{"title":"手动控制跟踪中操作者性能的肌电图评价","authors":"R. E. Barr, R. Hamlin, L. Abraham, D. E. Greene","doi":"10.1109/IEMBS.1988.94761","DOIUrl":null,"url":null,"abstract":"A study was conducted of ten subjects to evaluate electromyographic (EMG) correlates to learning during manual control tracking. Subjects were seated in front of a CRT screen and manually tracked two different trajectories on two different days. The surface EMG signal was gathered from the supinator longus muscle and RMS-averaged over one-half-second intervals. Comparison of EMG RMS energy for the two target trajectories suggested a velocity-tracking profile. A two-dimensional curve fit, using amplitude scaling and time lead-lag shifts, was obtained using the EMG data and the two trajectory velocities. Results suggest that goodness-of-fit coincides with tracking accuracy, with the better trackers having a lower mean squared error in the best fit.<<ETX>>","PeriodicalId":227170,"journal":{"name":"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Electromyographic evaluation of operator performance in manual control tracking\",\"authors\":\"R. E. Barr, R. Hamlin, L. Abraham, D. E. Greene\",\"doi\":\"10.1109/IEMBS.1988.94761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A study was conducted of ten subjects to evaluate electromyographic (EMG) correlates to learning during manual control tracking. Subjects were seated in front of a CRT screen and manually tracked two different trajectories on two different days. The surface EMG signal was gathered from the supinator longus muscle and RMS-averaged over one-half-second intervals. Comparison of EMG RMS energy for the two target trajectories suggested a velocity-tracking profile. A two-dimensional curve fit, using amplitude scaling and time lead-lag shifts, was obtained using the EMG data and the two trajectory velocities. Results suggest that goodness-of-fit coincides with tracking accuracy, with the better trackers having a lower mean squared error in the best fit.<<ETX>>\",\"PeriodicalId\":227170,\"journal\":{\"name\":\"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1988.94761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1988.94761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electromyographic evaluation of operator performance in manual control tracking
A study was conducted of ten subjects to evaluate electromyographic (EMG) correlates to learning during manual control tracking. Subjects were seated in front of a CRT screen and manually tracked two different trajectories on two different days. The surface EMG signal was gathered from the supinator longus muscle and RMS-averaged over one-half-second intervals. Comparison of EMG RMS energy for the two target trajectories suggested a velocity-tracking profile. A two-dimensional curve fit, using amplitude scaling and time lead-lag shifts, was obtained using the EMG data and the two trajectory velocities. Results suggest that goodness-of-fit coincides with tracking accuracy, with the better trackers having a lower mean squared error in the best fit.<>