EEG-based Brain Computer Interface and Mu Rhythm for Computer Access
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 入组人数
- 7
- 试验地点
- 1
- 主要终点
- Efficacy of Mu Rhythm Learning
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.
The Mu rhythm is a naturally occuring wave produced by the brain. This research project will determine how to best train subjects to use the Mu rhythm for computer control.
详细描述
As a method of BCI control, Mu rhythms are difficult to learn and involve extensive training. The investigators want to keep users motivated and determine the best way to provide effective training. Healthy users will be trained to control a computer by wearing an electrode cap that is connected to a computer. They will have their levels of motivation and interest measured while learning to use the Mu rhythm. Two different types of learning programs will be used to determine which is most effective for Mu rhythm training. This method will be used for device control by people with severe physical impairments, who may be able to communicate or carry out other desired tasks using a BCI.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
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
Efficacy of Mu Rhythm Learning
时间窗: 20 sessions
The primary outcome measure is determining the best learning methods by which subjects can learn to use the Mu rhythm to hit targets on a computer screen.
次要结局
未报告次要终点
研究者
Jane Huggins, PhD
Assistant Professor
University of Michigan