We propose in this work two main interpolationmethods (barycentric, spline) applicable to 3d EEG mapping. These 3dmethods are used to interpolate scalp potential activity in order to obtain a more efficient spatiote...
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ISBN:
(纸本)9781479938247
We propose in this work two main interpolationmethods (barycentric, spline) applicable to 3d EEG mapping. These 3dmethods are used to interpolate scalp potential activity in order to obtain a more efficient spatiotemporal resolution of EEG mapping. Starting from 19 electrodes to generate the potential representations of patients having various behavioral states, we obtain a 3d potential representation of 128 electrodes thanks to the 3d interpolation methods. The evaluation of these algorithms is realized by calculating the normalized Root Mean Squared error (RMS).
This work focuses on interpolationmethods which are proposed as solutions to the EEG source localization. First, a low pass and a high pass filter were applied to the EEG signal in order to remove EEG artifacts. Then...
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This work focuses on interpolationmethods which are proposed as solutions to the EEG source localization. First, a low pass and a high pass filter were applied to the EEG signal in order to remove EEG artifacts. Then, classical interpolation techniques such as three-dimensional (3d) K-nearest neighbor and3d spline were implemented. The major contribution of this article is to develop a new interpolation method called3d multiquadratic technique which is based on the Euclidean distances between the electrodes. A substitution of the Euclidean distance by the corresponding arc length was realized to promote the 3d spherical multiquadratic interpolation. Based on measured EEG recordings from 19 electrodes mounted on the scalp, these interpolationmethods (3d K-nearest neighbor, 3d spline, 3d multiquadratic and spherical multiquadratic) were applied to EEG recordings of 15 healthy subjects at rest and with closed eyes. The aim of EEG interpolation is to reach the maximum of the spatial resolution of EEG mapping by predicting the brain activity distribution of 109 virtual points located on the scalp surface. The evaluation of the different interpolationmethods was achieved by measuring the means of the normalized root mean squared error (NRMSE) and processing time. The results showed that the multiquadratic and3d spline interpolationmethods gave the minimum normalized root mean squared error, but the multiquadratic method was characterized by the minimal processing time compared with 3d K-nearest neighbor, 3d spline, and3d spherical multiquadratic methods. Finally, a Spectral density variation mapping of different cerebral waves (delta, theta, alpha and beta) with 128 electrodes was generated by applying the Fast Fourier Transform (FFT). (c) 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 191-198, 2015
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