Abstract
Stroke has been one of the diseases with high incidence in the world, which is the main reason for adult deformity. It’s significant to diagnose stroke quickly and accurately. Currently the main diagnostic method of acute ischemic stroke is also Computed Tomography. Meanwhile, electroencephalogram (EEG) is an electrophysiological manifestation that directly reflects brain activity. Through the analysis of EEG, a large amount of physiological and pathological information can be found. Using qEEG as an indicator for the diagnosis of stroke patients has become a novel and prospective method. This paper proposed a classification method for stroke patients and healthy controls using Quadratic Discriminant Analysis. Four simple features of task-EEG which are RPR of Beta, Delta, DAR and DTABR were obtained by Welch’s method. The classification results showed the certain potential for qEEG as an diagnosis method.
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Pan, X., Chang, H., Liu, H. (2022). A Classification Method for Acute Ischemic Stroke Patients and Healthy Controls Based on qEEG. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13456. Springer, Cham. https://doi.org/10.1007/978-3-031-13822-5_49
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DOI: https://doi.org/10.1007/978-3-031-13822-5_49
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