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Microgrid II - Electrocorticography Signals for Human Hand Prosthetics

NCT03289572 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2021-04-27

No results posted yet for this study

Summary

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.

Conditions

  • Epilepsy Intractable

Sponsors & Collaborators

Principal Investigators

  • Jeffrey G Ojemann, MD · University of Washington

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-11-30
Primary Completion
2023-12-31
Completion
2024-12-31

Countries

  • United States

Study Locations

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Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03289572 on ClinicalTrials.gov