Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
A review on machine learning for EEG signal processing in bioengineering
MP Hosseini, A Hosseini, K Ahi - IEEE reviews in biomedical …, 2020 - ieeexplore.ieee.org
Electroencephalography (EEG) has been a staple method for identifying certain health
conditions in patients since its discovery. Due to the many different types of classifiers …
conditions in patients since its discovery. Due to the many different types of classifiers …
A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal
M Savadkoohi, T Oladunni, L Thompson - Biocybernetics and Biomedical …, 2020 - Elsevier
This study investigates the properties of the brain electrical activity from different recording
regions and physiological states for seizure detection. Neurophysiologists will find the work …
regions and physiological states for seizure detection. Neurophysiologists will find the work …
Bearing remaining useful life prediction under starved lubricating condition using time domain acoustic emission signal processing
M Motahari-Nezhad, SM Jafari - Expert Systems with Applications, 2021 - Elsevier
In this paper, the estimation of the remaining useful life (RUL) of angular contact ball bearing
using time-domain signal processing method is discussed. An experimental setup based on …
using time-domain signal processing method is discussed. An experimental setup based on …
Music mood and human emotion recognition based on physiological signals: a systematic review
Scientists and researchers have tried to establish a bond between the emotions conveyed
and the subsequent mood perceived in a person. Emotions play a major role in terms of our …
and the subsequent mood perceived in a person. Emotions play a major role in terms of our …
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Epilepsy is a chronic neurological disorder with a comparatively high prevalence rate. It is a
condition characterized by repeated and unprovoked seizures. Seizures are managed with …
condition characterized by repeated and unprovoked seizures. Seizures are managed with …
Recent approaches on classification and feature extraction of EEG signal: A review
Objective: Electroencephalography (EEG) has an influential role in neuroscience and
commercial applications. Most of the tools available for EEG signal analysis use machine …
commercial applications. Most of the tools available for EEG signal analysis use machine …
Deep learning classification of neuro-emotional phase domain complexity levels induced by affective video film clips
S Aydın - IEEE Journal of Biomedical and Health Informatics, 2019 - ieeexplore.ieee.org
In the present article, a novel emotional complexity marker is proposed for classification of
discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) …
discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) …
A physiological signal-based method for early mental-stress detection
The early detection of mental stress is critical for efficient clinical treatment. Compared with
traditional approaches, the automatic methods presented in literature have shown …
traditional approaches, the automatic methods presented in literature have shown …
Identification of lower-limb motor tasks via brain–computer interfaces: a topical overview
Recent engineering and neuroscience applications have led to the development of brain–
computer interface (BCI) systems that improve the quality of life of people with motor …
computer interface (BCI) systems that improve the quality of life of people with motor …