МЕТОД И СИСТЕМА ОЦЕНКИ ФИЗИОЛОГИЧЕСКИХ РЕЗЕРВОВ СПОРТСМЕНА ВО ВРЕМЯ ТРЕНИРОВОК

Introduction. An assessing of the sportsman's physiological reserve (PR) and its dynamics is important when planning and carrying out a training, forecasting sportsman's results. An importance of this problem increases in highperformance sports, and energy consumption sports. A complexity of solving of this problem is caused by the requirement of taking into account of the complex of the biomedical parameters and formation of an integral parameter. This parameter reflects functioning of various body systems which provide significant income to the sportsman’s result achievement. Objective. Development of the method and the system of PR assessing allowing complex investigation of the PR during the training process. Method and materials. For achievement of the aim the tasks were formulated and solved using methods of biomedical research and engineering, mathematical processing and analysis of the diagnostically valuable parameters. Results. The complex of the biomedical parameters reflecting sportsman’s body metabolism in condition of physical exercises is formed. They are the heart rate, the heart rate variability, the pulse frequency, the systolic and diastolic pressure, the respiratory rate, the blood saturation, and the stress index by Baevsky. It is important for PR assessing to assess parameters characterizing sportsman’s physiological reserves at the current moment and its dynamics. The circle diagram is proposed for taking into account of all mentioned parameters and its variation dynamics. The value of the integral PR parameter is an area of a polygon, which is obtained on the circle diagram using normalized values of the diagnostically significant parameters. The method of biomedical investigation of the sportsman and the method of PR assessing based on the complex of the body system parameters are developed. The scheme of assessing of sportsman's body physiological reserves before and after the training is proposed. The scheme allows to assess not only sportsman's body energy consumption during the training but also its recovery after the training. General structures of the biotechnical system and a structures of systems of picking up, registration, processing, and analysis of biomedical signals for assessing of sportsman's physiological reserves are developed. Special attention is given to the development of a wearable device for synchronous registration of the complex of biomedical parameters and algorithms of assessing of the diagnostically significant parameters of sportsman's body physiological reserves. Conclusion. The proposed method of sportsman's physiologic reserves investigation and the structure of the system with spatially distributed architecture allow sport medicine doctor and coach to assess an efficiency of sportsman's training process with respect to his potential capabilities, and efficiently control the training process.Введение. Оценка физиологического резерва (ФР) спортсмена и его динамики актуальна при планировании и проведении тренировок, прогнозировании результатов спортсмена. Актуальность данной проблемы усиливается в спорте высоких достижений, в частности в энергетически затратных видах спорта. Сложность решения этой проблемы обусловлена необходимостью учета комплекса медико-биологических показателей и формирования интегрального показателя, отражающего функционирование различных систем организма, которые обеспечивают значимый вклад в достижение результата спортсмена. Цель работы. Разработка метода и системы оценки ФР, позволяющих комплексно изучить ФР во время тренировочного процесса. Методы и материалы. Для достижения поставленной цели были сформулированы и решены задачи с использованием методов медико-биологических исследований, биомедицинской инженерии, математической обработки и анализа диагностически значимых показателей. Результаты. Сформирован комплекс медико-биологических показателей организма, отражающих метаболизм организма спортсмена в условиях физических нагрузок. Это частота сердечных сокращений, вариабельность сердечного ритма, частота пульса, систолическое и диастолическое давление, частота дыхания, сатурации крови, индекс напряженности Баевского. Для оценки ФР важно оценивать показатели, характеризующие физиологические резервы спортсмена в текущий момент времени и их динамику. Предложена круговая диаграмма для комплексного учета всех перечисленных показателей и динамики их изменения. Количественной мерой интегрального показателя ФР является площадь многогранника, полученного на круговой диаграмме по нормированным значениям диагностически значимых показателей. Разработан метод проведения медико-биологических исследований спортсмена и метод оценки ФР на основе комплекса показателей систем организма, предложена схема оценки физиологических резервов организма спортсмена до и после тренировок. Она позволяет оценить не только энергозатраты организма спортсмена во время тренировок, но и его восстановление после тренировок. Разработана обобщенная структура биотехнической системы и структуры системы съёма, регистрации, обработки и анализа биомедицинских сигналов для оценки физиологических резервов спортсмена. Особое внимание уделено разработке носимого устройства для синхронной регистрации комплекса биомедицинских сигналов и алгоритмам оценки диагностически значимых показателей физиологических резервов организма спортсмена. Заключение. Предложенный метод исследования физиологических резервов спортсмена и структура системы с пространственно-распределенной архитектурой позволяют тренеру и врачу спортивной медицины оценивать эффективность тренировочного процесса спортсмена с учетом его потенциальных возможностей, эффективно управлять тренировочным процессом

Analysis of 3D human gait reconstructed with a depth camera and mirrors

L'évaluation de la démarche humaine est l'une des composantes essentielles dans les soins de santé. Les systèmes à base de marqueurs avec plusieurs caméras sont largement utilisés pour faire cette analyse. Cependant, ces systèmes nécessitent généralement des équipements spécifiques à prix élevé et/ou des moyens de calcul intensif. Afin de réduire le coût de ces dispositifs, nous nous concentrons sur un système d'analyse de la marche qui utilise une seule caméra de profondeur. Le principe de notre travail est similaire aux systèmes multi-caméras, mais l'ensemble de caméras est remplacé par un seul capteur de profondeur et des miroirs. Chaque miroir dans notre configuration joue le rôle d'une caméra qui capture la scène sous un point de vue différent. Puisque nous n'utilisons qu'une seule caméra, il est ainsi possible d'éviter l'étape de synchronisation et également de réduire le coût de l'appareillage. Notre thèse peut être divisée en deux sections: reconstruction 3D et analyse de la marche. Le résultat de la première section est utilisé comme entrée de la seconde. Notre système pour la reconstruction 3D est constitué d'une caméra de profondeur et deux miroirs. Deux types de capteurs de profondeur, qui se distinguent sur la base du mécanisme d'estimation de profondeur, ont été utilisés dans nos travaux. Avec la technique de lumière structurée (SL) intégrée dans le capteur Kinect 1, nous effectuons la reconstruction 3D à partir des principes de l'optique géométrique. Pour augmenter le niveau des détails du modèle reconstruit en 3D, la Kinect 2 qui estime la profondeur par temps de vol (ToF), est ensuite utilisée pour l'acquisition d'images. Cependant, en raison de réflections multiples sur les miroirs, il se produit une distorsion de la profondeur dans notre système. Nous proposons donc une approche simple pour réduire cette distorsion avant d'appliquer les techniques d'optique géométrique pour reconstruire un nuage de points de l'objet 3D. Pour l'analyse de la démarche, nous proposons diverses alternatives centrées sur la normalité de la marche et la mesure de sa symétrie. Cela devrait être utile lors de traitements cliniques pour évaluer, par exemple, la récupération du patient après une intervention chirurgicale. Ces méthodes se composent d'approches avec ou sans modèle qui ont des inconvénients et avantages différents. Dans cette thèse, nous présentons 3 méthodes qui traitent directement les nuages de points reconstruits dans la section précédente. La première utilise la corrélation croisée des demi-corps gauche et droit pour évaluer la symétrie de la démarche, tandis que les deux autres methodes utilisent des autoencodeurs issus de l'apprentissage profond pour mesurer la normalité de la démarche.The problem of assessing human gaits has received a great attention in the literature since gait analysis is one of key components in healthcare. Marker-based and multi-camera systems are widely employed to deal with this problem. However, such systems usually require specific equipments with high price and/or high computational cost. In order to reduce the cost of devices, we focus on a system of gait analysis which employs only one depth sensor. The principle of our work is similar to multi-camera systems, but the collection of cameras is replaced by one depth sensor and mirrors. Each mirror in our setup plays the role of a camera which captures the scene at a different viewpoint. Since we use only one camera, the step of synchronization can thus be avoided and the cost of devices is also reduced. Our studies can be separated into two categories: 3D reconstruction and gait analysis. The result of the former category is used as the input of the latter one. Our system for 3D reconstruction is built with a depth camera and two mirrors. Two types of depth sensor, which are distinguished based on the scheme of depth estimation, have been employed in our works. With the structured light (SL) technique integrated into the Kinect 1, we perform the 3D reconstruction based on geometrical optics. In order to increase the level of details of the 3D reconstructed model, the Kinect 2 with time-of-flight (ToF) depth measurement is used for image acquisition instead of the previous generation. However, due to multiple reflections on the mirrors, depth distortion occurs in our setup. We thus propose a simple approach for reducing such distortion before applying geometrical optics to reconstruct a point cloud of the 3D object. For the task of gait analysis, we propose various alternative approaches focusing on the problem of gait normality/symmetry measurement. They are expected to be useful for clinical treatments such as monitoring patient's recovery after surgery. These methods consist of model-free and model-based approaches that have different cons and pros. In this dissertation, we present 3 methods that directly process point clouds reconstructed from the previous work. The first one uses cross-correlation of left and right half-bodies to assess gait symmetry while the other ones employ deep auto-encoders to measure gait normality

Almost periodic solutions of periodic linear partial functional differential equations

We study conditions for the abstract periodic linear functional differential equation $\dot{x}=Ax+F(t)x_t+f(t)$ to have almost periodic with the same structure of frequencies as $f$. The main conditions are stated in terms of the spectrum of the monodromy operator associated with the equation and the frequencies of the forcing term $f$. The obtained results extend recent results on the subject. A discussion on how the results could be extended to the case when $A$ depends on $t$ is given.Comment: 17 page

Dynamics of health insurance ownership in Vietnam, 2004 – 06

Vietnam is undertaking health financing reform in an attempt to achieve universal health insurance coverage by 2014. Changes in health insurance policies have doubled the overall coverage between 2004 and 2006. However, close examination of Vietnam Living Standard Surveys during this period reveals that about one fifth of the insured in 2004 dropped out of the health insurance system by 2006. This paper uses longitudinal data from VHLSS 2004 and 2006 to investigate the characteristics of those who joined and those who left the health insurance system. We model the static and dynamic health insurance choices allowing for heterogeneity of choices. The results from both static and dynamic models highlight the importance of income and education in determining the movement in or out of a particular scheme. The results from the static models of health insurance determinants show significant adverse selection in the current health insurance system where individuals with bad health are more likely to be insured. The findings from the dynamic models of health insurance ownership also suggest that the current health insurance system entails significant adverse selection where people with worse health are more likely to join or stay in and less likely to move out of the system. Some policy implications to increase coverage and to maintain financial sustainability of the health insurance system are drawn.health insurance, adverse selection, Vietnam

VIETNAMESE HIGH SCHOOL EFL LEARNERS’ LANGUAGE MINDSETS: EXPLORING THE IMPACT OF DEMOGRAPHIC FACTORS

This research employed a quantitative research design targeting (1) investigating Vietnamese high-school students’ patterns of language mindset; and (2) examining the relationship between students’ mindsets and demographic variables, including genders, school groups, and grade groups. The data was collected through the language mindset inventory with 18 items, using a 6-Likert scale. The questionnaire was delivered to EFL students in public high schools via online forms. With 248 valid responses, statistical analysis was conducted to answer the research questions. The findings show that the EFL high-school students endorse a growth mindset, and there was no difference found in the relation between students’ language mindsets and their demographic features.  Article visualizations

インフルエンザウイルスRNA依存RNAポリメラーゼPB1サブユニットの遺伝学的機能解析

筑波大学 (University of Tsukuba)201

Evaluation of Using the Bootstrap Procedure to Estimate the Population Variance

The bootstrap procedure is widely used in nonparametric statistics to generate an empirical sampling distribution from a given sample data set for a statistic of interest. Generally, the results are good for location parameters such as population mean, median, and even for estimating a population correlation. However, the results for a population variance, which is a spread parameter, are not as good due to the resampling nature of the bootstrap method. Bootstrap samples are constructed using sampling with replacement; consequently, groups of observations with zero variance manifest in these samples. As a result, a bootstrap variance estimator will carry a bias to the low side. This work will attempt to demonstrate the bias issue with simulations, as well as explore possible approaches to correct for any such bias. In addition, these approaches will be evaluated for more general performance through simulations