Suppr超能文献

脑-肌肉-计算机接口:手机原型的开发与测试

Brain-muscle-computer interface: mobile-phone prototype development and testing.

作者信息

Vernon Scott, Joshi Sanjay S

机构信息

Department of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USA.

出版信息

IEEE Trans Inf Technol Biomed. 2011 Jul;15(4):531-8. doi: 10.1109/TITB.2011.2153208. Epub 2011 May 12.

Abstract

We report prototype development and testing of a new mobile-phone-based brain-muscle-computer interface for severely paralyzed persons, based on previous results from our group showing that humans may actively create specified power levels in two separate frequency bands of a single surface electromyography (sEMG) signal. EMG activity on the surface of a single face muscle site (auricularis superior) is recorded with a standard electrode. This analog electrical signal is imported into an Android-based mobile phone and digitized via an internal A/D converter. The digital signal is split, and then simultaneously filtered with two band-pass filters to extract total power within two separate frequency bands. The user-modulated power in each frequency band serves as two separate control channels for machine control. After signal processing, the Android phone sends commands to external devices via a Bluetooth interface. Users are trained to use the device via visually based operant conditioning, with simple cursor-to-target activities on the phone screen. The mobile-phone prototype interface is formally evaluated on a single advanced Spinal Muscle Atrophy subject, who has successfully used the interface in his home in evaluation trials and for remote control of a television. Development of this new device will not only guide future interface design for community use, but will also serve as an information technology bridge for in situ data collection to quantify human sEMG manipulation abilities for a relevant population.

摘要

基于我们团队之前的研究结果,即人类可以在单个表面肌电图(sEMG)信号的两个不同频段中主动创建特定功率水平,我们报告了一种新型的基于手机的脑-肌肉-计算机接口的原型开发和测试情况。使用标准电极记录单个面部肌肉部位(耳上肌)表面的肌电活动。这个模拟电信号被导入到一部基于安卓系统的手机中,并通过内置的A/D转换器进行数字化处理。数字信号被拆分,然后同时用两个带通滤波器进行滤波,以提取两个不同频段内的总功率。每个频段中用户调制的功率作为机器控制的两个独立控制通道。经过信号处理后,安卓手机通过蓝牙接口向外部设备发送命令。通过基于视觉的操作性条件反射训练用户使用该设备,即让用户在手机屏幕上进行简单的光标指向目标活动。在一名患有晚期脊髓性肌萎缩症的受试者身上对这款基于手机的原型接口进行了正式评估,该受试者在评估试验中已成功在其家中使用该接口并用于远程控制电视。这种新设备的开发不仅将指导未来面向社区使用的接口设计,还将作为一个信息技术桥梁,用于现场数据收集,以量化相关人群的人类肌电操控能力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验