Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographic signals from the muscles remaining after amputation at the forearm level. Although this principle is trying to imitate the natural control structure where muscles control the joints of the hand, in practice, myoelectric control provides only basic hand functions to an amputee using a dexterous prosthesis. This study aims to provide an annotated database of high-density surface electromyographic signals to aid the efforts of designing robust and versatile electromyographic control interfaces for prosthetic hands. The electromyographic signals were recorded using 128 channels within two electrode grids positioned on the forearms of 20 able-bodied volunteers. The participants performed 65 different hand gestures in an isometric manner. The hand movements were strictly timed using an automated recording protocol which also synchronously recorded the electromyographic signals and hand joint forces. To assess the quality of the recorded signals several quantitative assessments were performed, such as frequency content analysis, channel crosstalk, and the detection of poor skin-electrode contacts.

现代多关节假手的控制通常是通过使用来自前臂截肢后剩余肌肉的肌电信号来实现的。尽管这一原理试图模仿肌肉控制手部关节的自然控制结构，但实际上，肌电控制仅为使用灵巧假肢的截肢者提供基本的手部功能。本研究旨在提供高密度表面肌电信号的注释数据库，以帮助设计健壮且多功能的假手肌电控制界面。使用位于 20 名身体健全志愿者前臂上的两个电极网格内的 128 个通道记录肌电信号。参与者以等距方式做出 65 种不同的手势。使用自动记录协议严格计时手部动作，该协议还同步记录肌电信号和手部关节力。为了评估记录信号的质量，进行了多项定量评估，例如频率内容分析、通道串扰以及皮肤电极接触不良的检测。