Results 31 to 40 of about 4,653 (151)

Nonlinear analysis of the electroencephalogram in depth of anesthesia

Revista Facultad de Ingeniería Universidad de Antioquia, 2015
Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique.
Oscar Leonardo Mosquera-Dusan, Daniel Alfonso Botero-Rosas, Mauricio Cagy, Ruben Dario Henao-Idarraga   +3 more
doaj   +1 more source

Hilbert–Huang Transform Analysis of Quasiperiodic Oscillations in MAXI J1820+070

The Astrophysical Journal, 2023
We present a time-frequency analysis, based on the Hilbert–Huang transform, of the evolution of the low-frequency quasiperiodic oscillations observed in the black hole X-ray binary MAXI J1820+070.
Wei Yu, Qing-Cui Bu, Zi-Xu Yang, He-Xin Liu, Liang Zhang, Yue Huang, Deng-Ke Zhou, Jin-Lu Qu, Shuang-Nan Zhang, Shu Zhang, Li-Ming Song, Shu-Mei Jia, Xiang Ma, Lian Tao, Ming-Yu Ge, Qing-Zhong Liu, Jing-Zhi Yan   +16 more
doaj   +1 more source

Pulse Signal Analysis Method Based on Improved HHT [PDF]

Jisuanji gongcheng, 2019
The traditional Hilbert-Huang Transform(HHT) has low accuracy in Empirical Mode Decomposition(EMD) when processing pulse signals,and there are mode mixing problems.In response to this problem,this paper proposes an improved HHT method.Combined with Time ...
KUANG Xue, LI Zhi, WANG Yongjun, ZHANG Shaorong
doaj   +1 more source

Milling gate vibrations analysis via Hilbert-Huang transform

ITM Web of Conferences, 2017
The study aimed at identification of the milling gate modal parameters: natural frequencies and mode shapes, in order to establish the working range free from resonant areas.
Litak Grzegorz, Iwaniec Marek, Iwaniec Joanna   +2 more
doaj   +1 more source

Quantitative Identification of Pulse-Like Ground Motions Based on Hilbert–Huang Transform

Shock and Vibration, 2021
Aiming to address the problem of pulse-like ground motions being difficult to identify, this paper refines the Baker’s wavelet-based pulse-like ground motions identification method, followed by a new pulse-like ground motion identification method based ...
Zhen Liu
doaj   +1 more source

Characterization of non-linear bearings using the Hilbert–Huang transform

Advances in Mechanical Engineering, 2015
Changes in the performance of bearings can significantly vary the distribution of internal forces and moments in a structure as a result of environmental or operational loads.
Arturo González, Hussein Aied
doaj   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters

Energy Science &Engineering, EarlyView.
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu, Sheng Biao Wang, Da Jiang Wen, Chong‐Yu Song, Kang Zhou   +4 more
wiley   +1 more source

Fourier, Wavelet, and Hilbert-Huang Transforms for Studying Electrical Users in the Time and Frequency Domain

Energies, 2017
The analysis of electrical signals is a pressing requirement for the optimal design of power distribution. In this context, this paper illustrates how to use a variety of numerical tools, such as the Fourier, wavelet, and Hilbert-Huang transforms, to ...
Vito Puliafito, Silvano Vergura, Mario Carpentieri   +2 more
doaj   +1 more source