Microgrid II - Electrocorticography Signals for Human Hand Prosthetics

Status unconfirmed

Conditions studied: Epilepsy Intractable

In brief

Neurologic disease with loss of motor function is a major health burden. Brain-computer interfaces (BCI) are systems that use brain signals to power an external device, such as a communication board or a prosthetic device, which may help people with loss of motor function. Electrocorticography (ECoG) has been used to decode hand movements and as a control signal for brain-computer interface (BCI). This study hopes to use a smaller spacing of ECoG to see if a better motor signal can be found and used as a BCI control signal.

Key facts

Study ID

NCT03289572

Run by

University of Washington

People needed

20

Starts

2015-11-01

Expected to finish

2024-12-01

Last updated by the study team

2021-04-27

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Must be able to speak and read English
• Cognitive ability to follow study directions
• Patients that are scheduled to undergo grid placement clinically for treatment of
• intractable epilepsy
• 18 years of age or older

You may not qualify if…

• Patients who are not considered candidates for epilepsy surgery
• Individuals who have a diagnosis that would not allow them to participate in research procedures. For example, a physical disability that would limit hand movements and range of motion.

Where it is running

• Harborview Medical Center — Seattle, Washington, United States (enrolling)

Full record on ClinicalTrials.gov

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