A review of critical brain oscillations in depression and the efficacy of transcranial magnetic stimulation treatment

YC Tsai, CT Li, CH Juan - Frontiers in Psychiatry, 2023 - frontiersin.org
Repetitive transcranial magnetic stimulation (rTMS) and intermittent theta burst stimulation
(iTBS) have been proven effective non-invasive treatments for patients with drug-resistant …

Frontoparietal beta amplitude modulation and its interareal cross-frequency coupling in visual working memory

WK Liang, P Tseng, JR Yeh, NE Huang, CH Juan - Neuroscience, 2021 - Elsevier
Visual working memory (VWM) relies on sustained neural activities that code information via
various oscillatory frequencies. Previous studies, however, have emphasized time …

Holo-hilbert square spectral analysis: A new fault diagnosis tool for rotating machinery health management

J Zheng, W Ying, H Pan, K Feng - Mechanical Systems and Signal …, 2023 - Elsevier
Abstract The Holo-Hilbert spectral analysis (HHSA) is an emerging analysis tool for rotating
machinery fault diagnosis. It has an excellent performance in reflecting the cross-scale …

[HTML][HTML] Burst c-VEP based BCI: optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience

KC Castillos, S Ladouce, L Darmet, F Dehais - NeuroImage, 2023 - Elsevier
The utilization of aperiodic flickering visual stimuli under the form of code-modulated Visual
Evoked Potentials (c-VEP) represents a pivotal advancement in the field of reactive Brain …

FB-EEGNet: A fusion neural network across multi-stimulus for SSVEP target detection

H Yao, K Liu, X Deng, X Tang, H Yu - Journal of Neuroscience Methods, 2022 - Elsevier
Background Steady-state visual evoked potential (SSVEP) is a prevalent paradigm of brain-
computer interface (BCI). Recently, deep neural networks (DNNs) have been employed for …

[HTML][HTML] Investigating the effect of Mindfulness-Based Stress Reduction on stress level and brain activity of college students

A An, H Hoang, L Trang, Q Vo, L Tran, T Le, A Le… - IBRO neuroscience …, 2022 - Elsevier
Financial constraints usually hinder students, especially those in low-middle income
countries (LMICs), from seeking mental health interventions. Hence, it is necessary to …

Revealing the dynamic nature of amplitude modulated neural entrainment with Holo-Hilbert spectral analysis

CH Juan, KT Nguyen, WK Liang, AJ Quinn… - Frontiers in …, 2021 - frontiersin.org
Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations
observed in electrophysiological data. Here, we manipulated the temporal dynamics of …

Evaluating the different stages of Parkinson's disease using electroencephalography with Holo-Hilbert spectral analysis

KH Chang, IT French, WK Liang, YS Lo… - Frontiers in aging …, 2022 - frontiersin.org
Electroencephalography (EEG) can reveal the abnormalities of dopaminergic subcortico-
cortical circuits in patients with Parkinson's disease (PD). However, conventional time …

Analysis of amplitude modulation of EEG based on holo-hilbert spectrum analysis during general anesthesia

J Liu, W Zhang, K Dong, Q Wei, G Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: The study aims to investigate the relationship between amplitude modulation
(AM) of EEG and anesthesia depth during general anesthesia. Methods: In this study, Holo …

[PDF][PDF] 基于改进全息希尔伯特谱分析的旋转机械故障诊断方法

郑近德, 应万明, 潘海洋, 童靳于, 刘庆运 - 机械工程学报, 2023 - qikan.cmes.org
时频分析方法能够有效同时提取故障设备振动信号的时间和频率信息, 但在全面反映非线性振动
信号幅值调制与频率调制特征之间的跨尺度耦合关系方面仍存在局限, 且容易受到噪声干扰 …