Athletic potential is one of the most complex human traits. An elite athlete is produced from a complex interaction of an innumerable number of traits exhibited by the athlete. However, it’s not clear whether these traits are innate, allowing the athlete to excel, or, alternatively, are a consequence of practice. To be successful, athletes rely heavily on sensory information from the visual and vestibular systems. This study investigated the relationship eye movement control has with innate athleticism by comparing the saccadic and Vestibulo-Ocular Reflex (VOR) responses of former, no longer practicing, elite athletes against their age and gender matched counterparts who were non-elite or non-athletes. Results showed subjects who participated in athletic activities longer (regardless of type or level achieved), showed both significantly better VOR suppression capabilities, as well as higher head velocities while suppressing their VOR. Although, these results are correlative in nature, they do not support the potential that VOR suppression is a learned trait of athletes. A longitudinal study would be required to assess this relationship fully.

Title: Case study of walk and run kinematics involution Objectives: Identify differences in the execution of walk and run, their time and space parameters, by two couples in close family relationship (father and son; father and daughter), who participate in the performance sport of running. Methods: Two family couples (3 men and one woman) participated to laboratory and field tests. Each subject participated in two kind of walk (walk on treadmill at the speed of 5km/h and walk on the athletic track - at natural walking speed) and according the abilities to 15 speeds of running locomotion (13 speeds on treadmill and 2 speeds on the athletic track). Kinematics of all speeds was analysed with the software Kinovea 0.8.15. The thesis is a pilot study, that is trying to ascertain the extend of difference of the execution of locomotion of subjects in the male parental line (father and son; father and daughter). Results: Noticeable difference in the characteristics of all measured speeds of locomotion are seen by the older two members of relatives (74,8 and 40,2 years), the faster was the evaluated speed, the larger was the difference in stride length (6 to 25 cm) and in stride frequency in walking as well as in running (23 to 38 steps per minute). For the second tested two members of a family (53,7 and...

Detecção de linhas de alta tensão em ambientes complexos é uma das tarefas mais desafiadoras em inspeções que utilizam Veículos Aéreos Não Tripulados (VANTs). Este trabalho foca em dar uma solução para este desafio, através do desenvolvimento de um algoritmo de controle de voo de precisão, que guie o VANT de maneira autônoma sobre as linhas de alta tensão. O algoritmo proposto é baseado em quatro etapas: Captura da Imagem, Filtragem da Imagem, Detecção das Linhas e Controle de Voo. Inicialmente a imagem é redimensionada para um tamanho em que as linhas fiquem em maior evidência, depois uma sequência de filtros é aplicada na imagem para reduzir ruído e evidenciar ainda mais as linhas. Depois deste pré-tratamento, um filtro de duas dimensões com formato similar ao de uma linha de alta tensão é usado para extrair os pixels pertencentes as bordas destas linhas. Após a aplicação do filtro de duas dimensões, a Transformada de Hough é aplicada na imagem resultante para detectar os segmentos de reta. Por fim, todos os dados obtidos no processamento da imagem são utilizados para guiar o VANT de maneira autônoma pelas linhas de transmissão. O algoritmo proposto apresenta um eficiente sistema de detecção de linhas de alta tensão, para auxiliar o controle de voo autônomo de um VANT, apresentando resultados convincentes. / Power lines detection in complex environments is one of the most important and challenging tasks in Unmanned Aerial Vehicles (UAV)-based inspections. This work focuses on tackling this challenge by developing a control algorithm to support fine grain UAV control to autonomously guide the aerial platform over the power lines. The proposed algorithm is based on four stages: Image Capturing, Image Filtering, Line Detection and Flight Control. Firstly, the image is cropped to a size that fits all the power lines, then a sequence of filters is applied in the image to reduce noise and highlight these lines. After all the image's pretreatment, a 2D filter with similar shape of a power transmission line is used to extract pixels that belongs to the line's edges. Then, the Hough Transform method detects the line segments in the edges result image. Lastly all the obtained data is used to autonomously guide a UAV over the power transmission lines. The proposed algorithm presents an efficient power transmission lines detecting system to support the autonomous UAV guidance, which presents convincing results.

[Truncated abstract] The goal of this research was to investigate some of the ways that neurons located in the primary motor cortex (MI) code for skilled movement. The task-related and temporally correlated spike activity that occurred during the performance of a goal-directed reaching and retrieval task invloving multiple motion elements and limbs was evaluated in cats. The contributions made by different neuronal subtypes loctaed in MI (which were identified based upon extracellular spiking features0 to the coding of movement was also investigated. Spike activity was simulateously recorded from microelectrodes that were chronically implanted into the motor cortex of both cerebral hemispheres. Task-related neurons modulated their activity during the reaching and retrieval movements of one forelimb, or the postural reactions of the contralateral forelimb and ipsilateral hindlimb. Spike durations and baseline firing rates of neurons were used to distinguish between putative excitatory (Regular Spiking; RS) and inhibitory (Fast Spiking; FS) neurons in the cortex. Frame by frame video analysis of the task was used to subdivide each task trial into stages (e.g. premovement, reach, withdraw and feed) and relate modulations in neural activity to the individual task stages. Task-related neurons were classified as either narrowly tuned or broadly tuned depending on whether their activity modulated during a single task stage or more than one stage respectively. Recordings were made from 163 task-related neurons, and temporal correlations in the spike activity of simultaneously recorded neurons were identified using shuffle corrected cross-correlograms on 662 different neuronal pairs.... The results of this research suggest that temporally correlated activity may reflect the activation of intracortical and callosal connections between a variety of efferent zones involved in task performance, playing a role in the coordination of muscles and limbs during motor tasks. The differences in the patterns of task-related activity, and in the incidence of significant neuronal interactions that were observed between the RS and FS neuronal populations implies that they make different contributions to the coding of movement in MI.

Detecção de linhas de alta tensão em ambientes complexos é uma das tarefas mais desafiadoras em inspeções que utilizam Veículos Aéreos Não Tripulados (VANTs). Este trabalho foca em dar uma solução para este desafio, através do desenvolvimento de um algoritmo de controle de voo de precisão, que guie o VANT de maneira autônoma sobre as linhas de alta tensão. O algoritmo proposto é baseado em quatro etapas: Captura da Imagem, Filtragem da Imagem, Detecção das Linhas e Controle de Voo. Inicialmente a imagem é redimensionada para um tamanho em que as linhas fiquem em maior evidência, depois uma sequência de filtros é aplicada na imagem para reduzir ruído e evidenciar ainda mais as linhas. Depois deste pré-tratamento, um filtro de duas dimensões com formato similar ao de uma linha de alta tensão é usado para extrair os pixels pertencentes as bordas destas linhas. Após a aplicação do filtro de duas dimensões, a Transformada de Hough é aplicada na imagem resultante para detectar os segmentos de reta. Por fim, todos os dados obtidos no processamento da imagem são utilizados para guiar o VANT de maneira autônoma pelas linhas de transmissão. O algoritmo proposto apresenta um eficiente sistema de detecção de linhas de alta tensão, para auxiliar o controle de voo autônomo de um VANT, apresentando resultados convincentes. / Power lines detection in complex environments is one of the most important and challenging tasks in Unmanned Aerial Vehicles (UAV)-based inspections. This work focuses on tackling this challenge by developing a control algorithm to support fine grain UAV control to autonomously guide the aerial platform over the power lines. The proposed algorithm is based on four stages: Image Capturing, Image Filtering, Line Detection and Flight Control. Firstly, the image is cropped to a size that fits all the power lines, then a sequence of filters is applied in the image to reduce noise and highlight these lines. After all the image's pretreatment, a 2D filter with similar shape of a power transmission line is used to extract pixels that belongs to the line's edges. Then, the Hough Transform method detects the line segments in the edges result image. Lastly all the obtained data is used to autonomously guide a UAV over the power transmission lines. The proposed algorithm presents an efficient power transmission lines detecting system to support the autonomous UAV guidance, which presents convincing results.

Detecção de linhas de alta tensão em ambientes complexos é uma das tarefas mais desafiadoras em inspeções que utilizam Veículos Aéreos Não Tripulados (VANTs). Este trabalho foca em dar uma solução para este desafio, através do desenvolvimento de um algoritmo de controle de voo de precisão, que guie o VANT de maneira autônoma sobre as linhas de alta tensão. O algoritmo proposto é baseado em quatro etapas: Captura da Imagem, Filtragem da Imagem, Detecção das Linhas e Controle de Voo. Inicialmente a imagem é redimensionada para um tamanho em que as linhas fiquem em maior evidência, depois uma sequência de filtros é aplicada na imagem para reduzir ruído e evidenciar ainda mais as linhas. Depois deste pré-tratamento, um filtro de duas dimensões com formato similar ao de uma linha de alta tensão é usado para extrair os pixels pertencentes as bordas destas linhas. Após a aplicação do filtro de duas dimensões, a Transformada de Hough é aplicada na imagem resultante para detectar os segmentos de reta. Por fim, todos os dados obtidos no processamento da imagem são utilizados para guiar o VANT de maneira autônoma pelas linhas de transmissão. O algoritmo proposto apresenta um eficiente sistema de detecção de linhas de alta tensão, para auxiliar o controle de voo autônomo de um VANT, apresentando resultados convincentes. / Power lines detection in complex environments is one of the most important and challenging tasks in Unmanned Aerial Vehicles (UAV)-based inspections. This work focuses on tackling this challenge by developing a control algorithm to support fine grain UAV control to autonomously guide the aerial platform over the power lines. The proposed algorithm is based on four stages: Image Capturing, Image Filtering, Line Detection and Flight Control. Firstly, the image is cropped to a size that fits all the power lines, then a sequence of filters is applied in the image to reduce noise and highlight these lines. After all the image's pretreatment, a 2D filter with similar shape of a power transmission line is used to extract pixels that belongs to the line's edges. Then, the Hough Transform method detects the line segments in the edges result image. Lastly all the obtained data is used to autonomously guide a UAV over the power transmission lines. The proposed algorithm presents an efficient power transmission lines detecting system to support the autonomous UAV guidance, which presents convincing results.

L’intégrité de notre système sensorimoteur est essentielle aux interactions adéquates avec notre environnement. Dans la maladie de Parkinson (MP), l’efficacité des interactions quotidiennes entre le corps et l’environnement est fréquemment réduite et diminue la qualité de vie. La MP est une maladie neurodégénérative résultant prioritairement d’une perte neuronale dopaminergique dans les ganglions de la base (GB). Cette dégénérescence altère le fonctionnement normal de la circuiterie associant les GB au cortex cérébral. L’administration de médications dopaminergiques permet d’améliorer les principaux symptômes cliniques moteurs de la MP. Cette thèse porte sur les rôles des GB dans les processus de traitement et d’intégration des informations sensorielles visuelle et proprioceptive et dans les mécanismes d’adaptation visuomotrice. Elle s’intéresse également à l’influence de la médication dopaminergique sur ces fonctions sensorimotrices. Nous avons réalisé trois études comportementales, utilisant l’atteinte manuelle tridimensionnelle comme modèle expérimental. Dans chacune de ces études, nous avons comparé la performance de personnes âgées en santé à celle de personnes souffrant de la MP avec et sans leur médication antiparkinsonienne quotidienne. Ces trois études ont été réalisées à l’aide d’un système d’analyse de mouvement et une station de réalité virtuelle. Dans la première étude, nous avons évalué si les GB sont prioritairement impliqués dans l’intégration sensorimotrice ou le traitement des informations proprioceptives. Pour se faire, nous avons testé la capacité des patients MP à effectuer des atteintes manuelles tridimensionnelles précises dans quatre conditions variant la nature des informations sensorielles (visuelles et/ou proprioceptives) définissant la position de la main et de la cible. Les patients MP ont effectué, en moyenne, de plus grandes erreurs spatiales que les personnes en santé uniquement lorsque les informations proprioceptives étaient la seule source d’information sensorielle disponible. De plus, ces imprécisions spatiales étaient significativement plus grandes que celles des personnes en santé, seulement lorsque les patients étaient testés dans la condition médicamentée. La deuxième étude présentée dans cette thèse a permis de démontrer que les imprécisions spatiales des patients MP dans les conditions proprioceptives étaient le résultat de déficits dans l’utilisation en temps réel des informations proprioceptives pour guider les mouvements. Dans la troisième étude, nous avons évalué si les GB sont prioritairement impliqués dans les mécanismes d’adaptation visuomotrice explicite ou implicite. Pour se faire, nous avons testé les capacités adaptatives des patients MP dans deux tâches variant le décours temporel de l’application d’une perturbation visuomotrice tridimensionnelle. Dans la tâche explicite, la perturbation était introduite soudainement, produisant de grandes erreurs détectées consciemment. Dans la condition implicite, la perturbation était introduite graduellement ce qui engendrait de petites erreurs non détectables. Les résultats montrent que les patients MP dans les conditions médicamentée et non médicamentée présentent des déficits adaptatifs uniquement dans la tâche explicite. Dans l’ensemble, les résultats expérimentaux présentés dans cette thèse montrent que la médication dopaminergique n’améliore pas le traitement des afférences proprioceptives et l’adaptation visuomotrice des personnes souffrant de la MP. Ces observations suggèrent que les dysfonctions dans les circuits dopaminergiques dans les GB ne sont pas les seules responsables des déficits observés dans ces fonctions sensorimotrices. / The integrity of our sensorimotor system is essential for adequate interactions with the environment. In Parkinson’s disease (PD), the efficiency of the daily interactions between the body and the environment is often reduced and interfere with quality of life. PD is a neurodegenerative disease resulting primarily from a dopaminergic neuronal loss in the basal ganglia (BG). This progressive loss of neurons alters the normal functioning of the BG-cortical circuitry. Dopaminergic medication is well known to remediate the major clinical motor symptoms of PD. This thesis investigates the role of the BG in the processing and integration of visual and proprioceptive sensory information and in visuomotor adaptation. This thesis also explores the influence of dopaminergic medication on these sensorimotor functions. We performed three behavioral studies using three-dimensional reaching movements as an experimental model. In each study, we compared the performance of healthy controls and individuals suffering from PD, while in the non-medicated condition and when on their regular daily antiparkinsonian medication. These three studies were performed using a movement analysis system and a virtual reality station. In the first study, we evaluated whether the BG are primarily involved in sensorimotor integration or in the processing of proprioceptive sensory information. We tested the ability of PD patients to perform accurate reaching movements in four conditions in which the sensory signals defining target and hand positions (vision and/or proprioception) varied. On average, PD patients made larger spatial errors than healthy controls when proprioception was the only source of sensory information available. Furthermore, these movement inaccuracies were significantly larger than those of healthy controls only when PD patients where tested in the medicated condition. The second study presented in this thesis demonstrated that the greater movement inaccuracies of PD patients in the proprioceptive conditions resulted mainly from impaired use of proprioceptive information for on-line movement guidance. In the third study, we evaluated whether the BG are primarily involved in explicit or implicit visoumotor adaptation mechanisms. Visuomotor adaptation skills of non-medicated and medicated patients were assessed in two reaching tasks in which the size of spatial errors made during adaptation was manipulated by varying the temporal evolution of a three-dimensional visuomotor perturbation across trials. In the explicit task, the visuomotor perturbation was applied suddenly resulting in large consciously detected initial spatial errors, whereas in the implicit task, the visuomotor perturbation was gradually introduced in small undetectable steps such that subjects never experienced large movement errors. Results indicate that both non- medicated and medicated PD patients showed markedly impaired visuomotor adaptation only in the explicit task. Together, the different experimental data presented in this thesis indicate that dopaminergic medication does not improve proprioceptive processing and visuomotor adaptation skills of PD patients. These observations suggest that dysfunction of dopaminergic circuits within the BG is not solely responsible for the reported sensorimotor deficits.

L’intégrité de notre système sensorimoteur est essentielle aux interactions adéquates avec notre environnement. Dans la maladie de Parkinson (MP), l’efficacité des interactions quotidiennes entre le corps et l’environnement est fréquemment réduite et diminue la qualité de vie. La MP est une maladie neurodégénérative résultant prioritairement d’une perte neuronale dopaminergique dans les ganglions de la base (GB). Cette dégénérescence altère le fonctionnement normal de la circuiterie associant les GB au cortex cérébral. L’administration de médications dopaminergiques permet d’améliorer les principaux symptômes cliniques moteurs de la MP. Cette thèse porte sur les rôles des GB dans les processus de traitement et d’intégration des informations sensorielles visuelle et proprioceptive et dans les mécanismes d’adaptation visuomotrice. Elle s’intéresse également à l’influence de la médication dopaminergique sur ces fonctions sensorimotrices. Nous avons réalisé trois études comportementales, utilisant l’atteinte manuelle tridimensionnelle comme modèle expérimental. Dans chacune de ces études, nous avons comparé la performance de personnes âgées en santé à celle de personnes souffrant de la MP avec et sans leur médication antiparkinsonienne quotidienne. Ces trois études ont été réalisées à l’aide d’un système d’analyse de mouvement et une station de réalité virtuelle. Dans la première étude, nous avons évalué si les GB sont prioritairement impliqués dans l’intégration sensorimotrice ou le traitement des informations proprioceptives. Pour se faire, nous avons testé la capacité des patients MP à effectuer des atteintes manuelles tridimensionnelles précises dans quatre conditions variant la nature des informations sensorielles (visuelles et/ou proprioceptives) définissant la position de la main et de la cible. Les patients MP ont effectué, en moyenne, de plus grandes erreurs spatiales que les personnes en santé uniquement lorsque les informations proprioceptives étaient la seule source d’information sensorielle disponible. De plus, ces imprécisions spatiales étaient significativement plus grandes que celles des personnes en santé, seulement lorsque les patients étaient testés dans la condition médicamentée. La deuxième étude présentée dans cette thèse a permis de démontrer que les imprécisions spatiales des patients MP dans les conditions proprioceptives étaient le résultat de déficits dans l’utilisation en temps réel des informations proprioceptives pour guider les mouvements. Dans la troisième étude, nous avons évalué si les GB sont prioritairement impliqués dans les mécanismes d’adaptation visuomotrice explicite ou implicite. Pour se faire, nous avons testé les capacités adaptatives des patients MP dans deux tâches variant le décours temporel de l’application d’une perturbation visuomotrice tridimensionnelle. Dans la tâche explicite, la perturbation était introduite soudainement, produisant de grandes erreurs détectées consciemment. Dans la condition implicite, la perturbation était introduite graduellement ce qui engendrait de petites erreurs non détectables. Les résultats montrent que les patients MP dans les conditions médicamentée et non médicamentée présentent des déficits adaptatifs uniquement dans la tâche explicite. Dans l’ensemble, les résultats expérimentaux présentés dans cette thèse montrent que la médication dopaminergique n’améliore pas le traitement des afférences proprioceptives et l’adaptation visuomotrice des personnes souffrant de la MP. Ces observations suggèrent que les dysfonctions dans les circuits dopaminergiques dans les GB ne sont pas les seules responsables des déficits observés dans ces fonctions sensorimotrices. / The integrity of our sensorimotor system is essential for adequate interactions with the environment. In Parkinson’s disease (PD), the efficiency of the daily interactions between the body and the environment is often reduced and interfere with quality of life. PD is a neurodegenerative disease resulting primarily from a dopaminergic neuronal loss in the basal ganglia (BG). This progressive loss of neurons alters the normal functioning of the BG-cortical circuitry. Dopaminergic medication is well known to remediate the major clinical motor symptoms of PD. This thesis investigates the role of the BG in the processing and integration of visual and proprioceptive sensory information and in visuomotor adaptation. This thesis also explores the influence of dopaminergic medication on these sensorimotor functions. We performed three behavioral studies using three-dimensional reaching movements as an experimental model. In each study, we compared the performance of healthy controls and individuals suffering from PD, while in the non-medicated condition and when on their regular daily antiparkinsonian medication. These three studies were performed using a movement analysis system and a virtual reality station. In the first study, we evaluated whether the BG are primarily involved in sensorimotor integration or in the processing of proprioceptive sensory information. We tested the ability of PD patients to perform accurate reaching movements in four conditions in which the sensory signals defining target and hand positions (vision and/or proprioception) varied. On average, PD patients made larger spatial errors than healthy controls when proprioception was the only source of sensory information available. Furthermore, these movement inaccuracies were significantly larger than those of healthy controls only when PD patients where tested in the medicated condition. The second study presented in this thesis demonstrated that the greater movement inaccuracies of PD patients in the proprioceptive conditions resulted mainly from impaired use of proprioceptive information for on-line movement guidance. In the third study, we evaluated whether the BG are primarily involved in explicit or implicit visoumotor adaptation mechanisms. Visuomotor adaptation skills of non-medicated and medicated patients were assessed in two reaching tasks in which the size of spatial errors made during adaptation was manipulated by varying the temporal evolution of a three-dimensional visuomotor perturbation across trials. In the explicit task, the visuomotor perturbation was applied suddenly resulting in large consciously detected initial spatial errors, whereas in the implicit task, the visuomotor perturbation was gradually introduced in small undetectable steps such that subjects never experienced large movement errors. Results indicate that both non- medicated and medicated PD patients showed markedly impaired visuomotor adaptation only in the explicit task. Together, the different experimental data presented in this thesis indicate that dopaminergic medication does not improve proprioceptive processing and visuomotor adaptation skills of PD patients. These observations suggest that dysfunction of dopaminergic circuits within the BG is not solely responsible for the reported sensorimotor deficits.