Refine
Has Fulltext
- yes (13)
Is part of the Bibliography
- yes (13)
Document Type
- Journal article (13)
Language
- English (13) (remove)
Keywords
- P300 (4)
- brain-computer interface (4)
- event-related potentials (4)
- EEG (3)
- electroencephalography (3)
- Psychologie (2)
- amyotrophic lateral sclerosis (2)
- assistive technology (2)
- brain computer interface (2)
- communication (2)
- locked-in state (2)
- man-computer interface (2)
- ALS (1)
- BCI (1)
- DTI (1)
- NVLT (1)
- acoustic signals (1)
- amyothropic lateral sclerosis (1)
- amyotrophic-lateral-sclerosis (1)
- aptitude (1)
- auditory BCI (1)
- auditory P300-BCI (1)
- auditory brain-computer interface (1)
- auditory stimulation (1)
- brain–computer interfaces (1)
- coma (1)
- consciousness (1)
- disability (1)
- electrocorticography (1)
- electrode potentials (1)
- electrooculography (1)
- emotional stability (1)
- end-user evaluation (1)
- epidural recording (1)
- event-related potential (1)
- experimental design (1)
- eye tracking (1)
- face perception (1)
- fractional anisotropy (1)
- frequencies (1)
- functional magnetic imaging (1)
- gaze independence (1)
- head-mounted display (1)
- human performance (1)
- independence (1)
- intraoperative electrocoicography (1)
- limited mobility (1)
- motor imagery (1)
- neuroprosthetic devices (1)
- paralyzed patients (1)
- physical properties (1)
- practical electrodes (1)
- predictors (1)
- rapid BCI (1)
- sleep (1)
- speller performance (1)
- stimulus (1)
- temporal-lobe epilepsy (1)
- topography (1)
- vision (1)
- visual P300-BCI (1)
Institute
The novel BackHome system offers individuals with disabilities a range of useful services available via brain-computer interfaces (BCIs), to help restore their independence. This is the time such technology is ready to be deployed in the real world, that is, at the target end users’ home. This has been achieved by the development of practical electrodes, easy to use software, and delivering telemonitoring and home support capabilities which have been conceived, implemented, and tested within a user-centred design approach. The final BackHome system is the result of a 3-year long process involving extensive user engagement to maximize effectiveness, reliability, robustness, and ease of use of a home based BCI system. The system is comprised of ergonomic and hassle-free BCI equipment; one-click software services for Smart Home control, cognitive stimulation, and web browsing; and remote telemonitoring and home support tools to enable independent home use for nonexpert caregivers and users. BackHome aims to successfully bring BCIs to the home of people with limited mobility to restore their independence and ultimately improve their quality of life.
Brain–computer interfaces (BCIs) enable paralyzed patients to communicate; however, up to date, no creative expression was possible. The current study investigated the accuracy and user-friendliness of P300-Brain Painting, a new BCI application developed to paint pictures using brain activity only. Two different versions of the P300-Brain Painting application were tested: A colored matrix tested by a group of ALS-patients (n = 3) and healthy participants (n = 10), and a black and white matrix tested by healthy participants (n = 10). The three ALS-patients achieved high accuracies; two of them reaching above 89% accuracy. In healthy subjects, a comparison between the P300-Brain Painting application (colored matrix) and the P300-Spelling application revealed significantly lower accuracy and P300 amplitudes for the P300-Brain Painting application. This drop in accuracy and P300 amplitudes was not found when comparing the P300-Spelling application to an adapted, black and white matrix of the P300-Brain Painting application. By employing a black and white matrix, the accuracy of the P300-Brain Painting application was significantly enhanced and reached the accuracy of the P300-Spelling application. ALS-patients greatly enjoyed P300-Brain Painting and were able to use the application with the same accuracy as healthy subjects. P300-Brain Painting enables paralyzed patients to express themselves creatively and to participate in the prolific society through exhibitions.
Brain-computer interfaces (BCIs) can serve as muscle independent communication aids. Persons, who are unable to control their eye muscles (e.g., in the completely locked-in state) or have severe visual impairments for other reasons, need BCI systems that do not rely on the visual modality. For this reason, BCIs that employ auditory stimuli were suggested. In this study, a multiclass BCI spelling system was implemented that uses animal voices with directional cues to code rows and columns of a letter matrix. To reveal possible training effects with the system, 11 healthy participants performed spelling tasks on 2 consecutive days. In a second step, the system was tested by a participant with amyotrophic lateral sclerosis (ALS) in two sessions. In the first session, healthy participants spelled with an average accuracy of 76% (3.29 bits/min) that increased to 90% (4.23 bits/min) on the second day. Spelling accuracy by the participant with ALS was 20% in the first and 47% in the second session. The results indicate a strong training effect for both the healthy participants and the participant with ALS. While healthy participants reached high accuracies in the first session and second session, accuracies for the participant with ALS were not sufficient for satisfactory communication in both sessions. More training sessions might be needed to improve spelling accuracies. The study demonstrated the feasibility of the auditory BCI with healthy users and stresses the importance of training with auditory multiclass BCIs, especially for potential end-users of BCI with disease.