ClinicalTrials.Veeva

Menu

Brain Computer Interfaces (Mu Rhythm Learning)

University of Michigan logo

University of Michigan

Status

Terminated

Conditions

Mobility Impairments

Treatments

Procedure: Brain Computer Interface for Mu Rhythm

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

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.

Full description

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.

Enrollment

7 patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

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

Exclusion criteria

  • 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

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems