跳至主要内容
临床试验/NCT02169375
NCT02169375终止不适用

Effect of Normalizer Adaptation on Accuracy in a Sensorimotor Based Brain-Computer Interface

University of Michigan2 个研究点 分布在 1 个国家目标入组 6 人开始时间: 2010年11月最近更新:
适应症

试验速览

阶段
不适用
状态
终止
入组人数
6
试验地点
2
主要终点
Accuracy of a mu rhythm BCI using adaptation versus no adaptation.

研究概览

简要总结

Sensorimotor (also know as mu) rhythm based brain-computer interfaces (BCIs) are a tool for controlling electronic devices using only brain signals. Often, the computer software that analyzes mu-rhythm brain signals constantly adapts to the individual user's brain signals when the training target location is known. The investigators want the BCIs to be more universal, and not depend on knowing the target location. Therefore, the investigators will test the effect removing adaptation has on accuracy of using a mu-rhythm BCI.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Single Group
主要目的
Basic Science
盲法
Triple (Participant, Investigator, Outcomes Assessor)

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age 18 or older.
  • Able to read text on a computer screen
  • Able to understand and remember instructions concerning participation.

排除标准

  • Unable give informed consent.
  • Unable to understand and follow instructions.
  • Have abnormal tone or uncontrolled movements in the head-and-neck that would interfere with EEG recordings.
  • Known to have photosensitive epilepsy.
  • Open head lesions or sores.

结局指标

主要结局

Accuracy of a mu rhythm BCI using adaptation versus no adaptation.

时间窗: 10 times over 5 weeks

Accuracy with which subjects can select one of two targets after a 3-second time period. The accuracy for a run is calculated as the % of the trials in which the correct target is selected. The average accuracy will be calculated for each of the 10 usage sessions and changes over the sessions will be tracked.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Jane Huggins, PhD

Research Assistant Professor

University of Michigan

研究点 (2)

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