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Dive into the research topics where Vasileios Exadaktylos is active.

Publication


Featured researches published by Vasileios Exadaktylos.


Psychophysiology | 2011

The role of presleep negative emotion in sleep physiology

Marie Vandekerckhove; Rolf Weiss; Chris Schotte; Vasileios Exadaktylos; Bart Haex; Johan Verbraecken; Raymond Cluydts

Although daytime emotional stressful events are often presumed to cause sleep disturbances, the few studies of stressful life events on sleep physiology have resulted in various and contradictory findings. As research has focused in particular on stress in itself, the present study is the first to investigate the effect using polysomnography (PSG). Results indicate a significant increase in sleep fragmentation, as expressed by decreased sleep efficiency, total sleep time, percentage of rapid eye movement (REM) sleep, and an increased wake after sleep onset latency, total time awake, latency to SWS, number of awakenings and number of awakenings from REM sleep. The results demonstrate that negative emotion correlates with enhanced sleep fragmentation helping us to understand why sleep patterns change and how sleep disturbances may develop.


International Journal of Control | 2010

Multi-objective performance optimisation for model predictive control by goal attainment

Vasileios Exadaktylos; C. James Taylor

This article proposes an approach for performance tuning of model predictive control (MPC) using goal-attainment optimisation of the cost function weighting matrices. The approach is developed for three formulations of the control problem: (i) minimal and (ii) non-minimal design based on the same cost function and (iii) a non-minimal MPC approach with an explicit integral-of-error state variable and modified cost function. This approach is based on earlier research into multi-objective optimisation for proportional-integral-plus control systems. Simulation experiments for a 3-input, 3-output Shell heavy oil fractionator model illustrate the feasibility of MPC goal attainment for multivariable decoupling and attainment of a specific output response. For this example, the integral-of-error state variable offers improved design flexibility and hence, when it is combined with the proposed tuning method, yields an improved closed-loop response in comparison to minimal MPC.


IEEE Journal of Biomedical and Health Informatics | 2014

An Evaluation of Cardiorespiratory and Movement Features With Respect to Sleep-Stage Classification

Tim Willemen; D. Van Deun; Vincent Verhaert; M. Vandekerckhove; Vasileios Exadaktylos; Johan Verbraecken; S. Van Huffel; Bart Haex; Jos Vander Sloten

Polysomnography (PSG) is considered the gold standard to assess sleep accurately, but it can be expensive, time-consuming, and uncomfortable, specifically in long-term sleep studies. Actigraphy, on the other hand, is both cheap and user-friendly, but depending on the application lacks detail and accuracy. Our aim was to evaluate cardiorespiratory and movement signals in discriminating between wake, rapid-eye-movement (REM), light (N1N2), and deep (N3) sleep. The dataset comprised 85 nights of PSG from a healthy population. Starting from a total of 750 characteristic variables (features), problem-specific subsets of 40 features were forwardly selected using the combination of a wrapper method (Cohens kappa statistic on radial basis function (RBF)-kernel support vector machine (SVM) classifier) and filter method (minimum redundancy maximum relevance criterion on mutual information). Final classification was performed using an RBF-kernel SVM. Non-subject-specific wake versus sleep classification resulted in a Cohens kappa value of 0.695, while REM versus NREM resulted in 0.558 and N3 versus N1N2 in 0.553. The broad pool of initial features gave insight in which features discriminated best between the different classes. The classification results demonstrate the possibility of making long-term sleep monitoring more widely available.


International Journal of Psychophysiology | 2014

Sleep misperception, EEG characteristics and Autonomic Nervous System activity in primary insomnia: A retrospective study on polysomnographic data

J Maes; Johan Verbraecken; M Willemen; I. De Volder; A. Van Gastel; N Michiels; I Verbeek; Marie Vandekerckhove; Jan Wuyts; Bart Haex; Tim Willemen; Vasileios Exadaktylos; Arnoud Bulckaert; R Cluydts

Misperception of Sleep Onset Latency, often found in Primary Insomnia, has been cited to be influenced by hyperarousal, reflected in EEG- and ECG-related indices. The aim of this retrospective study was to examine the association between Central Nervous System (i.e. EEG) and Autonomic Nervous System activity in the Sleep Onset Period and the first NREM sleep cycle in Primary Insomnia (n=17) and healthy controls (n=11). Furthermore, the study examined the influence of elevated EEG and Autonomic Nervous System activity on Stage2 sleep-protective mechanisms (K-complexes and sleep spindles). Confirming previous findings, the Primary Insomnia-group overestimated Sleep Onset Latency and this overestimation was correlated with elevated EEG activity. A higher amount of beta EEG activity during the Sleep Onset Period was correlated with the appearance of K-complexes immediately followed by a sleep spindle in the Primary Insomnia-group. This can be interpreted as an extra attempt to protect sleep continuity or as a failure of the sleep-protective role of the K-complex by fast EEG frequencies following within one second. The strong association found between K-alpha (K-complex within one second followed by 8-12 Hz EEG activity) in Stage2 sleep and a lower parasympathetic Autonomic Nervous System dominance (less high frequency HR) in Slow-wave sleep, further assumes a state of hyperarousal continuing through sleep in Primary Insomnia.


Journal of Sports Sciences | 2012

“Yes, we can!”: Perceptions of collective efficacy sources in volleyball

Katrien Fransen; Norbert Vanbeselaere; Vasileios Exadaktylos; Gert Vande Broek; Bert De Cuyper; Daniel Berckmans; Tanja Ceux; Maarten De Backer; Filip Boen

Abstract Collective efficacy can be defined as a groups shared confidence that they will successfully achieve their goal. We examined which behaviours and events are perceived as sources of collective efficacy beliefs in a volleyball context. In Study 1, volleyball coaches from the highest volleyball leagues (n = 33) in Belgium indicated the most important sources of collective efficacy. This list was then adapted based on the literature and on feedback given by an expert focus group, resulting in a 40-item questionnaire. In Study 2, coaches and players from all levels of volleyball in Belgium (n = 2365) rated each of these sources on their predictive value for collective efficacy. A principal component analysis revealed that the 40 sources could be divided into eight internally consistent factors. Positive supportive communication (e.g. enthusiasm after making a point) was identified as the factor most predictive for positive collective efficacy beliefs. The factor referring to the negative emotional reactions of players (e.g. discouraging body language) was the most predictive for negative collective efficacy beliefs. These findings offer a starting point for the design of continuous measurements of collective efficacy through observation.


Behavioral Sleep Medicine | 2014

Effects of Pre-Sleep Media Use on Sleep/Wake Patterns and Daytime Functioning Among Adolescents: The Moderating Role of Parental Control

Delphine Pieters; Elke De Valck; Marie Vandekerckhove; Sandra Pirrera; Johan Wuyts; Vasileios Exadaktylos; Bart Haex; Nina Michiels; Johan Verbraecken; Raymond Cluydts

The aim of this cross-sectional study was to investigate the influence of media use in the hour before bedtime on sleep/wake patterns and daytime functioning among adolescents and to examine the moderating role of parental control. A total of 1,926 Belgian students, 55% girls and 45% boys, with a mean age of 16.9 ± 1.5 years, completed a modified version of the School Sleep Habits Survey. Correlational analyses showed that media use, except television viewing, was associated with later bedtimes and longer sleep latencies. Cell phone and computer usage was negatively associated with daytime functioning. On schooldays, parental control had a moderating effect on the relationship between bedtime and computer use (β = .05; p < .05) and between bedtime and mp3 player use (β = .08; p < .01). During the weekend, parental control played a moderating role between bedtime and television viewing (β = .06; p = .01). As media use can influence the sleep of adolescents considerably, parental control is necessary to regulate the exposure of adolescents to media and to moderate the detrimental effect of media use on sleep.


Poultry Science | 2013

Embryonic development and the physiological factors that coordinate hatching in domestic chickens

Qin Tong; Carlos Eduardo Bites Romanini; Vasileios Exadaktylos; Claudia Bahr; D. Berckmans; Hakim Bergoug; Nicolas Eterradossi; Nancy Roulston; R. Verhelst; I. M. McGonnell; Theo Demmers

Embryonic growth and development is influenced by both endogenous and exogenous factors. The purpose of this review is to discuss the critical stages of chick embryonic development in relation to functional maturation of numerous organ systems, the acquisition of thermoregulation, and the hatching process. In addition, the mechanism of hatching, including sound synchronization and hormonal and environmental stimulation, will be discussed. Finally, the importance of effective hatching synchronization mechanisms will also be highlighted.


PLOS ONE | 2015

Wireless Tri-Axial Trunk Accelerometry Detects Deviations in Dynamic Center of Mass Motion Due to Running-Induced Fatigue

Kurt Schütte; Ellen Maas; Vasileios Exadaktylos; Daniel Berckmans; Rachel Venter; Benedicte Vanwanseele

Small wireless trunk accelerometers have become a popular approach to unobtrusively quantify human locomotion and provide insights into both gait rehabilitation and sports performance. However, limited evidence exists as to which trunk accelerometry measures are suitable for the purpose of detecting movement compensations while running, and specifically in response to fatigue. The aim of this study was therefore to detect deviations in the dynamic center of mass (CoM) motion due to running-induced fatigue using tri-axial trunk accelerometry. Twenty runners aged 18–25 years completed an indoor treadmill running protocol to volitional exhaustion at speeds equivalent to their 3.2 km time trial performance. The following dependent measures were extracted from tri-axial trunk accelerations of 20 running steps before and after the treadmill fatigue protocol: the tri-axial ratio of acceleration root mean square (RMS) to the resultant vector RMS, step and stride regularity (autocorrelation procedure), and sample entropy. Running-induced fatigue increased mediolateral and anteroposterior ratios of acceleration RMS (p < .05), decreased the anteroposterior step regularity (p < .05), and increased the anteroposterior sample entropy (p < .05) of trunk accelerometry patterns. Our findings indicate that treadmill running-induced fatigue might reveal itself in a greater contribution of variability in horizontal plane trunk accelerations, with anteroposterior trunk accelerations that are less regular from step-to-step and are less predictable. It appears that trunk accelerometry parameters can be used to detect deviations in dynamic CoM motion induced by treadmill running fatigue, yet it is unknown how robust or generalizable these parameters are to outdoor running environments.


Poultry Science | 2013

Monitoring the hatch time of individual chicken embryos

Carlos Eduardo Bites Romanini; Vasileios Exadaktylos; Qin Tong; Imelda McGonnel; Theo Demmers; Hakim Bergoug; Nicolas Eterradossi; Nancy Roulston; Pascal Garain; Claudia Bahr; Daniel Berckmans

This study investigated variations in eggshell temperature (T(egg)) during the hatching process of broiler eggs. Temperature sensors monitored embryo temperature by registering T(egg) every minute. Measurements carried out on a sample of 40 focal eggs revealed temperature drops between 2 to 6°C during the last 3 d of incubation. Video cameras recorded the hatching process and served as the gold standard reference for manually labeling the hatch times of chicks. Comparison between T(egg) drops and the hatch time of individuals revealed a time synchronization with 99% correlation coefficient and an absolute average time difference up to 25 min. Our findings suggest that attaching temperature sensors to eggshells is a precise tool for monitoring the hatch time of individual chicks. Individual hatch monitoring registers the biological age of chicks and facilitates an accurate and reliable means to count hatching results and manage the hatch window.


Biological Psychology | 2012

Effects of pre-sleep simulated on-call instructions on subsequent sleep

Johan Wuyts; Elke De Valck; Marie Vandekerckhove; Nathalie Pattyn; Vasileios Exadaktylos; Bart Haex; Jana Maes; Johan Verbraecken; Raymond Cluydts

Nightly interventions, prevalent to on-call situations, can have negative consequences for those involved. We investigated if intervention-free-on-call-nights would also mean disturbance-free-sleep for people on-call. 16 healthy sleepers spent three nights in the laboratory: after a habituation night, reference and on-call night were counterbalanced. Subjects were instructed to react to a sound, presented at unpredictable moments during the night. Participants were unaware of the fact that the sound would never be presented. These vigilance instructions resulted in more subjective wake after sleep onset (WASO), lower subjective sleep efficiency and significantly lower experienced sleep quality. Objectively, a longer sleep onset, an increased amount of WASO and significantly lower sleep efficiency were observed. During deep sleep, significantly more beta activity was recorded. Apart from real nightly interventions increased vigilance during the night causes sleep to be less efficient and less qualitative as shown by an increase in wake-activity and a distorted sleep perception.

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Daniel Berckmans

Katholieke Universiteit Leuven

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Jean-Marie Aerts

Katholieke Universiteit Leuven

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Bart Haex

Katholieke Universiteit Leuven

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Qin Tong

Royal Veterinary College

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Theo Demmers

Royal Veterinary College

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Mitchell Silva

Katholieke Universiteit Leuven

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Marko Topalovic

Katholieke Universiteit Leuven

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