accelerometers; electromyography; medical disorders; medical signal processing; pattern classification; signal classification; support vector machines; PNES classification accuracy; accelerometry signal; anterior deltoid; brachioradialis; convulsive psychogenic nonepileptic seizure classification; electroencephalogram; muscle activity; muscle transform; signal power; support vector machine classifier; upper limb muscle; video-electroencephalography monitoring; wavelet domain feature; Accelerometers; Accuracy; Mathematical model; Muscles; Support vector machines; Wavelet transforms;
机译:基于符号学癫痫发作分类的精神性非癫痫发作的临床事件
机译:心理学非癫痫发作的儿童临床分类
机译:患有心理性非癫痫性癫痫(PNES)的儿童:详细的符号学分析和改进的新分类。
机译:使用加速度信号获得的肌肉变换分类痉挛性心理非癫痫发作
机译:提高MMPI-2-RF区分精神性非癫痫性发作和癫痫性癫痫发作的能力。
机译:心理性非癫痫发作的儿童临床分类
机译:使用小波变换和Hilbert变换的癫痫癫痫发作信号分类