title: Toward independent home use of brain-computer interfaces: a decision algorithm for selection of potential end-users.
abstract: Noninvasive brain-computer interfaces (BCIs) use scalp-recorded electrical activity from the brain to control an application. Over the past 20 years, research demonstrating that BCIs can provide communication and control to individuals with severe motor impairment has increased almost exponentially. Although considerable effort has been dedicated to offline analysis for improving signal detection and translation, far less effort has been made to conduct online studies with target populations. Thus, there remains a great need for both long-term and translational BCI studies that include individuals with disabilities in their own homes. Completing these studies is the only sure means to answer questions about BCI utility and reliability. Here we suggest an algorithm for candidate selection for electroencephalographic (EEG)-based BCI home studies. This algorithm takes into account BCI end-users and their environment and should assist in study design and substantially improve subject retention rates, thereby improving the overall efficacy of BCI home studies. It is the result of a workshop at the Fifth International BCI Meeting that allowed us to leverage the expertise of multiple research laboratories and people from multiple backgrounds in BCI research.
authors.affiliation: Institute of Psychology, University of Würzburg, Würzburg, Germany. Electronic address: andrea.kuebler@uni-wuerzburg.de.
authors.forename: Andrea
authors.initials: A
authors.lastname: Kübler
authors.affiliation: Institute of Psychology, University of Würzburg, Würzburg, Germany.
authors.forename: Elisa Mira
authors.initials: EM
authors.lastname: Holz
authors.affiliation: Brain-Computer Interface Laboratory, Department of Psychology, East Tennessee State University, Johnson City, TN.
authors.forename: Eric W
authors.initials: EW
authors.lastname: Sellers
authors.affiliation: BCI Research and Development Program, Wadsworth Center, Albany, NY.
authors.forename: Theresa M
authors.initials: TM
authors.lastname: Vaughan
mesh_terms: D000465:Algorithms; D062207:Brain-Computer Interfaces; D003071:Cognition; D006233:Persons with Disabilities / Q000534:rehabilitation*; D004569:Electroencephalography; D004777:Environment; D006801:Humans; D018579:Patient Selection; D026741:Physical Therapy Modalities
keywords: Feasibility study; Rehabilitation; Reproducibility of results; Translational medical research