Evaluation of divided attention using different stimulation models in event-related potentials.
Divided attention is defined as focusing on different tasks at once, and this is described as one of the biggest problems of today's society. Default examinations for understanding attention are questionnaires or physiological signals, like evoked potentials and electroencephalography. Physiological...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 9; pp. 2069 - 2080 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138201478&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138201478 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2019 vid: 57 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 138201478 138201478 NLM31352660 138201478 10.1007/s11517-019-02013-x NLM31352660 138201478 ppf: 2069 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Evaluation of divided attention using different stimulation models in event-related potentials. aug: au: Batbat, Turgay Güven, Ayşegül Dolu, Nazan affil: Faculty of Engineering, Erciyes University, Kayseri, Turkey sug: subj: Evoked Potentials Physiology Signal Processing, Computer Assisted Electroencephalography Methods Attention Adult Physical Stimulation Research, Medical Young Adult Physics Adolescence Reproducibility of Results Acoustic Stimulation Female Male Mathematics Funding Source Human Adult: 19-44 years Adolescent: 13-18 years Female Male ab: Divided attention is defined as focusing on different tasks at once, and this is described as one of the biggest problems of today's society. Default examinations for understanding attention are questionnaires or physiological signals, like evoked potentials and electroencephalography. Physiological records were obtained using visual, auditory, and auditory-visual stimuli combinations with 48 participants-18-25-year-old university students-to find differences between sustained and divided attention. A Fourier-based filter was used to get a 0.01-30-Hz frequency band. Fractal dimensions, entropy values, power spectral densities, and Hjorth parameters from electroencephalography and P300 components from evoked potentials were calculated as features. To decrease the size of the feature set, some features, which yield less detail level for data, were eliminated. The visual and auditory stimuli in selective attention were compared with the divided attention state, and the best accuracy was found to be 88.89% on a support vector machine with linear kernel. As a result, it was seen that divided attention could be more difficult to determine from selective attention, but successful classification could be obtained with appropriate methods. Contrary to literature, the study deals with the infrastructure of attention types by working on a completely healthy and attention-high group. Graphical abstract. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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