A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity
| العنوان: | A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity |
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| المؤلفون: | Claudia Sannelli, Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre |
| المساهمون: | Universidad Pública de Navarra. Departamento de Matemáticas, Nafarroako Unibertsitate Publikoa. Matematika Saila |
| المصدر: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname PLoS ONE, Vol 14, Iss 1, p e0207351 (2019) Academica-e: Repositorio Institucional de la Universidad Pública de Navarra Universidad Pública de Navarra PLoS ONE |
| بيانات النشر: | Plos one, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Male, Man-Computer Interface, Physiology, Computer science, Speech recognition, Electroencephalography, Linear Discriminant Analysis, Session (web analytics), Task (project management), Mathematical and Statistical Techniques, 0302 clinical medicine, ddc:150, Medicine and Health Sciences, Clinical Neurophysiology, Brain Mapping, Multidisciplinary, medicine.diagnostic_test, Applied Mathematics, Simulation and Modeling, Statistics, 05 social sciences, Brain, Middle Aged, Electrophysiology, Signal Filtering, Bioassays and Physiological Analysis, Brain Electrophysiology, Categorization, Brain-Computer Interfaces, Calibration, Physical Sciences, Engineering and Technology, Medicine, Female, Sensorimotor Cortex, Anatomy, Algorithms, Research Article, Adult, Adolescent, Imaging Techniques, Science, Neurophysiology, Neuroimaging, Research and Analysis Methods, 050105 experimental psychology, Young Adult, 03 medical and health sciences, Motor imagery, medicine, Humans, 0501 psychology and cognitive sciences, Left Hemisphere, ddc:610, SMRbased BCI, Statistical Methods, Aged, Brain–computer interface, Scalp, Resting state fMRI, Electrophysiological Techniques, Biology and Life Sciences, Biofeedback, Psychology, Eigenvalues, Bandpass Filters, Algebra, Linear Algebra, Sensorimotor rhythm, Human Factors Engineering, Signal Processing, Clinical Medicine, Head, Cerebral Hemispheres, Mathematics, 030217 neurology & neurosurgery, Neuroscience |
| الوصف: | Brain-Computer Interfaces (BCIs) are inefficient for a non-negligible part of the population, estimated around 25%. To understand this phenomenon in Sensorimotor Rhythm (SMR) based BCIs, data from a large-scale screening study conducted on 80 novice participants with the Berlin BCI system and its standard machine-learning approach were investigated. Each participant performed one BCI session with resting state Encephalography, Motor Observation, Motor Execution and Motor Imagery recordings and 128 electrodes. A significant portion of the participants (40%) could not achieve BCI control (feedback performance > 70%). Based on the performance of the calibration and feedback runs, BCI users were stratified in three groups. Analyses directed to detect and elucidate the differences in the SMR activity of these groups were performed. Statistics on reactive frequencies, task prevalence and classification results are reported. Based on their SMR activity, also a systematic list of potential reasons leading to performance drops and thus hints for possible improvements of BCI experimental design are given. The categorization of BCI users has several advantages, allowing researchers 1) to select subjects for further analyses as well as for testing new BCI paradigms or algorithms, 2) to adopt a better subject-dependent training strategy and 3) easier comparisons between different studies. This work was supported by German Ministry for Education and Research (BMBF) under Grants 01IS14013A-E, 01GQ1115 and 01GQ0850; Deutsche Forschungsgesellschaft (DFG) under Grant MU 987/19-1, MU987/14-1 and DFG MU 987/3-2; Brain Korea 21 Plus Program and by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (No. 2017-0-00451); and Spanish Ministry of Economy RYC-2014-15671. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::254aea3a27fd70117cf3916a6e78543fTest https://hdl.handle.net/2454/33792Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....254aea3a27fd70117cf3916a6e78543f |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |