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Validation of a brain-computer interface version of the digit symbol substitution test in healthy subjects.
Computers in Biology and Medicine ( IF 7.0 ) Pub Date : 2020-03-25 , DOI: 10.1016/j.compbiomed.2020.103729
Xiaogang Chen 1 , Nan Hu 2 , Yijun Wang 3 , Xiaorong Gao 4
Affiliation  

Digit symbol substitution test (DSST), which is a valid and sensitive tool to assess human cognitive dysfunction, has been widely used in clinical neuropsychology. Although several versions of DSST are currently available, most of the existing DSST versions rely on examinees' intact motor function. This limits their utility in severely motor-impaired individuals. A brain-computer interface (BCI) version of DSST was implemented in this study. Steady-state visual evoked potential (SSVEP) was adopted to build the BCI. Nine symbols in the proposed SSVEP BCI-based DSST were designed with clearly different shapes for decreasing measurement errors due to misidentified symbols. To reduce practice effect, furthermore, the digit-symbol pairs of each trial were different. A two-target SSVEP BCI was designed to judge whether the digit-symbol probe in the center of the user interface matched one of the nine digit-symbol pairs above the user interface. All 12 examinees were able to perform the tasks using the proposed SSVEP BCI-based DSST with 96.17 ± 4.18% averaged accuracy, which was comparable with that of computerized DSST. Furthermore, for examinees participating in both offline and online experiment, the accuracies of the online and offline experiments were comparable, supporting that the proposed BCI-DSST was reliable for repeatedly evaluating examinees' cognitive function over time. These results verified that the proposed SSVEP BCI-based DSST was feasible and effective for healthy subjects.

中文翻译:

在健康受试者中验证数字符号替代测试的脑机接口版本。

数字符号替代测试(DSST)是评估人类认知功能障碍的有效且敏感的工具,已广泛用于临床神经心理学。尽管目前有几种版本的DSST,但是大多数现有的DSST版本都依赖于考生的完整运动功能。这限制了它们在严重运动障碍者中的效用。在这项研究中实现了DSST的脑机接口(BCI)版本。稳态视觉诱发电位(SSVEP)被用来建立BCI。提议的基于SSVEP BCI的DSST中的9个符号设计有明显不同的形状,以减少由于符号错误识别引起的测量误差。此外,为了降低实践效果,每个试验的数字符号对都不同。设计了两个目标的SSVEP BCI,以判断用户界面中心的数字符号探针是否与用户界面上方的九个数字符号对之一匹配。所有12位考生都能够使用建议的基于SSVEP BCI的DSST执行任务,平均准确度为96.17±4.18%,与计算机化DSST相当。此外,对于参加离线和在线实验的考生,在线和离线实验的准确性是可比的,这表明所提出的BCI-DSST对于随着时间的推移反复评估考生的认知功能是可靠的。这些结果证实了所提出的基于SSVEP BCI的DSST对于健康受试者是可行和有效的。使用建议的基于SSVEP BCI的DSST,所有12位考生均能够执行任务,平均准确度为96.17±4.18%,与计算机化DSST相当。此外,对于参加离线和在线实验的考生,在线和离线实验的准确性是可比的,这表明所提出的BCI-DSST对于随着时间的推移反复评估考生的认知功能是可靠的。这些结果证实了所提出的基于SSVEP BCI的DSST对于健康受试者是可行和有效的。使用建议的基于SSVEP BCI的DSST,所有12位考生均能够执行任务,平均准确度为96.17±4.18%,与计算机化DSST相当。此外,对于参加离线和在线实验的考生,在线和离线实验的准确性是可比的,这表明所提出的BCI-DSST对于随着时间的推移反复评估考生的认知功能是可靠的。这些结果证实了所提出的基于SSVEP BCI的DSST对于健康受试者是可行和有效的。在线和离线实验的准确性是可比的,这证明了所提出的BCI-DSST对于随着时间的推移反复评估考生的认知功能是可靠的。这些结果证实了所提出的基于SSVEP BCI的DSST对于健康受试者是可行和有效的。在线和离线实验的准确性是可比的,这证明了所提出的BCI-DSST对于随着时间的推移反复评估考生的认知功能是可靠的。这些结果证实了所提出的基于SSVEP BCI的DSST对于健康受试者是可行和有效的。
更新日期:2020-04-20
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