基于肌电与肌动同步解析的肌肉痉挛评测方法

Muscle spasticity assessment method based on EMG and MMG synchronous analysis

肌肉痉挛是常见的运动功能障碍疾病,通过肌电与肌动双模信息同步解析进行肌肉痉挛定量评估具有重要意义。本文针对同步获取高信噪比肌电与肌动信号的难点,提出一种抗工频干扰、轻量加速度计信号校正的肌电与肌动双模信息同步解析方法,设计了无线多通道肌电和肌动信号同步采集系统。与常见科学仪器Delsys系统对比,所提系统肌电信噪性能与Delsys相似(均20 d B左右),肌动信号有效频带(0~20 Hz)能量显著高于Delsys;对所提系统进行临床测试,健康志愿者主动屈肘时屈肌肌电信噪比约20 d B;3名改良Ashworth评分(MAS)分别为1级,1+级与2级患者归一化肌电指标分别为0. 54±0. 05,0. 59±0. 04和0. 62±0. 01,屈肌肌动信号均方根值分别为2. 69±1. 04 m·s-2,3. 19±1. 13 m·s-2,4. 89±1. 19 m·s-2,肌电与肌动信息均可有效区分患者痉挛等级。因此所提方法可用于肌肉痉挛评测及肢体运动功能监测。

Muscle spasticity is a common disorder of motor function.The electromyogram(EMG)and mechanomyogram(MMG)dualmodel information synchronous analysis has significant importance for the quantitative assessment of muscle spasticity.Aiming at the difficulty of synchronously acquiring the EMG and MMG signals with high signal-to-noise ratio(SNR),in this paper a synchronous analysis method of EMG and MMG dual-mode information with anti-power frequency interference and light accelerometer signal correction is proposed,and a wireless multi-channel EMG and MMG signal synchronous acquisition system is designed.Compared with the commonly used commercial EMG and MMG synchronous acquisition system(Delsys system),the EMG signal to noise ratio performance of the self-developed system is similar to that of the Delsys system(both about 20 d B),and the effective frequency band(0~20 Hz)energy of the MMG signal is obviously higher than that of Delsys.The clinic test of the self-developed system was conducted.For the healthy subject,the EMG signal to noise ratio of active elbow flexion is about 20 d B.For the three patients(muscle spasticity levels are1,1+and 2 respectively,according to the modified Ashworth scale),the normalized EMG indexes are 0.54±0.05,0.59±0.04,0.62±0.01,respectively(mean±std).The flexor MMG RMS(root mean square,RMS)of the three patients are 2.69±1.04 m·s-2,3.19±1.13 m·s-2 and 4.89±1.19 m·s-2,respectively.Using the self-developed system,the EMG and MMG information can be effectively used to grade the level of spasticity.The test results demonstrate that the proposed method can be used for muscle spasticity assessment and limb movement function monitoring.