2017
DOI: 10.1371/journal.pone.0181584
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Composing only by thought: Novel application of the P300 brain-computer interface

Abstract: The P300 event-related potential is a well-known pattern in the electroencephalogram (EEG). This kind of brain signal is used for many different brain-computer interface (BCI) applications, e.g., spellers, environmental controllers, web browsers, or for painting. In recent times, BCI systems are mature enough to leave the laboratories to be used by the end-users, namely severely disabled people. Therefore, new challenges arise and the systems should be implemented and evaluated according to user-centered desig… Show more

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Cited by 18 publications
(7 citation statements)
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“…Thus, a P300 potential is elicited whenever the letter the user is paying attention to flashes, and so the target letter can be identified by a P300 detection algorithm and then transmitted. The use-cases of P300-based BCIs have greatly increased over the past years, from steering a wheelchair ( Lopes et al, 2016 ) to composing music ( Pinegger et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, a P300 potential is elicited whenever the letter the user is paying attention to flashes, and so the target letter can be identified by a P300 detection algorithm and then transmitted. The use-cases of P300-based BCIs have greatly increased over the past years, from steering a wheelchair ( Lopes et al, 2016 ) to composing music ( Pinegger et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…The distribution of the preprocessing algorithms stays the same (see Figs. 8b and 8e), only CWT in the range about 70-90 Hz is much more important and the bandpower in the lower (8)(9)(10)(11)(12)(13) and the upper range (70-90 Hz) contributed. Interestingly, bandpower in the range of 39-47 Hz adds nothing to the classification.…”
Section: Resultsmentioning
confidence: 92%
“…b) Continuous Wavelet Transform (CWT): It is well known that wavelet transforms have good properties in the domain where non-periodicity and non-stationarity have to be assumed, which is true for EEG-signals [14]. In our research, ‡ These values are motivated by the fact that approximately 300 ms after a decision or stimulus, a unique pattern can be seen in the EEG (P300) [7], [8], which can be used for controlling BCI applications [9], [10]. we use a mexican-hat wavelet implemented in PyWavelets [16] which is defined in the time domain as:…”
Section: A Preprocessing Algorithmsmentioning
confidence: 99%
“…Grierson [110] proposed a "P300 composer" which allows to select and write notes using an interface based on the oddball paradigm and P300 evoked potentials. Pinegger et al [111] and Chew et al [112] used the P300 to select notes from a matrix. Miranda and coworkers contributed pioneering works on "Brain-Computer Musical Interfaces" (BCMIs) [95], and experimented especially with the use of SSVEPs [113], [114].…”
Section: ) Attentionmentioning
confidence: 99%