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https://www.readbyqxmd.com/read/28227551/detecting-slow-eye-movement-for-recognizing-driver-s-sleep-onset-period-with-eeg-features
#1
Yingying Jiao, Bao-Liang Lu, Yingying Jiao, Bao-Liang Lu, Baa-Liang Lu, Yingying Jiao
Slow eye movement (SEM) is reported as a reliable indicator of sleep onset period (SOP) in sleep researches, but its characteristics and functions for detecting driving fatigue have not been fully studied. Through visual observations on ten subjects' experimental data, we found that SEMs tend to occur during eye closure events (ECEs). SEMs accompanied with alpha wave's attenuation during simulated driving was observed in our study. We used box plots to analyze the distribution of durations of different ECEs to measure sleepiness level...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227536/a-pilot-study-on-the-neurometric-evaluation-of-effective-and-ineffective-antismoking-public-service-announcements
#2
Giulia Cartocci, Enrica Modica, Dario Rossi, Anton Giulio Maglione, Isotta Venuti, Giulia Rossi, Elena Corsi, Fabio Babiloni, Giulia Cartocci, Enrica Modica, Dario Rossi, Anton Giulio Maglione, Isotta Venuti, Giulia Rossi, Elena Corsi, Fabio Babiloni, Enrica Modica, Isotta Venuti, Giulia Rossi, Fabio Babiloni, Anton Giulio Maglione, Dario Rossi, Elena Corsi, Giulia Cartocci
Tobacco use is the leading cause of preventable death and smoking-related illness worldwide. Research has shown that antismoking advertising may help reduce this habit. Nowadays, public service announcements (PSAs) are considered "Effective" or "Ineffective" on the base of official reports concerning behavioral/attitudinal changes toward healthier patterns and health-related savings following the exposure to the PSA. In this pilot study, we described the results of the use of three neurometric indexes for the evaluation of the efficacy of a couple of antismoking PSAs in a reduced sample of voluntary participants...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227526/valence-dependent-changes-in-visual-arousing-elicitation-an-exploratory-study-in-eeg-gamma-oscillations
#3
Alberto Greco, Gaetano Valenza, Enzo Pasquale Scilingo, Alberto Greco, Gaetano Valenza, Enzo Pasquale Scilingo, Gaetano Valenza, Enzo Pasquale Scilingo, Alberto Greco
Emotion regulation involves several brain areas such as prefrontal cortex, amygdala, and insular cortex. However, considering different levels of arousing elicitations, how such a brain dynamics is affected by emotional pleasant/unpleasant (valence) elicitation is not fully understood. To this aim, we propose an Electroencephalographic (EEG)-based preliminary study in which 22 healthy subjects were elicited through affective pictures gathered from the International Affective Picture System. Considering 4 arousing levels, each of which including two valence levels (pleasant and unpleasant), we investigated EEG power spectra and functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227518/electroencephalography-in-ellipsoidal-geometry-with-fourth-order-harmonics
#4
M Alcocer-Sosa, D Gutierrez, M Alcocer-Sosa, D Gutierrez, M Alcocer-Sosa, D Gutierrez
We present a solution to the electroencephalographs (EEG) forward problem of computing the scalp electric potentials for the case when the head's geometry is modeled using a four-shell ellipsoidal geometry and the brain sources with an equivalent current dipole (ECD). The proposed solution includes terms up to the fourth-order ellipsoidal harmonics and we compare this new approximation against those that only considered up to second- and third-order harmonics. Our comparisons use as reference a solution in which a tessellated volume approximates the head and the forward problem is solved through the boundary element method (BEM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227517/automatic-recognition-of-pleasant-content-of-odours-through-electroencephalographic-activity-analysis
#5
Antonio Lanata, Andrea Guidi, Alberto Greco, Gaetano Valenza, Fabio Di Francesco, Enzo Pasquale Scilingo, Antonio Lanata, Andrea Guidi, Alberto Greco, Gaetano Valenza, Fabio Di Francesco, Enzo Pasquale Scilingo, Antonio Lanata, Fabio Di Francesco, Enzo Pasquale Scilingo, Alberto Greco, Gaetano Valenza, Andrea Guidi
This study presents a machine learning approach applied to ElectroEnchephaloGraphic (EEG) response in a group of subjects when exposed to a controlled olfactory stimulation experiment. In the literature, in fact, there are controversial results on EEG response to odorants. This study proposes a robust leave-one-subject-out classification method to recognize features extracted from EEG signals belonging to pleasant or unpleasant olfactory stimulation classes. An accuracy of 75% has been achieved in a group of 32 subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227327/sleep-spindle-identification-on-eeg-signals-from-polysomnographie-recordings-using-correntropy
#6
Sebastian Ulloa, Pablo A Estevez, Pablo Huijse, Claudio M Held, Claudio A Perez, Rodrigo Chamorro, Marcelo Garrido, Cecilia Algarin, Patricio Peirano, Sebastian Ulloa, Pablo A Estevez, Pablo Huijse, Claudio M Held, Claudio A Perez, Rodrigo Chamorro, Marcelo Garrido, Cecilia Algarin, Patricio Peirano, Pablo A Estevez, Marcelo Garrido, Sebastian Ulloa, Claudio A Perez, Pablo Huijse, Rodrigo Chamorro, Cecilia Algarin, Patricio Peirano, Claudio M Held
Sleep spindles (SSs) are characteristic electroencephalographic (EEG) waveforms of sleep stages N2 and N3. One of the main problems associated with SS detection is the high number of false positives. In this paper we propose a new periodogram based on correntropy to detect SSs and enhance their characterization. Correntropy is a generalized correlation, under the information theoretic learning framework. A non-negative matrix factorization decomposition of correntropy allows us to obtain a new periodogram, which shows an improved resolution capability compared to the conventional power spectrum density...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227324/analysis-of-the-non-stationarity-of-neural-activity-during-an-auditory-oddball-task-in-schizophrenia
#7
P Nunez, J Poza, J Gomez-Pilar, A Bachiller, C Gomez, A Lubeiro, V Molina, R Hornero, P Nunez, J Poza, J Gomez-Pilar, A Bachiller, C Gomez, A Lubeiro, V Molina, R Hornero, J Gomez-Pilar, A Bachiller, C Gomez, J Poza, P Nunez, A Lubeiro, V Molina, R Hornero
The aim of this study was to characterize brain dynamics during an auditory oddball task. For this purpose, a measure of the non-stationarity of a given time-frequency representation (TFR) was applied to electroencephalographic (EEG) signals. EEG activity was acquired from 20 schizophrenic (SCH) patients and 20 healthy controls while they underwent a three-stimulus auditory oddball task. The Degree of Stationarity (DS), a measure of the non-stationarity of the TFR, was computed using the continuous wavelet transform...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227275/an-algorithm-for-automatic-detection-of-drowsiness-for-use-in-wearable-eeg-systems
#8
Kwai C A Patrick, Syed Anas Imtiaz, Stuart Bowyer, Esther Rodriguez-Villegas, Kwai C A Patrick, Syed Anas Imtiaz, Stuart Bowyer, Esther Rodriguez-Villegas, Kwai C A Patrick, Esther Rodriguez-Villegas, Stuart Bowyer
Lack of proper restorative sleep can induce sleepiness at odd hours making a person drowsy. This onset of drowsiness can be detrimental for the individual in a number of ways if it happens at an unwanted time. For example, drowsiness while driving a vehicle or operating heavy machinery poses a threat to the safety and wellbeing of individuals as well as those around them. Timely detection of drowsiness can prevent the occurrence of unfortunate accidents thereby improving road and work environment safety. In this paper, by analyzing the electroencephalographic (EEG) signals of human subjects in the frequency domain, several features across different EEG channels are explored...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227251/robust-extraction-of-the-n1-effect-in-dichotic-listening-using-hardy-space-mappings-of-auditory-late-single-trials
#9
Farah I Corona-Strauss, Daniel J Strauss, Farah I Corona-Strauss, Daniel J Strauss, Farah I Corona-Strauss, Daniel J Strauss
It is known that signs of (early) auditory selective attention are reflected in the N1-wave of auditory late potentials. In recent years, we have analyzed this N1-effect using multiscale neurofunctional modeling and (instantaneous) phase synchronization measures of Hardy space mapped data. To acquire the electroencephalographic data in dichotic listening, we repeated the seminal experiment of Hillyard et al. which first described the N1-effect. Here we apply for the first time phase synchronization measures to these dichotic data and compare the results to the conventional time-domain analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227106/epileptic-seizure-onset-correlates-with-long-term-eeg-functional-brain-network-properties
#10
Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis, Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis, Maria Anastasiadou, Avgis Hadjipapas, Manolis Christodoulakis, Savvas S Papacostas, Eleftherios S Papathanasiou, Georgios D Mitsis
We investigated the correlation of epileptic seizure onset times with long term EEG functional brain network properties. To do so, we constructed binary functional brain networks from long-term, multichannel electroencephalographic data recorded from nine patients with epilepsy. The corresponding network properties were quantified using the average network degree. It was found that the network degree (as well as other network properties such as the network efficiency and clustering coefficient) exhibited large fluctuations over time; however, it also exhibited specific periodic temporal structure over different time scales (1...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227105/quantifying-connectivity-in-a-physiology-based-model-using-adaptive-dynamic-causal-modelling
#11
W Xiang, C Yang, A Karfoul, R Le Bouquin Jeannes, W Xiang, C Yang, A Karfoul, R Le Bouquin Jeannes, A Karfoul, W Xiang, C Yang
This paper proposes an Adaptive Dynamic Causal Modelling based approach to detect and quantify effective connectivity in human brain structures injured by epileptic activities. The identification of the parameters in the physiology based model subtended the Electroencephalographic observations is performed by improving the optimization step in the Expectation Maximization algorithm. Considering unidirectional flow propagation, we show the efficiency of our proposed approach compared to the conventional technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227095/a-small-portable-battery-powered-brain-computer-interface-system-for-motor-rehabilitation
#12
Colin M McCrimmon, Ming Wang, Lucas Silva Lopes, Po T Wang, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, Colin M McCrimmon, Ming Wang, Lucas Silva Lopes, Po T Wang, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, Ming Wang, An H Do, Zoran Nenadic, Colin M McCrimmon, Alireza Karimi-Bidhendi, Lucas Silva Lopes, Po T Wang, Charles Y Liu, Payam Heydari
Motor rehabilitation using brain-computer interface (BCI) systems may facilitate functional recovery in individuals after stroke or spinal cord injury. Nevertheless, these systems are typically ill-suited for widespread adoption due to their size, cost, and complexity. In this paper, a small, portable, and extremely cost-efficient (<;$200) BCI system has been developed using a custom electroencephalographic (EEG) amplifier array, and a commercial microcontroller and touchscreen. The system's performance was tested using a movement-related BCI task in 3 able-bodied subjects with minimal previous BCI experience...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227091/hybrid-bci-approach-to-control-an-artificial-tibio-femoral-joint
#13
Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz
Brain-Computer Interfaces (BCIs) for disabled people should allow them to use their remaining functionalities as control possibilities. BCIs connect the brain with external devices to perform the volition or intent of movement, regardless if that individual is unable to perform the task due to body impairments. In this work we fuse electromyographic (EMG) with electroencephalographic (EEG) activity in a framework called "Hybrid-BCI" (hBCI) approach to control the movement of a simulated tibio-femoral joint...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227011/how-many-sleep-stages-do-we-need-for-an-efficient-automatic-insomnia-diagnosis
#14
Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed
Tools used by clinicians to diagnose and treat insomnia typically include sleep diaries and questionnaires. Overnight polysomnography (PSG) recordings are used when the initial diagnosis is uncertain due to the presence of other sleep disorders or when the treatment, either behavioral or pharmacologic, is unsuccessful. However, the analysis and the scoring of PSG data are time-consuming. To simplify the diagnosis process, in this paper we have proposed an efficient insomnia detection algorithm based on a central single electroencephalographic (EEG) channel (C3) using only deep sleep...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226632/an-eeg-blind-source-separation-algorithm-based-on-a-weak-exclusion-principle
#15
Lan Ma, Thierry Blu, William S-Y Wang, Lan Ma, Thierry Blu, William S-Y Wang, Lan Ma, William S-Y Wang, Thierry Blu
The question of how to separate individual brain and non-brain signals, mixed by volume conduction in electroencephalographic (EEG) and other electrophysiological recordings, is a significant problem in contemporary neuroscience. This study proposes and evaluates a novel EEG Blind Source Separation (BSS) algorithm based on a weak exclusion principle (WEP). The chief point in which it differs from most previous EEG BSS algorithms is that the proposed algorithm is not based upon the hypothesis that the sources are statistically independent...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226629/emotion-classification-using-single-channel-scalp-eeg-recording
#16
Amir Jalilifard, Ednaldo Brigante Pizzolato, Md Kafiul Islam, Amir Jalilifard, Ednaldo Brigante Pizzolato, Md Kafiul Islam, Ednaldo Brigante Pizzolato, Amir Jalilifard, Md Kafiul Islam
Several studies have found evidence for corticolimbic Theta electroencephalographic (EEG) oscillation in the neural processing of visual stimuli perceived as fear or threatening scene. Recent studies showed that neural oscillations' patterns in Theta, Alpha, Beta and Gamma sub-bands play a main role in brain's emotional processing. The main goal of this study is to classify two different emotional states by means of EEG data recorded through a single-electrode EEG headset. Nineteen young subjects participated in an EEG experiment while watching a video clip that evoked three emotional states: neutral, relaxation and scary...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226628/improve-the-generalization-of-emotional-classifiers-across-time-by-using-training-samples-from-different-days
#17
Shuang Liu, Jingjing Tong, Minpeng Xu, Jiajia Yang, Hongzhi Qi, Dong Ming, Shuang Liu, Jingjing Tong, Minpeng Xu, Jiajia Yang, Hongzhi Qi, Dong Ming, Shuang Liu, Minpeng Xu, Dong Ming, Hongzhi Qi, Jiajia Yang, Jingjing Tong
Electroencephalographic (EEG)-based emotion recognition has attracted increasing attention from the field of human-computer interaction (HCI). However, there are a number of challenges for machines to correctly recognize human emotional states. One problem is how to generalize the emotion model across time, since the brain may show different patterns of EEG for the same emotion experience at different time. This study investigated the feasibility of adding samples from different days to the training set to improve the generalization of the emotion classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226601/exploratory-analysis-of-nonlinear-coupling-between-eeg-global-field-power-and-end-tidal-carbon-dioxide-in-free-breathing-and-breath-hold-tasks
#18
Maria Sole Morelli, Gaetano Valenza, Alberto Greco, Alberto Giannoni, Claudio Passino, Michele Emdin, Enzo Pasquale Scilingo, Nicola Vanello, Maria Sole Morelli, Gaetano Valenza, Alberto Greco, Alberto Giannoni, Claudio Passino, Michele Emdin, Enzo Pasquale Scilingo, Nicola Vanello, Maria Sole Morelli, Claudio Passino, Alberto Greco, Nicola Vanello, Gaetano Valenza, Alberto Giannoni, Michele Emdin, Enzo Pasquale Scilingo
Brain activations underlying control of breathing are not completely known. Furthermore, the coupling between neural and respiratory dynamics is usually estimated through linear correlation measures, thus totally disregarding possible underlying nonlinear interactions. To overcome these limitations, in this preliminary study we propose a nonlinear coupling analysis of simultaneous recordings of electroencephalographic (EEG) and respiratory signals at rest and after variation of carbon dioxide (CO2) level. Specifically, a CO2 increase was induced by a voluntary breath hold task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226594/novel-measure-of-the-weigh-distribution-balance-on-the-brain-network-graph-complexity-applied-to-schizophrenia
#19
J Gomez-Pilar, J Poza, A Bachiller, P Nunez, C Gomez, A Lubeiro, V Molina, R Hornero, J Gomez-Pilar, J Poza, A Bachiller, P Nunez, C Gomez, A Lubeiro, V Molina, R Hornero, J Gomez-Pilar, A Bachiller, C Gomez, J Poza, P Nunez, A Lubeiro, V Molina, R Hornero
The aim of this study was to assess brain complexity dynamics in schizophrenia (SCH) patients during an auditory oddball task. For this task, we applied a novel graph measure based on the balance of the node weights distribution. Previous studies applied complexity parameters that were strongly dependent on network topology. This could bias the results, as well as making correction techniques, such as surrogating process, necessary. In the present study, we applied a novel graph complexity measure derived from the information theory: Shannon Graph Complexity (SGC)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225010/beta-phase-synchronization-in-the-frontal-temporal-cerebellar-network-during-auditory-to-motor-rhythm-learning
#20
Kouki Edagawa, Masahiro Kawasaki
Rhythm is an essential element of dancing and music. To investigate the neural mechanisms underlying how rhythm is learned, we recorded electroencephalographic (EEG) data during a rhythm-reproducing task that asked participants to memorize an auditory stimulus and reproduce it via tapping. Based on the behavioral results, we divided the participants into Learning and No-learning groups. EEG analysis showed that error-related negativity (ERN) in the Learning group was larger than in the No-learning group. Time-frequency analysis of the EEG data showed that the beta power in right and left temporal area at the late learning stage was smaller than at the early learning stage in the Learning group...
February 22, 2017: Scientific Reports
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