Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
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.
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.