From digital control to digital twins in medicine: A brief review and future perspectives
R Eftimie, A Mavrodin, SPA Bordas - Advances in Applied Mechanics, 2023 - Elsevier
The last few decades have been dominated by the need for digital control of various
processes in biology and medicine. Advances in artificial intelligence (AI) over the last few …
processes in biology and medicine. Advances in artificial intelligence (AI) over the last few …
Mechanics constitutive models for viscoelastic solid materials: Development and a critical review
Mathematical constitutive models are crucially important for the real viscoelastic solid
materials in academic investigation and engineering application. The viscoelastic solid …
materials in academic investigation and engineering application. The viscoelastic solid …
Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model
J Hu, J Min - Cognitive neurodynamics, 2018 - Springer
Driver fatigue is increasingly a contributing factor for traffic accidents, so an effective method
to automatically detect driver fatigue is urgently needed. In this study, in order to catch the …
to automatically detect driver fatigue is urgently needed. In this study, in order to catch the …
Power spectral density and coherence analysis of Alzheimer's EEG
In this paper, we investigate the abnormalities of electroencephalograph (EEG) signals in
the Alzheimer's disease (AD) by analyzing 16-scalp electrodes EEG signals and make a …
the Alzheimer's disease (AD) by analyzing 16-scalp electrodes EEG signals and make a …
Measures of entropy and complexity in altered states of consciousness
DM Mateos, R Guevara Erra, R Wennberg… - Cognitive …, 2018 - Springer
Quantification of complexity in neurophysiological signals has been studied using different
methods, especially those from information or dynamical system theory. These studies have …
methods, especially those from information or dynamical system theory. These studies have …
Aesthetic preference recognition of 3D shapes using EEG
LH Chew, J Teo, J Mountstephens - Cognitive neurodynamics, 2016 - Springer
Recognition and identification of aesthetic preference is indispensable in industrial design.
Humans tend to pursue products with aesthetic values and make buying decisions based on …
Humans tend to pursue products with aesthetic values and make buying decisions based on …
Monitoring the depth of anesthesia using a new adaptive neurofuzzy system
Accurate and noninvasive monitoring of the depth of anesthesia (DoA) is highly desirable.
Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain …
Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain …
An EEG-based machine learning method to screen alcohol use disorder
Screening alcohol use disorder (AUD) patients has been challenging due to the subjectivity
involved in the process. Hence, robust and objective methods are needed to automate the …
involved in the process. Hence, robust and objective methods are needed to automate the …
Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries
Estimating the depth of anaesthesia (DoA) in operations has always been a challenging
issue due to the underlying complexity of the brain mechanisms. Electroencephalogram …
issue due to the underlying complexity of the brain mechanisms. Electroencephalogram …
Inference of brain states under anesthesia with meta learning based deep learning models
Monitoring the depth of unconsciousness during anesthesia is beneficial in both clinical
settings and neuroscience investigations to understand brain mechanisms …
settings and neuroscience investigations to understand brain mechanisms …