Literature DB >> 9626686

Three methods compared for detecting the onset of alpha wave synchronization following eye closure.

L Kirkup1, A Searle, A Craig, P McIsaac, G Larsen.   

Abstract

Recent work indicates that the variation in the occipital alpha wave component of the EEG spectrum, controlled through eye closure, can be used by an untrained person to effect reliable activation of electrical devices. Here we describe and compare three real-time strategies, based on analogue and digital signal processing methods, of detecting the onset of alpha wave synchronization during eye closure. The goal of this work is to establish a method which satisfies the condition of rapid detection of alpha wave enhancement, thereby allowing for the efficient activation of devices, while simultaneously registering few or no false positives due to the natural variation in the alpha signal with eyes open. This work, based on measurements on 15 subjects in the age range 12 to 40 years, indicates that renal-time analysis of the EEG power spectrum provides for rapid detection of the onset of alpha wave synchronization while maintaining low counts of false positives.

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Year:  1998        PMID: 9626686     DOI: 10.1088/0967-3334/19/2/009

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  3 in total

1.  Effect of luminance level on electro-encephalogram alpha-wave synchronisation.

Authors:  A M Maher; L Kirkup; P Swift; D Martin; A Searle; Y Tran; A Craig
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

2.  Detection of alpha electro-encephalogram onset following eye closure using four location-based techniques.

Authors:  A Searle; L Kirkup
Journal:  Med Biol Eng Comput       Date:  2001-07       Impact factor: 3.079

3.  A Bipolar-Channel Hybrid Brain-Computer Interface System for Home Automation Control Utilizing Steady-State Visually Evoked Potential and Eye-Blink Signals.

Authors:  Dalin Yang; Trung-Hau Nguyen; Wan-Young Chung
Journal:  Sensors (Basel)       Date:  2020-09-24       Impact factor: 3.576

  3 in total

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