[HTML][HTML] Analysis of electrocorticogram in epilepsy patients in terms of criticality
Self-organized criticality is being considered as a potential organization of the brain. In this
study, major features of critical systems were applied to investigate the power-law …
study, major features of critical systems were applied to investigate the power-law …
Spectral exponent characteristics of intracranial EEGs for epileptic seizure classification
S Janjarasjitt - IRBM, 2015 - Elsevier
Currently, computational tools and analyses play an essential role in medical diagnosis
including epilepsy. One of the most important applications in epilepsy is epileptic seizure …
including epilepsy. One of the most important applications in epilepsy is epileptic seizure …
[HTML][HTML] 加权多重多尺度熵及其在孤独症儿童脑电信号分析中的应用
昕李， 占周安， 秋月李， 春燕史， 洁张… - Sheng Wu Yi Xue Gong …, 2019 - ncbi.nlm.nih.gov
本文针对传统多尺度熵在多尺度化过程中信息丢失问题， 提出一种加权多重多尺度熵特征提取
算法。 该算法在各尺度上构建了从大到小的多重数据序列， 考虑多重数据序列对该尺度样本熵 …
算法。 该算法在各尺度上构建了从大到小的多重数据序列， 考虑多重数据序列对该尺度样本熵 …
Weighted multiple multiscale entropy and its application in electroencephalography analysis of autism assessment
X Li, Z An, Q Li, C Shi, J Zhang… - … wu yi xue Gong Cheng xue …, 2019 - europepmc.org
本文针对传统多尺度熵在多尺度化过程中信息丢失问题, 提出一种加权多重多尺度熵特征提取
算法. 该算法在各尺度上构建了从大到小的多重数据序列, 考虑多重数据序列对该尺度样本熵的 …
算法. 该算法在各尺度上构建了从大到小的多重数据序列, 考虑多重数据序列对该尺度样本熵的 …
Examination of the wavelet-based approach for measuring self-similarity of epileptic electroencephalogram data
S Janjarasjitt - Journal of Zhejiang University SCIENCE C, 2014 - Springer
Self-similarity or scale-invariance is a fascinating characteristic found in various signals
including electroencephalogram (EEG) signals. A common measure used for characterizing …
including electroencephalogram (EEG) signals. A common measure used for characterizing …
[HTML][HTML] Examination of scale-invariant characteristics of multi-channel ECoG data for epileptic seizure localization
S Janjarasjitt, KA Loparo - Journal of Medical and Biological Engineering, 2015 - Springer
One of the most important tasks for epilepsy surgery is to localize a region of the brain
involved with the development of epileptic seizure. This study investigates the scale …
involved with the development of epileptic seizure. This study investigates the scale …
基于小波分析的癫痫脑电图自相似性测量
S Janjarasjitt, AS Janjarasjitt - Journal of Zhejiang University …, 2014 - jzus.zju.edu.cn
自相似性或尺度不变性是信号(包括脑电图信号) 中的一个重要特征. 本文基于小波变换介绍一种
估计谱指数的计算方法. 提出1/过程基于小波分析的表征, 验证其能有效估计用于表征自相似性 …
估计谱指数的计算方法. 提出1/过程基于小波分析的表征, 验证其能有效估计用于表征自相似性 …
[PDF][PDF] Characteristic of spectral exponent of epileptic ECoG data corresponding to levels in wavelet-based fractal analysis
S Janjarasjitt, KA Loparo - Proceedings of the International …, 2014 - iaeng.org
In this study, the wavelet-based fractal analysis is applied to analyze epileptic ECoG data
obtained during nonseizure period and epileptic seizure events. The spectral exponents of …
obtained during nonseizure period and epileptic seizure events. The spectral exponents of …
Noises: a Nuisance and a Resource. Development of New Decomposition Methods of Noisy Data
J Fadanni - 2022 - amsdottorato.unibo.it
Noise is constant presence in measurements. Its origin is related to the microscopic
properties of matter. Since the seminal work of Brown in 1828, the study of stochastic …
properties of matter. Since the seminal work of Brown in 1828, the study of stochastic …
[PDF][PDF] Examination of Multiple Spectral Exponents of Epileptic ECoG Signal
S Janjarasjitt, KA Loparo - IAENG International Journal of Computer …, 2014 - iaeng.org
In this paper, the wavelet-based fractal analysis is applied to analyze an electrocorticogram
(ECoG) signal recorded from an epilepsy patient. A spectral exponent γ yielded from the …
(ECoG) signal recorded from an epilepsy patient. A spectral exponent γ yielded from the …