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Children will be considered to have a neurodevelopmental disability if they have cerebral palsy, a gross motor classification score ≥1 [ 40], blindness, deafness or developmental delay, defined as a standardised score for cognitive, motor or language scales more than 1 SD below the mean [ 41].
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Digital processing of electroencephalography (EEG) signals has now been popularly used in a wide variety of applications such as seizure detection/prediction, motor imagery classification, mental task classification, emotion classification, sleep state classification, and drug effects diagnosis.
Another statistical method was presented by Tam et al. [34], who proposed a channel selection method for motor imagery classification based on the sorting of common spatial pattern (CSP) filter coefficients.
Design: A 2 × (15 × 3) mixed, block design was used retrospectively to analyze the impact of gender on subjects matched for age, American Spinal Injury Association ASIAA) motor impairment classification, and level of neurologic injury.
Motor imagery classification is very important for certain patients.
A modified time-frequency-spatial synthesized method was used for right and left motor imagery classification.
Some of the adopted channel selection techniques for motor imagery classification are categorized as wrapper techniques.
Section 3 discusses channel selection for seizure detection/prediction. Section 4 is devoted for channel selection for motor imagery classification.
It is observed from this study that channel selection has been investigated intensively in motor imagery classification with a variety of techniques.
The common thread between the channel selection techniques adopted for motor imagery classification and categorized as filtering techniques is that they are based on EEG signal statistics.
Lal et al. [40] adopted feature selection algorithms, recursive feature elimination (RFE), and zero-norm optimization based on the training of SVMs for channel selection and demonstrated the usefulness of these operations on motor imagery classification.
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