Results 151 to 160 of about 5,816 (193)

<i>Ab initio</i> quantum transport investigation of Sub-3 nm β-InSe transistors for future high-performance nanoelectronics. [PDF]

RSC Adv
Ghafoor M, Khan R, Din SU, Safeen A, Li Q, Yang X, Yang Z, Lu J.   +7 more
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Optimizing feature subset for schizophrenia detection using multichannel EEG signals and rough set theory. [PDF]

Cogn Neurodyn
Srinivasan S, Johnson SD.
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Schizophrenia detection via lobe-wise and overall EEG features using VMD and bayesian-optimized machine learning models. [PDF]

Front Neurosci
Sravanthi GS, Sharma LD.
europepmc   +1 more source

Role of EMP2 and Del-1 in Tamoxifen-resistant Breast Cancer Cells. [PDF]

In Vivo
Lee IH, Kang J, Lee J, Kang B, Moon JS, Park HY, Kim EA, Jeong SH, Chae YS, Lee SJ.   +9 more
europepmc   +1 more source

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Dynamic MEMD Associated with Approximate Entropy in Patients’ Consciousness Evaluation

Lecture Notes in Computer Science, 2016
Electroencephalography (EEG) based preliminary examination has been widely used in diagnosis of brain diseases. Based on previous studies, clinical brain death determination also can be actualized by analyzing EEG signal of patients. Dynamic Multivariate empirical mode decomposition (D-MEMD) and approximate entropy (ApEn) are two kinds of methods to ...
Toshihisa Tanaka, Andrzej Cichocki, Jianting Cao   +2 more
exaly   +3 more sources

Selection Method of IMFs Based on Noise-Assisted MEMD and Relevant Information

2021 International Conference on Electronic Information Engineering and Computer Science (EIECS), 2021
Brain-computer interface (BCI) is a technology to control external equipment through electroencephalogram (EEG), but also EEG is often detected along with noise. The filtered noise is very important for the application of brain-computer interface.
Tong Liu, Yifeng Zhu, Lequan Wang, Chenglong Wang   +3 more
exaly   +2 more sources

Patients' consciousness analysis using dynamic approximate entropy and MEMD method

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
Electroencephalography (EEG) based preliminary examination has been proposed in the clinical brain death determination. Multivariate empirical mode decomposition(MEMD) and approximate entropy(ApEn) are often used in the EEG signal analysis process. MEMD is an extended approach of empirical mode decomposition(EMD), in which it overcomes the problem of ...
Andrzej Cichocki, Jianting Cao, Gaochao Cui   +2 more
exaly   +2 more sources

Technology of communication interference suppression in PD radars based on MEMD

2016 IEEE 13th International Conference on Signal Processing (ICSP), 2016
In this paper, an interference suppression scheme for pulse Doppler (PD) radars with the presence of communication interference is presented based on the multivariate empirical mode decomposition (MEMD) method. Pulses with the different spectrum characteristics are firstly permuted to compose a multivariate signal, and then a modified MEMD method is ...
Xuchu Dai
exaly   +2 more sources

Fault Diagnosis Feature Extraction of Marine Rolling Bearing Based on MEMD and Pe

Journal of Coastal Research, 2019
Cui, J.-C. and Ma, L.-J., 2019. Fault diagnosis feature extraction of marine rolling bearing based on MEMD and pe. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 342–346. Coconut Creek (Florida), ISSN 0749-
Lijie Ma
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