Pattern-recognition-based myoelectric control systems are not yet widely available due to their limited robustness in real-life situations. Some postprocessing methods were introduced to improve the robustness in previous studies, but there is lack of investigation into movement transition phases. This article presents a novel postprocessing method based on movement pattern transition (MPT) detection. An image-based index is used to quantify the similarity of adjacent feature matrices from high-density surface electromyogram (EMG) signals. MPT detection is implemented by applying a double threshold to the calculated index. The proposed postprocessing method is used to rectify the EMG pattern recognition decisions from the classifier by incorporating the detected information. Two representative testing schemes are used to verify the robustness of the proposed method against force level variation and consecutive nonstop task performance. The proposed method achieved mean classification accuracy improvements of 7.33% and 10.91% with respect to the baseline performance of a raw classifier (without any postprocessing) in the two testing schemes. It also outperformed other common postprocessing methods (p < 0.05). Considering both the accuracy improvement and time efficiency for rapid responses to MPT, the proposed method could be a potential option for postprocessing to enhance the robustness of myoelectric control.

中文翻译：

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一种通过运动模式转换检测实现鲁棒肌电模式识别控制的新后处理方法

基于模式识别的肌电控制系统尚未广泛使用，因为它们在现实生活中的鲁棒性有限。之前的研究中引入了一些后处​​理方法来提高鲁棒性，但缺乏对运动过渡阶段的研究。本文提出了一种基于运动模式转换 (MPT) 检测的新型后处理方法。基于图像的索引用于量化来自高密度表面肌电图 (EMG) 信号的相邻特征矩阵的相似性。MPT 检测是通过对计算出的指数应用双阈值来实现的。所提出的后处理方法用于通过结合检测到的信息来纠正来自分类器的 EMG 模式识别决策。两个有代表性的测试方案用于验证所提出的方法对力水平变化和连续不间断任务性能的鲁棒性。在两种测试方案中，所提出的方法相对于原始分类器（没有任何后处理）的基线性能实现了 7.33% 和 10.91% 的平均分类精度提高。它还优于其他常见的后处理方法（p < 0.05）。考虑到对 MPT 快速响应的准确性提高和时间效率，所提出的方法可能是后处理的潜在选择，以增强肌电控制的鲁棒性。在两个测试方案中，原始分类器（没有任何后处理）的基线性能为 91%。它还优于其他常见的后处理方法（p < 0.05）。考虑到对 MPT 快速响应的准确性提高和时间效率，所提出的方法可能是后处理的潜在选择，以增强肌电控制的鲁棒性。在两个测试方案中，原始分类器（没有任何后处理）的基线性能为 91%。它还优于其他常见的后处理方法（p < 0.05）。考虑到对 MPT 快速响应的准确性提高和时间效率，所提出的方法可能是后处理的潜在选择，以增强肌电控制的鲁棒性。