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Les douleurs fantômes : physiopathologie et traitements : La place de la kinésithérapie [TFE / Mémoire] / Fanny Paradis, Auteur ; Vincent Barvaux, Directeur de la recherche . - Montignies-sur-Sambre : Haute Ecole Louvain en Hainaut, 2016 . - 119p. ; 30cm. Le fichier numérique de ce document est disponible uniquement pour les membres de la Haute Ecole Louvain-en-Hainaut.
Veuillez vous connecter pour accéder à votre compte lecteur. Langues : Français ( fre) |
Exemplaires

Etude péliminaire de la prise en charge de la douleur dans un service de kinésithérapie vietnamien [TFE / Mémoire] / Marie Bourgois, Auteur ; Laurie Cosard, Auteur ; Paul Thiry, Promoteur du mémoire ; Vincent Barvaux, Promoteur du mémoire . - Session de juin . - Montignies-sur-Sambre : Haute Ecole Louvain en Hainaut, 2020 . - 209p. Le fichier numérique de ce document est disponible uniquement pour les membres de la Haute Ecole Louvain-en-Hainaut.
Veuillez vous connecter pour accéder à votre compte lecteur. Langues : Français ( fre) |
Exemplaires
Titre : |
Fine adaptive control of precision grip without maximum pinch strength changes after mediannerve mobilization |
Type de document : |
document électronique |
Auteurs : |
Frédéric Dierick ; J.-M. Brismée ; Olivier White ; Anne-France Bouché ; Céline Perichon ; Nastasia Filoni ; Vincent Barvaux ; Fabien Buisseret |
Année de publication : |
2020 |
Note générale : |
Cet article est une prépublication.
doi: https://doi.org/10.1101/2020.04.01.2004963 |
Langues : |
Anglais (eng) |
Résumé : |
Fine dexterity critically depends on information conveyed by the median nerve. While the effects of its compression andvibration are well characterized, little is known about longitudinal tension and excursion. Using a force-sensitive manipulandum,a numeric dynamometer and Semmes-Weinstein monofilaments, we examined the adaptations of precision grip control,maximum pinch strength and fingertips pressure sensation threshold before and immediately after the application of longitudinaltension and excursion mobilizations applied on the median nerve. Grip (GF) and load (LF) forces applied by the thumb,index and major fingers were collected in 40 healthy young participants during three different grip precision tasks along thedirection of gravity. For grip-lift-drop task, maximumGFandLFand their first time derivatives were computed. For up-downoscillations, means ofGFandLFand their variability were computed. For oscillations with up and down collisions, peaksofGFandLF, time delay betweenGFpeak and contact, and values ofGFandLFat contact were collected. Our findingsshow that median nerve mobilizations induce significant fine adaptations of precision grip control in the three different tasksbut mainly during grip-lift-drop and oscillations with collisions. Fingertips pressure sensation thresholds at index and thumbwere significantly reduced after the mobilizations. No significant changes were observed for maximum pinch strength. Weconclude that precision grip adaptations observed after median mobilizations could be partly explained by changes in cutaneousmedian-nerve mechanoreceptive afferents from the thumb and index fingertip |
En ligne : |
https://www.medrxiv.org/content/10.1101/2020.04.01.20049635v1.full.pdf |
Permalink : |
./index.php?lvl=notice_display&id=84498 |
Fine adaptive control of precision grip without maximum pinch strength changes after mediannerve mobilization [document électronique] / Frédéric Dierick ; J.-M. Brismée ; Olivier White ; Anne-France Bouché ; Céline Perichon ; Nastasia Filoni ; Vincent Barvaux ; Fabien Buisseret . - 2020. Cet article est une prépublication.
doi: https://doi.org/10.1101/2020.04.01.2004963 Langues : Anglais ( eng)
Résumé : |
Fine dexterity critically depends on information conveyed by the median nerve. While the effects of its compression andvibration are well characterized, little is known about longitudinal tension and excursion. Using a force-sensitive manipulandum,a numeric dynamometer and Semmes-Weinstein monofilaments, we examined the adaptations of precision grip control,maximum pinch strength and fingertips pressure sensation threshold before and immediately after the application of longitudinaltension and excursion mobilizations applied on the median nerve. Grip (GF) and load (LF) forces applied by the thumb,index and major fingers were collected in 40 healthy young participants during three different grip precision tasks along thedirection of gravity. For grip-lift-drop task, maximumGFandLFand their first time derivatives were computed. For up-downoscillations, means ofGFandLFand their variability were computed. For oscillations with up and down collisions, peaksofGFandLF, time delay betweenGFpeak and contact, and values ofGFandLFat contact were collected. Our findingsshow that median nerve mobilizations induce significant fine adaptations of precision grip control in the three different tasksbut mainly during grip-lift-drop and oscillations with collisions. Fingertips pressure sensation thresholds at index and thumbwere significantly reduced after the mobilizations. No significant changes were observed for maximum pinch strength. Weconclude that precision grip adaptations observed after median mobilizations could be partly explained by changes in cutaneousmedian-nerve mechanoreceptive afferents from the thumb and index fingertip |
En ligne : |
https://www.medrxiv.org/content/10.1101/2020.04.01.20049635v1.full.pdf |
Permalink : |
./index.php?lvl=notice_display&id=84498 |
|
Exemplaires

Titre : |
La place du kinésithérapeute dans la prise en charge des patients en soins palliatifs. Confrontation de la théorie et de la pratique de terrain |
Type de document : |
TFE / Mémoire |
Auteurs : |
Pierre Lambin, Auteur ; Vincent Barvaux, Directeur de la recherche ; Jean-François Stoffel, Directeur de la recherche |
Editeur : |
Montignies-sur-Sambre : Haute Ecole Louvain en Hainaut |
Année de publication : |
2015 |
Importance : |
63p. |
Format : |
30cm |
Note générale : |
Le fichier numérique de ce document est disponible uniquement pour les membres de la Haute Ecole Louvain-en-Hainaut ainsi que ses étudiants. Veuillez-vous connecter pour accéder à votre compte lecteur |
Langues : |
Français (fre) |
Index. décimale : |
MK Mémoire Kinésithérapie |
Permalink : |
./index.php?lvl=notice_display&id=39606 |
La place du kinésithérapeute dans la prise en charge des patients en soins palliatifs. Confrontation de la théorie et de la pratique de terrain [TFE / Mémoire] / Pierre Lambin, Auteur ; Vincent Barvaux, Directeur de la recherche ; Jean-François Stoffel, Directeur de la recherche . - Montignies-sur-Sambre : Haute Ecole Louvain en Hainaut, 2015 . - 63p. ; 30cm. Le fichier numérique de ce document est disponible uniquement pour les membres de la Haute Ecole Louvain-en-Hainaut ainsi que ses étudiants. Veuillez-vous connecter pour accéder à votre compte lecteur Langues : Français ( fre) |
Exemplaires
Titre : |
Timed Up and Go and Six-Minute Walking Tests with Wearable Inertial Sensor: One Step Further for the Prediction of the Risk of Fall in Elderly Nursing Home People |
Type de document : |
document électronique |
Auteurs : |
Fabien Buisseret ; Louis Catinus ; Remi Grenard ; L. Jojczyk ; Dylan Fievez ; Vincent Barvaux ; Frédéric Dierick |
Année de publication : |
2020 |
Langues : |
Français (fre) |
Résumé : |
Assessing the risk of fall in elderly people is a difficult challenge for clinicians. Since falls represent one of the first causes of death in such people, numerous clinical tests have been created and validated over the past 30 years to ascertain the risk of falls. More recently, the developments of low-cost motion capture sensors have facilitated observations of gait differences between fallers and nonfallers. The aim of this study is twofold. First, to design a method combining clinical tests and motion capture sensors in order to optimize the prediction of the risk of fall. Second to assess the ability of artificial intelligence to predict risk of fall from sensor raw data only. Seventy-three nursing home residents over the age of 65 underwent the Timed Up and Go (TUG) and six-minute walking tests equipped with a home-designed wearable Inertial Measurement Unit during two sets of measurements at a six-month interval. Observed falls during that interval enabled us to divide residents into two categories: fallers and nonfallers. We show that the TUG test results coupled to gait variability indicators, measured during a six-minute walking test, improve (from 68% to 76%) the accuracy of risk of fall’s prediction at six months. In addition, we show that an artificial intelligence algorithm trained on the sensor raw data of 57 participants reveals an accuracy of 75% on the remaining 16 participants. |
En ligne : |
https://luck.synhera.be/bitstream/handle/123456789/271/sensors-20-03207.pdf?sequ [...] |
Permalink : |
./index.php?lvl=notice_display&id=98163 |
Timed Up and Go and Six-Minute Walking Tests with Wearable Inertial Sensor: One Step Further for the Prediction of the Risk of Fall in Elderly Nursing Home People [document électronique] / Fabien Buisseret ; Louis Catinus ; Remi Grenard ; L. Jojczyk ; Dylan Fievez ; Vincent Barvaux ; Frédéric Dierick . - 2020. Langues : Français ( fre)
Résumé : |
Assessing the risk of fall in elderly people is a difficult challenge for clinicians. Since falls represent one of the first causes of death in such people, numerous clinical tests have been created and validated over the past 30 years to ascertain the risk of falls. More recently, the developments of low-cost motion capture sensors have facilitated observations of gait differences between fallers and nonfallers. The aim of this study is twofold. First, to design a method combining clinical tests and motion capture sensors in order to optimize the prediction of the risk of fall. Second to assess the ability of artificial intelligence to predict risk of fall from sensor raw data only. Seventy-three nursing home residents over the age of 65 underwent the Timed Up and Go (TUG) and six-minute walking tests equipped with a home-designed wearable Inertial Measurement Unit during two sets of measurements at a six-month interval. Observed falls during that interval enabled us to divide residents into two categories: fallers and nonfallers. We show that the TUG test results coupled to gait variability indicators, measured during a six-minute walking test, improve (from 68% to 76%) the accuracy of risk of fall’s prediction at six months. In addition, we show that an artificial intelligence algorithm trained on the sensor raw data of 57 participants reveals an accuracy of 75% on the remaining 16 participants. |
En ligne : |
https://luck.synhera.be/bitstream/handle/123456789/271/sensors-20-03207.pdf?sequ [...] |
Permalink : |
./index.php?lvl=notice_display&id=98163 |
|
Exemplaires