Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12984
ชื่อเรื่อง: Optimal placement of multi-channels sEMG electrod for finger movement classification
ผู้แต่ง: Sueaseenak D.
Uburi T.
Tirasuwannarat P.
Keywords: Bioinformatics
Electrodes
Electromyography
Motion analysis
Feature extraction methods
Finger movements
Flexor digitorum superficialis muscle
Healthy volunteers
MYO armband
Optimal electrodes
Optimal placements
Quantitative parameters
Muscle
วันที่เผยแพร่: 2017
บทคัดย่อ: This research aims to propose the optimal electrode positions for surface EMG by using a modern gesture control device called MYO armband. Seven healthy volunteers participated in this research. The sEMG signal was collected form three different electrode positions in the superficial forearm muscles positions such as Extenser digitorum muscle, Flexor digitorum superficialis muscle, Palmaris longus muscle during finger movements 5 gesture including flexion thumb, index, middle, ring and little. Waveform length (WL) is a feature extraction method, EMG features were represented in scatter diagrams to explain their behaviors. The well-known quantitative parameters used to evaluate the performance of EMG feature included scattering criterion. The result showed optimal position to obtain the best quality surface EMG recording by MYO armband for finger movement classification. The position is a middle of forearm length area. © 2017 Association for Computing Machinery.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12984
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041925597&doi=10.1145%2f3168776.3168802&partnerID=40&md5=a96ce81decb22382442858ca7ff5876f
Appears in Collections:Scopus 1983-2021

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