Analysis Of SEMG Chaotic Character And Application In The Hip Joint Of Lower Limbs Rehabilitative Control

The study of this task is from the extension of the Province Science and Teconology Agency project. In the field of rehabilitation, the patient who lost the ability of movement meet with the strong pain. They lost heart for the traditional rehabilitation training. In the paper, the method of EMG control is used to control the lower limbs robot. With collecting the sEMG from individual’s muscle as the trigger signal, controlling the lower device complete movement. Therefore, the study contents of the paper are:(1) The collection and treatment of the sEMG-filtering、feature extraction and mode recognitionThe sEMG of the lower limbs hip joint in the motion of anteflexion and rear protraction is collected with the device MQ8. We filter the sEMG with the method of wavelet transform and extract the character of time domian、frequency domain and time-frequency domain. We choose the suited charactertistic value as the input of neural network model to train the network. In this paper, BP neural network will be used to identify the different motion.(2) The study of hip joint control with sEMGOne degree of freedom of hip joint will be controlled. The work of charater extraction and mode recognition of different motion with sEMG is done. We choose a suited method of neural network control. The classification result will be regarded as drive signal to control lower limbs rehabilitation device to complete the intention of swing in ADMAS.(3) The chaotic charater of sEMG and the study of chaotic controlFirst, we reconstruct the phase-spase of sEMG with delay coordinate method. The retardation τ can be confirmed with self-correlation method. The embedded dimension m can be confirmed with mistake neighbor method. Some nonlinear parameters can be used to make sure the sEMG is a kind of chaotic signal. Entropy illustrate the randomness and systematicness of the system. L-Z complexity depict the complexity of the system. The max lyapunov exponent show the state in the nonlinear dynamical system. Then we explore the application of chaotic control in the lower limbs device.