Portable EMG signal acquisition and human body movement recognition

Portable EMG signal acquisition and human body movement recognition

Self-designed front-end analog circuit collects the surface EMG signals on the human arms and legs, and performs certain signal filtering, including low-pass and high-pass. After amplification, the A/D of the KL25Z128VLK4 processor realizes analog-to-digital conversion, and then simple digital filtering, Processing, drawing surface electromyography (sEMG) and judging simple actions of a part of the human body through methods such as feature extraction and pattern recognition. introduction 1.1 Design background As a kind of bioelectric signal, the electromyography signal is the source of the electrical signal that generates muscle power. It is the superposition of the action potentials of many motor units in the muscle in time and space. It reflects the movement of nerves and muscles to a large extent. state. From the perspective of the source of the EMG signal, there are generally two types. One is to obtain the needle EMG signal by inserting needle electrodes into the muscle, which has the advantages of small interference and easy identification, but it can cause harm to the human body; the other is This method is used to obtain the electromyographic signal on the surface of the human skin through the electrode sheet, that is, the surface electromyographic signal (sEMG). This method is relatively simple and has no harm to the human body. In this design, the surface EMG signal is collected. The surface EMG signal can be obtained from many parts of the human body, such as the calf, thigh, waist, back, neck, etc. The surface EMG signal obtained from different parts carries the movement and function information of the corresponding part. For example, the EMG signal on the leg reflects the movement state of the leg, such as walking, running, squatting and so on. It is very important to use surface EMG signal to study the state of human motion. In medical rehabilitation engineering, surface EMG signals can be used for patient treatment, and in bionics, surface EMG signals can be used for research on artificial limbs.