Feasibility Assay for Measure of Sternocleidomastoid and Platysma Electromyography Signal for Brain-Computer Interface Feedback

• 作者: Alexandre Balbinot Juliet Sánchez Galego Omar Valle Casas
• 来源期刊: 智能控制与自动化(英文)
• 学科: 医学
• 关键词: ELECTROMYOGRAPHY Feature Extraction Uncertainty Statistical Analysis Factors Interactions
• 年，卷（期）: 2014,（4）
• 页码范围: 253-261
• 页数: 9页
• 分类号: R73

摘要

A feasibility assay is conducted for electromyography measure in sternocleidomastoid and platysma, tenting to use it on Brain-Computer Interface (BCI) feedback. It is proposed a case of study for four healthy subjects with an average of 35 years old, two females and two males. Methodology proposed includes signal acquisition and processing with feature extraction of RMS, Mean and Variance. The data are acquired with the AD board NI USB-6009, interfaced with LabView and processed in MatLab. An uncertainty analysis was made obtaining a system uncertainty of ±2.31 mV. ANOVA analysis was done, with a Randomized Complete Block Design (RCBD) experiment and interaction of factors and residues obtained with the software Minitab.