CAUCHY NON-CONVEX SPARSE FEATURE SELECTION METHOD FOR THE HIGH-DIMENSIONAL SMALL-SAMPLE PROBLEM IN MOTOR IMAGERY EEG DECODING

Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding.However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant challenges for motor imagery decoding.Sparse regularization is an effective method for addressing this i

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Pseudo-Premature Ventricular Complex Can Herald Device Malfunction

The increasing number of complex functions in implantable Cooktop Burner Gasket devices demands for an increased ability to recognize these features during patient monitoring and assessment.New device algorithm and lead structures are embryonic concerning device implantation; hence, we should familiarize ourselves and become alert of different type

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