Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution
- Publication Date
- August 27, 2014
- Journal
- PLOS ONE
- Authors
- Johannes Höhne, Elisa Holz, Pit Staiger Sälzer, Klaus Robert Müller, et al
- Volume
- 9
- Issue
- 8
- Pages
- e104854
- DOI
- https://dx.plos.org/10.1371/journal.pone.0104854
- Publisher URL
- http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0104854
- PubMed
- http://www.ncbi.nlm.nih.gov/pubmed/25162231
- PubMed Central
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4146550
- Europe PMC
- http://europepmc.org/abstract/MED/25162231
- Web of Science
- 000340880900021
- Scopus
- 84916235336
- Mendeley
- http://www.mendeley.com/research/motor-imagery-severely-motorimpaired-patients-evidence-braincomputer-interfacing-superior-control-so
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Mendeley | Further Information
{"title"=>"Motor imagery for severely motor-impaired patients: Evidence for brain-computer interfacing as superior control solution", "type"=>"journal", "authors"=>[{"first_name"=>"Johannes", "last_name"=>"Höhne", "scopus_author_id"=>"23492319400"}, {"first_name"=>"Elisa", "last_name"=>"Holz", "scopus_author_id"=>"54681816900"}, {"first_name"=>"Pit", "last_name"=>"Staiger-Sälzer", "scopus_author_id"=>"6504032774"}, {"first_name"=>"Klaus Robert", "last_name"=>"Müller", "scopus_author_id"=>"15042362900"}, {"first_name"=>"Andrea", "last_name"=>"Kübler", "scopus_author_id"=>"7005589429"}, {"first_name"=>"Michael", "last_name"=>"Tangermann", "scopus_author_id"=>"23006710500"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"25162231", "sgr"=>"84916235336", "doi"=>"10.1371/journal.pone.0104854", "scopus"=>"2-s2.0-84916235336", "pui"=>"373852481", "issn"=>"19326203"}, "id"=>"af2f4235-3bc9-33cc-8f64-f741f9f9ad24", "abstract"=>"Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for severely handicapped people with no means of muscular control. These potential users of noninvasive BCIs display a large range of physical and mental conditions. Prior studies have shown the general applicability of BCI with patients, with the conflict of either using many training sessions or studying only moderately restricted patients. We present a BCI system designed to establish external control for severely motor-impaired patients within a very short time. Within only six experimental sessions, three out of four patients were able to gain significant control over the BCI, which was based on motor imagery or attempted execution. For the most affected patient, we found evidence that the BCI could outperform the best assistive technology (AT) of the patient in terms of control accuracy, reaction time and information transfer rate. We credit this success to the applied user-centered design approach and to a highly flexible technical setup. State-of-the art machine learning methods allowed the exploitation and combination of multiple relevant features contained in the EEG, which rapidly enabled the patients to gain substantial BCI control. Thus, we could show the feasibility of a flexible and tailorable BCI application in severely disabled users. This can be considered a significant success for two reasons: Firstly, the results were obtained within a short period of time, matching the tight clinical requirements. Secondly, the participating patients showed, compared to most other studies, very severe communication deficits. They were dependent on everyday use of AT and two patients were in a locked-in state. For the most affected patient a reliable communication was rarely possible with existing AT.", "link"=>"http://www.mendeley.com/research/motor-imagery-severely-motorimpaired-patients-evidence-braincomputer-interfacing-superior-control-so", "reader_count"=>89, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Researcher"=>10, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>3, "Student > Master"=>22, "Other"=>1, "Student > Bachelor"=>18, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Researcher"=>10, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>3, "Student > Master"=>22, "Other"=>1, "Student > Bachelor"=>18, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>27, "Unspecified"=>8, "Nursing and Health Professions"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>6, "Medicine and Dentistry"=>5, "Arts and Humanities"=>3, "Neuroscience"=>2, "Sports and Recreations"=>2, "Psychology"=>12, "Social Sciences"=>1, "Computer Science"=>19}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>27}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Neuroscience"=>{"Neuroscience"=>2}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>12}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Computer Science"=>{"Computer Science"=>19}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>8}, "Arts and Humanities"=>{"Arts and Humanities"=>3}}, "reader_count_by_country"=>{"Hungary"=>1, "Belgium"=>1, "United States"=>1, "United Kingdom"=>2, "Algeria"=>1, "Germany"=>1, "Spain"=>1}, "group_count"=>3}CrossRef
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Scopus | Further Information
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- {"id"=>"505028759351988224", "text"=>"#BrainComputerInterfaces arbeiten inzwischen sehr zuverlässig\n►http://t.co/T48tRoXQwY\n►@PLOS @pchilfe", "created_at"=>"2014-08-28T16:26:53Z", "user"=>"pchilfe", "user_name"=>"PC HILFE DE", "user_profile_image"=>"http://pbs.twimg.com/profile_images/428161909221646337/xI7FhlFq_normal.png"}
- {"id"=>"505439462122196992", "text"=>"#PLOSONE: Motor Imagery for Severely Motor-Impaired Patients: http://t.co/nVrqJ7br9Q", "created_at"=>"2014-08-29T19:38:53Z", "user"=>"Stubsal", "user_name"=>"Susi Ramsch", "user_profile_image"=>"http://abs.twimg.com/sticky/default_profile_images/default_profile_3_normal.png"}
- {"id"=>"505440615933300737", "text"=>"# #PLOSONE: Motor Imagery for Severely Motor-Impaired Patients - a recently published BCI paper: http://t.co/8N9hxbLk5m", "created_at"=>"2014-08-29T19:43:28Z", "user"=>"Brain_Products", "user_name"=>"Brain Products", "user_profile_image"=>"http://pbs.twimg.com/profile_images/477603935285297153/9gEbEkyc_normal.jpeg"}
- {"id"=>"505441014513803264", "text"=>"#PLOSONE: Motor Imagery for Severely Motor-Impaired Patients: Evidence for BCI as Superior Control Solution: http://t.co/8N9hxbLk5m", "created_at"=>"2014-08-29T19:45:03Z", "user"=>"Brain_Products", "user_name"=>"Brain Products", "user_profile_image"=>"http://pbs.twimg.com/profile_images/477603935285297153/9gEbEkyc_normal.jpeg"}
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Relative Metric
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