Neuro-Fuzzy Control of a Robotic Exoskeleton With EMG Signals
Kazuo Kiguchi, Member, IEEE, Takakazu Tanaka, and Toshio Fukuda, Fellow, IEEE
Abstract—We have been developing robotic exoskeletons to assist motion of physically weak persons such as elderly, disabled, and injured persons. The robotic exoskeleton is controlled basically based on the electromyogram (EMG) signals, since the EMG signals of human muscles are important signals to understand how the user intends to move.
Tham khảo sách 'neuro fuzzy control of a robotic exoskeleton with emg signals transactions on fuzzy systems, vol. 12', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists.
Mechatronic Experiments Course Design: A Myoelectric Controlled Partial-Hand Prosthesis Project
Ton-Tai Pan, Ping-Lin Fan, Huihua Kenny Chiang, Member, IEEE, Rong-Seng Chang, and Joe-Air Jiang, Member, IEEE
Abstract—This paper describes a proposed laboratory project involving the design of a myoelectric-controlled partial-hand prosthesis to reinforce mechatronic education. The proposal focuses mainly on extract electromyogram (EMG) signals generated during contraction of the biceps.
The process of collecting and analyzing the data is critical in healthcare as it constitutes the basis for categorization of patient health
problems. Data collected in medical practice ranges from free form text to structured text, numerical measurements, recorded
signals, and imaging data.