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Human Brain Mapping, Volume 43, Issue 8, Page 2460-2477, June 1, 2022., 2022 Epileptic seizures change over time and have been shown to be modulated on circadian or longer timescales. It is an open question whether these changes can be explained by intrinsic fluctuations of each individual patient's physiology. We hypothesize that signal features derived from the continuous iEEG can serve as biomarkers of such intrinsic ...
Mariella Panagiotopoulou +5 more
wiley +1 more source
Multiscale depth of anaesthesia prediction for surgery using frontal cortex electroencephalography
Healthcare Technology Letters, Volume 9, Issue 3, Page 43-53, June 2022., 2022 Abstract Hypnotic and sedative anaesthetic agents are employed during multiple medical interventions to prevent patient awareness. Careful titration of agent dosing is required to avoid negative side effects; the accuracy thereof may be improved by Depth of Anaesthesia Monitoring.
Ejay Nsugbe, Stephanie Connelly
wiley +1 more source
Search for information-bearing components in neural data. [PDF]
PLoS ONE, 2014 Multivariate empirical mode decomposition (MEMD) is an important extension of EMD, suitable for processing multichannel data. It can adaptively decompose multivariate data into a set of intrinsic mode functions (IMFs) that are matched both in number and ...
Meng Hu, Hualou Liang
doaj +1 more source
Analyse des modes empiriques : une approche EDP [PDF]
, 2010 The empirical mode decomposition is a powerful tool for signal processing. Because of its original algorithmic, recent works have contributed to its theoretical framework.
DIOP, El Hadji +2 more
core +1 more source
, 2020 Flood causes massive damages to infrastructure, agriculture, livelihood and leads to loss of life. This chapter designs M5 tree-based machine learning model integrated with advanced multivariate empirical mode decomposition (i.e., MEMD-M5 Tree) for daily
Deo, Ravinesh C. +11 more
core +1 more source
Correction of blink artifacts using independent component analysis and empirical mode decomposition. [PDF]
Blink-related ocular activity is a major source of artifacts in electroencephalogram (EEG) data. Independent component analysis (ICA) is a well-known technique for the correction of such ocular artifacts, but one of the limitations of ICA is that the ICs
Bhattacharya, Joydeep, Lindsen, Job P.
core +8 more sources
Gear Fault Diagnosis Based on APIT-SA-MEMD and FLLE
Jixie chuandong, 2022 Gears are often in a harsh working environment, and their vibration signals have the characteristics of non-linearity and non-stationarity. Therefore, it is of great significance to develop a fault diagnosis method suitable for gears.
Ji Haofei, Liu Huiling, Dong Jiaqiang
doaj
, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
core +1 more source
IEEE Access, 2019 Olfactory dysfunction is related to several clinical neurodegenerative diseases, such as Alzheimer's disease, multiple sclerosis, degenerative ataxias, Parkinson's disease, and so on.
Kuo-Wei Wang +8 more
doaj +1 more source
IEEE Access, 2020 This paper describes a novel multichannel signal denoising approach based on multivariate variational mode decomposition (MVMD). MVMD is the extended version of the variational mode decomposition (VMD) algorithm for multichannel data sets.
Peipei Cao, Huali Wang, Kaijie Zhou
doaj +1 more source