Recherches

Vulnérabilités et Sociétés

Martin Desseilles a contribué à la mise sur pied d’un centre de recherche visant à étudier les populations vulnérables en lien avec les grandes problématiques sociétales. Composées de deux sous-unités de recherches, l’une en protection sociale et l’autre en santé mentale, c’est de cette dernière unité dont le Dr Desseilles s’occupe plus particulièrement.

Psychosocial Research

The Psychosocial Research Projects comprises studies dedicated to the exploration of the interrelationship between psychology and health, in the context of work and business.

 

SPF Emploi « Construction et rédaction d'un guide pratique sur les risques psychosociaux pour les représentants des travailleurs et des employeurs »

 

SPF Emploi « Conception d’un outil : indicateur d’alerte pour les risques psychosociaux en entreprise »

 

Formation « Sensibilisation à la Loi sur le bien-être au travail et à l’utilisation de la BOBET »

 

Etude longitudinale du bien-être et de la qualité de vie dans la population générale et étudiante

 

Reality mining and new media: from big-data to personalized health care

Martin Desseilles and Renaud Lambiotte organize informal meetings, called eStorming meetings, on reality mining and new media in which participants are invited to present core articles and the progress of their research projects. The idea is to propose a time window when to foster creativity and innovation, and to identify cutting edge research questions. eStorming meetings are the opportunity to explore new directions through discussions and interactions. After an important idea is identified, we would perform a small-scale experiment to test the concept and, if successful, apply for additional funding to fully develop it. if you are interested to participate or attend one of these eStorming meetings thank you to send an email to eStorming@mentalthealthsciences.com


Master thesis on Hyperlearling  


    One of the Hyperlearning project goals is to see how we can interact with the various concepts related to learning and memory using current technologies. The result is the development of a web platform adapted to all types of popular devices among students: computers, smartphones and tablets. This platform aims to provide questionnaires to students in different forms : MCQ and/or with images. Students responding to online questionnaires integrate knowledge related to the course more easily while enjoying easy access, work autonomy, flexibility in working time and a pace appropriate to each.
    Questions can be asked before or after the course, the difference is the level of benefits provided. Indeed, post-question provides repetition and feedback on information learned earlier while pre-question leads the student to focus on the information that will be received later. In all cases, the student can answer a questionnaire as many times as desired and feedback on the question is given after each student's answer (whether it is correct or false), this process allows links between the knowledge or information reminders.
    This project is carried out by Julien Lebutte, graduated from the Haute Ecole de Namur and currently a student at Department of Computer Science of the University of Namur (Belgium). Currently, he is working with the Dr Martin Desseilles at the Department of Psychology on his master's thesis. His work is co-promoted by Vincent Englebert at the faculty of Computer Science. In parallel with studies, he is also an editor for several news sites about new technologies and became Microsoft Student Partner in 2010. Passionate developer, Julien participated in the Imagine Cup 2012, a worldwide competition reserved for students. His specialties are web and mobile developments, primarily using Microsoft solutions.

 

Master thesis on the contribution to the study of the measurement and analysis of heart rate variability in real time and in a contextual way


    The main objective of this master thesis is to implement a  continuous monitoring to of the heart rate in order to derive the low and high frequency of heart rate variability (e.i. sympathetic and parasympathetic components). Heart rate will be obtained via a heart rate transmitter and coupled with real-life questions about activities and psychological status. This would lead to a better understanding of transient phenomena, characteristics of disorders related to mental health (anxiety, depression, but also confusion, forgetfulness, intense stress) and linked to disregulation of the autonomic nervous system.
    Lucas Pisuto is a student in final year of Master in Computer Science from the Faculty of Computer Science at the University of Namur (Belgium). After graduating in Business Computing from the Haute École Provinciale de Hainaut-Condorcet (Charleroi) in 2012, he decided to continue his studies and began the preparatory year to Master in Computer Science at the University of Namur in order to earn a master's degree. Currently, he is working with the Dr Martin Desseilles at the Department of Psychology on his master's thesis on a project related to e-health. His work is co-promoted by Vincent Englebert at the faculty of Computer Science. In a nutshell, this work aims to contribute to the study of the measurement and analysis of heart rate variability in real time and in a contextualized way aiming at a better understanding of transient phenomena, characteristics of disorders affecting mental health (anxiety, depression but also confusion, forgetfulness, intense stress). To learn more about heart rate variability, he went to Montreal (Quebec, Canada) to work in a research laboratory at Concordia University managed by the Professor Jean-Philippe GOUIN who is specialized in the study of heart rate variability.

 

Master thesis on motor patern detection through Kinect

 

    The thesis aims to detect soft signs of depression, parkinson or other neuropsychiatric disorders with an impact on motor system, in order to diagnose, prevent and intervene. Our approach is to extract data from the movements of a person which is performing a set of simple tasks in front of a Kinect device by tracking the body, including the face and the fingers. Then these data will be crossed with clinical data that have been previously collected. Afterward these data will noursih an algorithm which would be able to provide a probability of a certain diagnosis. A significant step is to generate large databases which will contain a lot of motor disorders samples in order to give the ability to the algorithm to perform a classification by using all these training data.
    Steven Von Haus is a final-year Master student in Computer Sciences at the University of Namur. In 2012, he graduated from the Haute-École-Namur-Liège-Luxembourg and got a bachelor degree in Business Computing. Then he began the preparatory year to master’s degree in Computer Sciences at the University of Namur in 2012 in order to get a Master degree. Actually, he is working for his Master thesis on an e-health project with Dr Martin Desseilles at the Department of Psychology of the University of Namur (Belgium). His work is co-promoted by Vincent Englebert at the faculty of Computer Science. In a nutshell, this project aims to detect soft signs of depression, parkinson or other neuropsychiatric disorders with an impact on motor system, in order to diagnose, prevent and intervene. For his project he had to specialize in Machine Learning, Computer Vision and also in the impact of neuro-psychological diseases on the motor system. Moreover, to improve his skills, he travelled to Montréal (Canada, Quebec) and worked at Polytechnique Montreal in a research laboratory specialized in Computer Vision and Machine Learning, which is managed by the Professor Cristopher J. Pal.

 

Hypnose clinique

 

L’objectif de cette étude est d’examiner l’utilité de l’hypnose médicale dans la prise en charge des patients diabétiques de type 1 souffrant d’un déséquilibre glycémique depuis plus de 6 mois, malgré la prescription d’un traitement pharmacologique et diététique adéquat. L’utilité de l’hypnose médicale sera examinée en fonction de deux critères : sa capacité à améliorer (à court et à moyen terme) l’équilibre glycémique des patients habituellement en déséquilibre chronique et sa capacité à augmenter leur qualité de vie.

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Stress and Ageing : a Transdisciplinary Research Approach (SATRAP)

 

In this project we would like to integrate the transdisciplinary study of ageing by a theoretical analysis of the concept of stress.We will compare the subjective definition of stress (sociological and psychological surveys) with objective markers of stress (biological markers). The study of stress will highlight concepts of healthy ageing and active ageing. More precisely, it will also provide policy recommendations to improve the quality of life of older people in the future.

Food and mental health

These researches propose a biopsychosocial perspective on the links between mental health and nutrition. In particular, we discuss the links between nutrition, its social role and mental health. The act of eating is studied as a social integrator and regulator, in the light of Durkheim’s theorization of suicide. Nutrition is also examined as self-destruction, with particular cases of “diet-related suicide.” De-structuring of meals and alienating foods are identified as contributing factors to the de- structuring of “nutrition models.” We then discuss the place of food within the psychopathology, and finally, the links between biological parameters reflected in food and psychopathological vulnerability. Avenues of research and intervention along this bio-psychosocial approach are also proposed.

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plate-forme technologique en comportement animal

Notre projet propose de tester les performances de souris dans une variété de tâches sélectionnées pour détecter de subtiles modifications du comportement moteur, de même que des changements minimes au niveau cognitif.

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NEURO-PSYCHOLOGIE

La batterie BAWL (Batterie Attention William Lennox) est un outil informatisé d’évaluation de différentes composantes attentionnelles. Elle a été élaborée dans une visée neuropsychologique. Elle peut toutefois être utilisée à d’autres fins : en psychiatrie, en psychologie cognitive, en gérontologie, en complément d’examens physiologiques, etc. Vu sa structure, elle vise plus spécifiquement l’évaluation de sujets adultes (absence de normes pour des populations d’enfants).

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