Phase-shift keying of EEG signals: Application to detect attention in multitalker scenarios

López-Gordo, M. A.; Pelayo, Francisco J.; Fernández, Eduardo; Padilla, Pablo

doi:10.1016/j.sigpro.2015.05.004

Cited by 13 publications

(19 citation statements)

References 43 publications

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“…Among the advantages, as cited in Section 4.1 , the markers based on brain activity (e.g., the RG) present a shorter response time and are less susceptible to physical activity. Additionally, the EEG provides powerful endogenous and cognitive information such as attention [ 48 , 49 , 50 ] that can be useful in certain scenarios. Regarding the limitations, the use of EEG provides a number of technical challenges such as additional sensors (thus less portability) or higher computational complexity.…”

Section: Discussionmentioning

confidence: 99%

Portable System for Real-Time Detection of Stress Level

Minguillón

Pérez

López-Gordo

et al. 2018

Sensors

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Currently, mental stress is a major problem in our society. It is related to a wide variety of diseases and is mainly caused by daily-life factors. The use of mobile technology for healthcare purposes has dramatically increased during the last few years. In particular, for out-of-lab stress detection, a considerable number of biosignal-based methods and systems have been proposed. However, these approaches have not matured yet into applications that are reliable and useful enough to significantly improve people’s quality of life. Further research is needed. In this paper, we propose a portable system for real-time detection of stress based on multiple biosignals such as electroencephalography, electrocardiography, electromyography, and galvanic skin response. In order to validate our system, we conducted a study using a previously published and well-established methodology. In our study, ten subjects were stressed and then relaxed while their biosignals were simultaneously recorded with the portable system. The results show that our system can classify three levels of stress (stress, relax, and neutral) with a resolution of a few seconds and 86% accuracy. This suggests that the proposed system could have a relevant impact on people’s lives. It can be used to prevent stress episodes in many situations of everyday life such as work, school, and home.

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Section: Discussionmentioning

confidence: 99%

Portable System for Real-Time Detection of Stress Level

Minguillón

Pérez

López-Gordo

et al. 2018

Sensors

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“…The goal of Experiment I was to replicate previous monaural conditions in a left/right manner (Lopez‐Gordo et al. ) as a preparation for exploring the virtual‐space paradigm. In experiment II, spatial attention was guided by the location of a visual target that randomly appeared among two locations on a computer screen.…”

Section: Methodsmentioning

confidence: 99%

“…; Lopez‐Gordo et al. ) on each trial, we first tried combining five trials and used the mean vector as a decision variable. Except for two subjects, this combination was insufficient for producing relatively consistent performance over different recording sessions.…”

Section: Methodsmentioning

confidence: 99%

“…Compared with the study by Lopez‐Gordo et al. () that generated monaural sound to either the left or right ear, our configuration allowed the presentation of sound coming from any virtual location, such as 30° and 80° to the right.…”

Section: Introductionmentioning

confidence: 99%

“…Later, a “phase‐tagging” approach was developed (Lopez‐Gordo and Pelayo ; Lopez‐Gordo et al. ), in which the modulation frequencies for up to six concurrent speech sounds were the same, while each sound had a unique phase value.…”

Section: Introductionmentioning

confidence: 99%

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Decoding spatial attention with EEG and virtual acoustic space

Dong

Raif

Determan

et al. 2017

Physiological Reports

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Decoding spatial attention based on brain signals has wide applications in brain–computer interface (BCI). Previous BCI systems mostly relied on visual patterns or auditory stimulation (e.g., loudspeakers) to evoke synchronous brain signals. There would be difficulties to cover a large range of spatial locations with such a stimulation protocol. The present study explored the possibility of using virtual acoustic space and a visual‐auditory matching paradigm to overcome this issue. The technique has the flexibility of generating sound stimulation from virtually any spatial location. Brain signals of eight human subjects were obtained with a 32‐channel Electroencephalogram (EEG). Two amplitude‐modulated noise or speech sentences carrying distinct spatial information were presented concurrently. Each sound source was tagged with a unique modulation phase so that the phase of the recorded EEG signals indicated the sound being attended to. The phase‐tagged sound was further filtered with head‐related transfer functions to create the sense of virtual space. Subjects were required to pay attention to the sound source that best matched the location of a visual target. For all the subjects, the phase of a single sound could be accurately reflected over the majority of electrodes based on EEG responses of 90 s or less. The electrodes providing significant decoding performance on auditory attention were fewer and may require longer EEG responses. The reliability and efficiency of decoding with a single electrode varied with subjects. Overall, the virtual acoustic space protocol has the potential of being used in practical BCI systems.

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