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4篇 您的检索式：作者名="Suparerk"

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		题名	作者	年代	出处	被引量
	1	The effects of transcranial direct current stimulation in patients with neuropathic pain from spinal cord injury显示文摘	Niran Ngernyam Mark P. Jensen Preeda Arayawichanon Narong Auvichayapat Somsak Tiamkao Suparerk Janjarasjitt Wiyada Punjaruk Anuwat Amatachaya Benchaporn Aree-uea Paradee Auvichayapat	2014	Clinical Neurophysiology2014，，：	1
	2	Classification of the Epileptic EEGs Using theWavelet-Based Scale Variance Feature显示文摘	Suparerk J	2010	INTERNATIONALJOURNAL OF APPLIED BIOMEDICAL ENGINEERING2010，3，1：	1
	3	Efficacy of Acupuncture versus Combined Oral Contraceptive Pill in Treatment of Moderate-to-Severe Dysmenorrhea: A Randomized Controlled Trial显示文摘	Intira Sriprasert Suparerk Suerungruang Porntip Athilarp	2015	Evidence-Based Complementary and Alternative Medicine2015，4，：	1
	4	Examination of the wavelet-based approach for measuring self-similarity of epileptic electroencephalogram data显示文摘Self-similarity or scale-invariance is a fascinating characteristic found in various signals including electroencephalogram(EEG) signals. A common measure used for characterizing self-similarity or scale-invariance is the spectral exponent. In this study, a computational method for estimating the spectral exponent based on wavelet transform was examined. A series of Daubechies wavelet bases with various numbers of vanishing moments were applied to analyze the self-similar characteristics of intracranial EEG data corresponding to different pathological states of the brain, i.e., ictal and interictal states, in patients with epilepsy. The computational results show that the spectral exponents of intracranial EEG signals obtained during epileptic seizure activity tend to be higher than those obtained during non-seizure periods. This suggests that the intracranial EEG signals obtained during epileptic seizure activity tend to be more self-similar than those obtained during non-seizure periods. The computational results obtained using the wavelet-based approach were validated by comparison with results obtained using the power spectrum method.	Suparerk JANJARASJITT	2014	Journal of Zhejiang University-Science C(Computers and Electronics)2014，15，12：	0

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