Brain Computer Interface Control of a Robotic Device
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 23
- 试验地点
- 1
- 主要终点
- Percent of trials correct within each session of Brain Computer Interface experiments.
研究概览
简要总结
Noninvasive Brain-Computer Interfaces (BCIs) have been used to control a number of virtual and physical objects through the voluntary modulation of brain rhythms. Current issues with noninvasive BCIs include exhausting motor imagery tasks and long training times required to achieve competent control. The investigators will address these issues within this protocol, examining new approaches to reduce the effort required by subjects to control a physical object in the task.
The PI's hypothesis is: Control of a physical robotic device will increase the performance of subjects in BCI tasks that are analogous to virtual tasks due to greater engagement with a physical output.
详细描述
Subjects will be recruited to participate in controlling a physical robotic device such as a quadcopter or a robotic arm using imagination of movement or other activities as detected by brain waves that can be used to control a robotic device.
The subjects will be able to observe the controlling of a robotics device using one's thought and participate in multiple sessions to learn the skills to better control such a device.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 64 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Subjects for this study will be healthy, English speaking adult volunteers (18-64 years old).
排除标准
- •History of neurological deficit or traumatic brain injury.
结局指标
主要结局
Percent of trials correct within each session of Brain Computer Interface experiments.
时间窗: Session 1 through 10, within an average of 5 weeks. Each session separated by at least 24 hours.
Accuracy and performance metrics of Brain-Computer Interface tasks over time. This will include the percent of trials correct, percent of trials completed, and time to completion within each session. Combining these metrics, we will examine subject learning over sessions with regression. Exact time frame of sessions will be determined by subject and equipment availability.
次要结局
未报告次要终点