A fuzzy-based dynamic threshold algorithm for motion intention detection system for upper-limb electromyography (EMG) signal characterization

• Main Authors: Sy, Armyn C., Baldovino, Renann G., Bugtai, Nilo T.
• Format: text
• Published: Animo Repository 2017
• Subjects: Computer simulation; Electromyography; Fuzzy logic; Motion intention detection; Robotics rehabilitation
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/10030
• Institution: De La Salle University

Dynamic threshold is a method of determining a normal behavior range of a certain performance metric. In robotic rehabilitation devices, motion intention detection is an important parameter to consider. The robot’s active participation through its assistance is dictated by the electromyography (EMG) threshold signal level in which this signal can be measured using the mean EMG signal (mV). This paper presents a fuzzy-based dynamic threshold algorithm for motion intention detection system used in the characterization of the upper-limb EMG signal. The fuzzy output is obtained mainly from the two inputs: initial position and movement velocity. Results were analyzed statistically to observe its dynamic behavior using different test subjects