A fuzzy-based dynamic threshold algorithm for motion intention detection system for upper-limb electromyography (EMG) signal characterization
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Article
Source Title
Science International
Volume
29
Issue
4
First Page
801
Last Page
805
Publication Date
2017
Abstract
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
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Recommended Citation
Sy, A. C., Baldovino, R. G., & Bugtai, N. T. (2017). A fuzzy-based dynamic threshold algorithm for motion intention detection system for upper-limb electromyography (EMG) signal characterization. Science International, 29 (4), 801-805. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/10030
Keywords
Computer simulation; Electromyography; Fuzzy logic; Motion intention detection; Robotics rehabilitation
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
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