracting the volitional EMG from recorded surface electromyography (EMG), contaminated by functional electrical stimulation (FES) artifact. Methods: Considering that the FES artifact emerges periodically with rather large amplitude in non-stationary EMG, we designed an adaptive matched filter (AMF) via genetic algorithm (GA) optimization. Both the simulated and real data from seven subjects were processed, using the GA-AMF filter and comb filter, respectively. To test the filtering effect on the EMG, contaminated with FES artifact of different current intensities, the contaminated EMG was simulated by combining the simulation artifact and clean EMG with various FES artifacts to clean EMG ratios. Results: The results show that, in simulation test, compared to the EMG filtered by comb filter, the simulated EMG (p<0.05), filtered by using GA-AMF, had significantly higher correlation coefficient, higher signal to noise ratio (SNR), and lower normalized root mean square error (NRMSE), whereas the real EMG (p<0.05), filtered by using GA-AMF had higher power reduction (PR) than that filtered by using comb filter. The results indicate that GA-AMF can effectively remove FES artifact from the EMG of the stimulated muscle and its adjacent muscle, and the GA-AMF filter performed better than did the comb filter. Conclusion: All these results demonstrate that the GA-AMF filter is capable of extracting volitional EMG from the stimulated muscle and adjacent muscles. Significance: GA-AMF could provide technical support for improving EMG feedback control of FES rehabilitation system.

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چکیده فارسی:

هدف اين مطالعه طراحي يك روش براي استخراج EMG ارادي از الكترومايوگرافي سطحي ثبت‌شده ، آلوده‌شده توسط آرتیفکت تحريك الكتريكي كاربردي بود. متد:با توجه به اينكه آرتیفکت FESبه‌طور پريوديك با اندازه نسبتا بزرگ در EMG نا ايستا ظاهر می‌شود،ما يك فيلتر تطابقي منطبق با بهينه سازي الگوريتم ژنتيك طراحي كرديم هر دو ديتاي شبیه‌سازی‌شده و واقعي از هفت سوژه توسط فيلتر ژنتيك و فيلتر كامب(شانه) بدست امد.براي ازمايش تاثير فيلتر بر روي EMG الوده شده با ارتيفكت FESبا شدت هاي مختلف ،EMG الوده شده با تركيب ارتيفكت شبيه سازي و EMG تمیز با ارتيفكت هاي FESمتفاوت به نسبت EMG تمیز ،تحریک شد.

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حجم فایل: 934 کیلوبایت

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قیمت: 30000 تومان  24000 تومان(20% تخفیف)

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توضیحات اضافی: نظر

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