Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis [0.03%]
干扰素-β和二甲基烟酸对多发性硬化患者脑电图特征非线性动力学特性的影响
Christopher Ivan Hernandez,Natalia Afek,Magda Gawłowska et al.
Christopher Ivan Hernandez et al.
Introduction: Multiple sclerosis (MS) is an intricate neurological condition that affects many individuals worldwide, and there is a considerable amount of research into understanding the pathology and treatment developme...
Effect of natural and synthetic noise data augmentation on physical action classification by brain-computer interface and deep learning [0.03%]
自然和合成噪声数据增强对脑机接口及深度学习物理动作分类的影响
Yuri Gordienko,Nikita Gordienko,Vladyslav Taran et al.
Yuri Gordienko et al.
Analysis of electroencephalography (EEG) signals gathered by brain-computer interface (BCI) recently demonstrated that deep neural networks (DNNs) can be effectively used for investigation of time sequences for physical actions (PA) classif...
An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities [0.03%]
结合深度神经网络解码人类行为语义的框架研究
Yuanyuan Zhang,Manli Tian,Baolin Liu
Yuanyuan Zhang
Introduction: Recently, numerous studies have focused on the semantic decoding of perceived images based on functional magnetic resonance imaging (fMRI) activities. However, it remains unclear whether it is possible to es...
Contrastive self-supervised learning for neurodegenerative disorder classification [0.03%]
对比自我监督学习在神经退行性疾病分类中的应用
Vadym Gryshchuk,Devesh Singh,Stefan Teipel et al.
Vadym Gryshchuk et al.
Introduction: Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans. Supervised machi...
Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning [0.03%]
基于多维步态参数的机器学习中风关联定量评估方法
Cheng Wang,Zhou Long,Xiang-Dong Wang et al.
Cheng Wang et al.
Objective: NIHSS for stroke is widely used in clinical, but it is complex and subjective. The purpose of the study is to present a quantitative evaluation method of stroke association based on multi-dimensional gait param...
The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network [0.03%]
利用功率-功率跨频段耦合分析和深度学习网络对失神发作进行分类
A V Medvedev,B Lehmann
A V Medvedev
High frequency oscillations are important novel biomarkers of epileptic tissue. The interaction of oscillations across different time scales is revealed as cross-frequency coupling (CFC) representing a high-order structure in the functional...
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation [0.03%]
通过机器学习，分子对接和动力学模拟识别出针对痴呆症中FUS蛋白的天然抑制剂
Darwin Li
Darwin Li
Dementia, a complex and debilitating spectrum of neurodegenerative diseases, presents a profound challenge in the quest for effective treatments. The FUS protein is well at the center of this problem, as it is frequently dysregulated in the...
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM [0.03%]
基于小波变换和自编码器的半监督心音异常检测方法研究
Peipei Zeng,Shuimiao Kang,Fan Fan et al.
Peipei Zeng et al.
Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect heart murmurs when the heart is structurall...
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence [0.03%]
编辑部：非侵入性生理信号和人工智能的最新应用
Irma N Angulo,Eduardo Iáñez,Andres Ubeda
Irma N Angulo
Christophe Magnani,Lee E Moore
Christophe Magnani
This article develops a fundamental insight into the behavior of neuronal membranes, focusing on their responses to stimuli measured with power spectra in the frequency domain. It explores the use of linear and nonlinear (quadratic sinusoid...