Pinheiro Carlos G, Andrade Adriano O
Universidade Federal de Goiás, Brazil.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1984-7. doi: 10.1109/EMBC.2012.6346345.
Patients with severe motor impairments, victims of stroke, amyotrophic lateral sclerosis and spinal cord injury are prevented from oral and gesture communication, demanding alternative channels and methods of communication, possibly using a computer. In order to obtain the complete emulation of a standard mouse, the single-click and double-click actions are desirable functionalities. In this study, the implementation of such actions is executed by the analysis of the electromyographic signal recorded from the Frontalis muscle. Muscle activity is discriminated from noise and this information is used to feed a state-machine that in turn decides which action is intended. The method uses an adaptive threshold, which offers freedom for the selection of the parameters of the system. The rate of successfully detected commands found was up to 100% for the single-click and 92% for the double-click. Even though good results were found for double-clicks, the experiment indicate muscle fatigue in the short term. The time response found was below 300 ms suggesting real-time implementation is feasible. Also, other devices can be operated with this approach, if it is accepted as a two symbols system generator.
患有严重运动障碍的患者，如中风、肌萎缩侧索硬化症和脊髓损伤的受害者，无法进行口头和手势交流，需要通过其他渠道和方法进行交流，可能会使用计算机。为了完全模拟标准鼠标，单击和双击操作是理想的功能。在本研究中，通过分析从额肌记录的肌电信号来实现这些操作。将肌肉活动与噪声区分开来，并利用这些信息来驱动一个状态机，该状态机进而决定意图执行的操作。该方法使用自适应阈值，这为系统参数的选择提供了灵活性。发现的单击成功检测命令率高达100%，双击为92%。尽管双击取得了良好的结果，但实验表明短期内会出现肌肉疲劳。发现的时间响应低于300毫秒，表明实时实现是可行的。此外，如果该方法被用作双符号系统生成器，其他设备也可以用这种方法操作。
