Auditory brain-computer interfaces (BCIs) and their practical applications

Kim, Do Won; Lee, Jun Chang; Park, Young Min; Kim, In Young; Im, Chang‐Hwan

doi:10.1007/s13534-012-0051-1

Cited by 19 publications

(10 citation statements)

References 32 publications

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“…The setup is also not as expensive and bulky as that of MEG or fMRI, and no surgery is needed, as in the case of ECoG. Hence, various paradigms for EEG-based BCIs have been developed, such as the event-related potential (ERP), steady-state visual evoked potential (SSVEP), auditory steady-state response (ASSR), slow cortical potentials, event-related desynchronization (ERD), and event-related synchronization (ERS) [10,11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications

Kim

Lee

Han

et al. 2019

Sensors

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We developed a new type of electroencephalogram (EEG) headset system with comb-shaped electrodes that enables the wearer to quickly don and utilize it in daily life. Two models that can measure EEG signals using up to eight channels have been implemented. The electrodes implemented in the headsets are similar to a comb and are placed quickly by wiping the hair (as done with a comb) using the headset. To verify this headset system, donning time was measured and three brain computer interface (BCI) application experiments were conducted. Alpha rhythm-based, steady-state visual evoked potential (SSVEP)-based, and auditory steady state response (ASSR)-based BCI systems were adopted for the validation experiments. Four subjects participated and ten trials were repeated in the donning experiment. The results of the validation experiments show that reliable EEG signal measurement is possible immediately after donning the headsets without any preparation. It took approximately 10 s for healthy subjects to don the headsets, including an earclip with reference and ground electrodes. The results of alpha rhythm-based BCI showed 100% accuracy. Furthermore, the results of SSVEP-based and ASSR-based BCI experiments indicate that performance is sufficient for BCI applications; 95.7% and 76.0% accuracies were obtained, respectively. The results of BCI paradigm experiments indicate that the new headset type is feasible for various BCI applications.

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Section: Introductionmentioning

confidence: 99%

An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications

Kim

Lee

Han

et al. 2019

Sensors

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“…Moreover, daily usage of tactile BCI is hard because most people do not have tactile stimulators at home (Kaufmann et al, 2013). Thus, there has been an increasing interest towards auditory BCI (aBCI), which mainly uses auditory selective attention (Hill et al, 2004;Kanoh et al, 2008;Nijboer et al, 2008;Furdea et al, 2009;Klobassa et al, 2009;Halder et al, 2010;Schreuder et al, 2010;Higashi et al, 2011;Höhne et al, 2011;Kim et al, 2011;Schreuder et al, 2011;Höhne et al, 2012;Kim et al, 2012;Lopez-Gordo et al, 2012b;Lopez-Gordo et al, 2012a;Käthner et al, 2013;Nakamura et al, 2013;Simon et al, 2014;Kleih et al, 2015;Halder et al, 2016;Zhou et al, 2016;Heo et al, 2017;Kaongoen and Jo, 2017;Jalilpour and Sardouie, 2018;Ogino et al, 2019) or auditory imagery (González et al, 2019) to influence event-related potentials (ERPs) and/or auditory steady-state responses (ASSRs). ASSR is chiefly evoked by listening to amplitude-modulated (AM) tones, and its spectrum has peaks at message frequency (fm) (Picton et al, 2003;Lopez et al, 2009;Tanaka et al, 2013;Tanaka et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Introducing Rhythmic Sinusoidal Amplitude-Modulated Auditory Stimuli with Multiple Message Frequency Coding for Fatigue Reduction in Normal Subjects: An EEG Study

Shamsi

Keihani

Shirzhiyan

et al. 2019

Preprint

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“…The Brain computer interface (BCI) technology could provide a good paradigm for a user to be attentively engaged in the contents that the computer provides. In BCI, one of the key components is to hook the user's current intention or perception by analyzing their EEG, so that a computer could perform what the user wants [11][12][13]. Steady state visually evoked potentials (SSVEPs) are brain responses that occur when a person observes flickering stimuli, and are one of the features that computers could recognize when a user observes a specific stimulus [14].…”

Section: Introductionmentioning

confidence: 99%

Flickering exercise video produces mirror neuron system (MNS) activation and steady state visually evoked potentials (SSVEPs)

Lim

2017

Biomed. Eng. Lett.

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The action of observing can be used as an effective rehabilitation paradigm, because it activates the mirror neuron system. However, it is difficult to fully use this paradigm because it is difficult to get patients to engage in watching video clips of exercise. In this study, we proposed a steady state visually evoked potential (SSVEP) based paradigm that could be used in a Brain Computer Interface, and examined its feasibility by investigating whether flickering video could activate the mirror neuron system and evoke SSVEPs at the same time. Twenty subjects were recruited and asked to watch the flickering videos at a rate of 20 Hz of upper limb motion and visual white noise, while an EEG signal was recorded. The mu rhythm (8-13 Hz) suppression and the SSVEP (19-21 Hz) evocation were analyzed from recorded EEG. The results showed that SSVEPs, evoked by the flickering stimulus, was observed in both conditions on O1 and O2, but the mu rhythm suppression on C3 and C4 was observed only in the exercise video condition. These results could signify that the flickering video is applicable for the BCI rehabilitation game, activating the mirror neuron system at the same time. Keywords Mirror neuron system (MNS) Á Action observation training Á Steady state visually evoked potential (SSVEP) Á Brain computer interface (BCI) Á Rehabilitation Á Stroke

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Auditory brain-computer interfaces (BCIs) and their practical applications

Cited by 19 publications

References 32 publications

An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications

An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications

Introducing Rhythmic Sinusoidal Amplitude-Modulated Auditory Stimuli with Multiple Message Frequency Coding for Fatigue Reduction in Normal Subjects: An EEG Study

Flickering exercise video produces mirror neuron system (MNS) activation and steady state visually evoked potentials (SSVEPs)

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