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Beta Wave

The Experts below are selected from a list of 270 Experts worldwide ranked by ideXlab platform

H. Minamitani – 1st expert on this subject based on the ideXlab platform

  • Parametric analysis of saccadic eye movement depending on vigilance states
    Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1996
    Co-Authors: A. Ueno, M. Takase, H. Minamitani

    Abstract:

    The purpose of this study was to investigate the relationship between characteristic of saccadic eye movement and vigilance state. The authors surveyed this by comparing the Waveform parameter of saccadic velocity to EEG parameter obtained from spectral power of /spl alpha/ and /spl Beta/ Wave band or to subjective vigilance states and sleepness. The authors’ result showed that the shapes of saccadic velocity became blunt according to a decline in the vigilance state and also to a increase in sleepiness. This indicated the possibility for estimation of vigilance states by using characteristics of saccadic eye movement.

  • Relationship between vigilance levels and characteristics of saccadic eye movement
    Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995
    Co-Authors: A. Ueno, M. Takase, H. Minamitani

    Abstract:

    The purpose of this study was to investigate the possibility for evaluating vigilance levels using a parameter of saccadic eye movement. EEG was measured and analyzed by means of fast Fourier transform, and the spectral power of /spl alpha/ and /spl Beta/ Wave bands were obtained so as to extract [/spl Beta/]/[/spl alpha/+/spl Beta/] which was assumed to reflect vigilance levels. Eye movement was measured so as to calculate saccadic peak velocity (SPV) and relative SPV (RSPV) which was normalized by the mean SPV at the corresponding amplitude of saccade. The relationship between [/spl Beta/]/[/spl alpha/+/spl Beta/] and RSPV was investigated and it revealed that RSPV decreased according to the decline in the vigilance level. This indicates the possibility for evaluating vigilance levels using RSPV.

P.k. Plinkert – 2nd expert on this subject based on the ideXlab platform

  • Objective detection of the central auditory processing disorder:A new machine learning approach
    IEEE Transactions on Biomedical Engineering, 2004
    Co-Authors: D.j. Strauss, W. Delb, P.k. Plinkert

    Abstract:

    The objective detection of binaural interaction is of diagnostic interest for the evaluation of the central auditory processing disorder (CAPD). The /spl Beta/-Wave of the binaural interaction component in auditory brainstem responses has been suggested as an objective measure of binaural interaction and has been shown to be of diagnostic value in the CAPD diagnosis. However, a reliable and automated detection of the /spl Beta/-Wave capable of clinical use still remains a challenge. We propose a new machine learning approach to the detection of the CAPD that is based on adapted tight frame decompositions which are tailored for support vector machines with radial kernels. Using shift-invariant scale and morphological features of the binaurally evoked brainstem potentials, our approach provides at least comparable results to the /spl Beta/-Wave detection in view of the discrimination of subjects being at risk for CAPD and subjects being not at risk for CAPD. Furthermore, as no information from the monaurally evoked potentials is necessary, the measurement cost is reduced by two-thirds compared to the computation of the binaural interaction component. We conclude that a machine learning approach in the form of a hybrid tight frame-support vector classification is effective in the objective detection of the CAPD.

  • Identification of central auditory processing disorders by scale and entropy features of binaural auditory brainstem potentials
    First International IEEE EMBS Conference on Neural Engineering 2003. Conference Proceedings., 2003
    Co-Authors: D.j. Strauss, W. Delb, P.k. Plinkert

    Abstract:

    The /spl Beta/-Wave of the binaural interaction component in auditory brainstem responses has been suggested as an objective measure of binaural interaction and has been shown to be of diagnostic value in the diagnosis of the central auditory processing disorder (CAPD). However, a reliable and automated detection of the /spl Beta/-Wave capable of clinical use still remains a challenge. In this correspondence, we introduce a new approach to the identification of the CAPD by scale and entropy features of binaural auditory brainstem potentials. For the feature extraction, we apply adapted tight-frame decompositions which are tailored for a subsequent classification by support vector machines. Our approach provides at least comparable results as the Beta detection for the discrimination of patients being at risk for CAPD and patients not being at risk for CAPD but with the major advantage that it is truly objective. Furthermore, as no information from the monaurally evoked potentials is necessary, the measurement cost is reduced by two third compared to the computation of the binaural interaction component We conclude that a classification of scale and entropy features of binaural auditory brainstem potentials is very effective for the identification of central auditory processing disorders.

  • Binaurale Differenzpotenziale: Normalwertebestimmung und Einfluss einer interauralen Zeit- und Pegeldifferenz
    Laryngo-rhino-otologie, 2002
    Co-Authors: Wolfgang Delb, Gregor Hohenberg, Daniel J. Strauss, P. Spiegel, P.k. Plinkert

    Abstract:

    BACKGROUND: Binaural interaction components of auditory brainstem responses have long been studied and its BetaWave has been shown to be correlated with directional hearing ability. As patients with auditory processing disorders such as patients with some sorts of learning disabilities frequently have difficulties with binaural processing it seems sensible to use binaural interaction components in the diagnosis of these disorders. METHODS: In order to obtain normal values and to investigate the influence of interaural time (ITD) and level differences (ILD) binaural interaction components were measured in 21 adults. Interaural time differences varied between 0 and 1.2 ms and interaural level differences between 0 and 30 dB. RESULTS: Beta-latencies increased significantly as interaural time differences increased while Beta-amplitudes did not change significantly. In measurements with higher interaural time differences detection of the BetaWave was only rarely possible. The effect of interaural level differences on Beta-latencies was less pronounced and not significant as well as the influence of interaural level differences on Beta-amplitudes. CONCLUSIONS: In the present study it could be shown that the BetaWave of the binaural interaction Waveform is present in almost every normal hearing subject. As amplitudes show a considerable variation Beta-latencies seem to be of higher diagnostic value than amplitudes.

A. Ueno – 3rd expert on this subject based on the ideXlab platform

  • Parametric analysis of saccadic eye movement depending on vigilance states
    Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1996
    Co-Authors: A. Ueno, M. Takase, H. Minamitani

    Abstract:

    The purpose of this study was to investigate the relationship between characteristic of saccadic eye movement and vigilance state. The authors surveyed this by comparing the Waveform parameter of saccadic velocity to EEG parameter obtained from spectral power of /spl alpha/ and /spl Beta/ Wave band or to subjective vigilance states and sleepness. The authors’ result showed that the shapes of saccadic velocity became blunt according to a decline in the vigilance state and also to a increase in sleepiness. This indicated the possibility for estimation of vigilance states by using characteristics of saccadic eye movement.

  • Relationship between vigilance levels and characteristics of saccadic eye movement
    Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995
    Co-Authors: A. Ueno, M. Takase, H. Minamitani

    Abstract:

    The purpose of this study was to investigate the possibility for evaluating vigilance levels using a parameter of saccadic eye movement. EEG was measured and analyzed by means of fast Fourier transform, and the spectral power of /spl alpha/ and /spl Beta/ Wave bands were obtained so as to extract [/spl Beta/]/[/spl alpha/+/spl Beta/] which was assumed to reflect vigilance levels. Eye movement was measured so as to calculate saccadic peak velocity (SPV) and relative SPV (RSPV) which was normalized by the mean SPV at the corresponding amplitude of saccade. The relationship between [/spl Beta/]/[/spl alpha/+/spl Beta/] and RSPV was investigated and it revealed that RSPV decreased according to the decline in the vigilance level. This indicates the possibility for evaluating vigilance levels using RSPV.