首页 /研究 /Correction: Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing
OTHER

Correction: Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing

Leif Simmatis, Spencer Early, Kimberly D. Moore, Simone Appaqaq, Stephen H. Scott

发表年份
2023
引用次数
15
访问权限
开放获取

摘要

Then the values under the Methods and Results has been changed.So, the Methods and Results will read as follows:Methods: We assessed participants twice within 15 days on all tasks presently available in KST.We determined the 5-95% confidence intervals for each task parameter, and derived thresholds for significant change.We tested for learning effects and corrected for the false discovery rate (FDR) to identify task parameters with significant learning effects.Finally, we calculated intraclass correlation of type ICC (3,1) (ICC-C) to quantify consistency across assessments.Results: We recruited an average of 56 participants per task.Confidence intervals for Z-Task Scores ranged between 0.84 and 1.41, and the threshold for significant change ranged between 1.19 and 2.00.We determined that 6/11 tasks displayed learning effects that were significant after FDR correction; these 6 tasks primarily tested

关键词

Sensory systemCognitionPhysical medicine and rehabilitationRepeated measures designPsychologyCognitive psychologyComputer scienceNeuroscienceMedicineMathematics

相关论文

查看 OTHER 分类全部论文