Alexey Anastasiev1, Hideki Kadone2, Aiki Marushima3

  • 1Department of Neurosurgery, Graduate School of Comprehensive Human Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8575, Ibaraki, Japan.

概括

这项研究介绍了SNAiL,这是一种分析电肌图 (EMG) 功能以改善中风手势识别的新方法. 与传统方法相比,SNAiL可以提高10-17%的模式识别 (PR) 性能.