肢体动作时表面肌电信号的复杂度特征分析 |
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引用本文: | 王丹 姬军 刘宇静等. 肢体动作时表面肌电信号的复杂度特征分析[J]. 中国医学装备, 2014, 0(3): 13-16 |
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作者姓名: | 王丹 姬军 刘宇静等 |
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作者单位: | [1]解放军第305医院物资采购管理办公室,北京100017 [2]解放军第305医院医学工程科,北京100017 [3]北京军区总医院医学工程科,北京100700 [4]第兰军医大学西南医院医学工程科,重庆400038 |
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基金项目: | 基金项目:全军医药卫生科研基金(06MA364)“基于加速度传感器和个人体域网监测睡眠中国期性腿动时间的关键技术研究” |
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摘 要: | 目的:利用C0复杂度分析手指动作时前臂肌肉表面肌电信号的特征。方法:记录指浅屈肌(FDS)、指伸肌(ED)的肌电信号及食指或中指在4N、6N和8N力量水平下相对应的电压。截取第3通道得到的食指或中指力量平稳段并找到对应的肌电信号段,采用改进的C0复杂度算法,对FDS和ED上记录的肌电信号均截取力量稳定时的2000个点计算其C0复杂度。结果:对于4N、6N及8N3个力量等级,食指动作时FDS、ED两块肌肉的C0平均值均大于中指的C0平均值。结论:食指、中指产生相同的力量时,其相应的表面肌电信号C0复杂度存在差异,表明C0复杂度可用于描述手指活动时前臂肌肉的活动状态。
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关 键 词: | 手指活动 肌电 指浅屈肌 指伸肌 C0复杂度 |
Research on the characteristics of complexity analysis of surface electromyography in physical activity |
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Affiliation: | WANG Dan, JI Jun, LIU Yu-jing, et al Purchasing Management Office, PLA 505 Hospital, Bejing 100017,China. |
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Abstract: | Objective: Analysis finger action forearm muscles surface EMG characteristics using the Co complexity. Methods: Record the electromyography of FDS and ED and the corresponding Voltage of index finger or middle finger in 4N, 6N and 8N power level. Get the stable mechanical single in 3rd channel of index finger or middle finger and find the corresponding sEMG for filtering, with the improved Co complexity algorithm, calculate its Co complexity of the FDS and ED by the selected 2000 points in the sEMG. Results: The index finger action FDS, ED two muscle's mean value of Co is greater than the middle finger's for 4N, 6N, 8N three power levels. Conclusion: when the index finger, middle finger produce same power, their Co complexity of corresponding sEMG are different, the Co complexity can be used to describe the active state of forearm muscles when fingers are active. |
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Keywords: | Finger activity Electromyography Flexor digitorum superficialis Extensor digitorium Co complexity |
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