Fuzzy inference system based automatic Brunnstrom stage classification for upper-extremity rehabilitation
作者：
Highlights：
• We investigated stroke patients’ upper extremity motion in a major hospital.
• We discovered that features related to Brunnstrom stages can be extracted using PCA.
• An ANFIS was trained to evaluate the recovery progress based on Brunnstrom stages.
• Trained system was tested for validity with actual patients’ motion data.
• System generated outputs are found matching with human experts judgment.
摘要
•We investigated stroke patients’ upper extremity motion in a major hospital.•We discovered that features related to Brunnstrom stages can be extracted using PCA.•An ANFIS was trained to evaluate the recovery progress based on Brunnstrom stages.•Trained system was tested for validity with actual patients’ motion data.•System generated outputs are found matching with human experts judgment.
论文关键词：Stroke rehabilitation,Brunnstrom recovery stages,Motion quality evaluation,Principle Component Analysis,Adaptive Neuro-Fuzzy Inference System
论文评审过程：Available online 7 September 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.094
