scholarly journals Automated Tele-Health Monitoring System for Animal Health using Image Processing

For effective livestock management identification and control of parasites and bacteria is a challenging factor. Parasites, worms and bacteria has a huge hazard to the health of animals, which can harm the gastrointestinal tract, and result in decreased propagative routine, diminished development rates, less yield in terms of meat, fiber and milk, even leads to death of the animals, which in turn causing health problems for human society also. A proper knowledge of animal parasites by identification of them and application of the proper antibiotic or vaccine in appropriate dosage will improve the quality of the livestock and its byproducts leading to the more profits to the farmer. The livestock farms are located at the remote places and the communication between the veterinary doctor to the farmer is poor, took long time and expensive. This can be overcome by utilization of the digital technology and automation of the process which can be handled by a layman at the field to provide electronic information for both e-prescription for intermediate treatment and the information to the expert at the remote location for proper diagnosis and validation of the electronic prescription. Digital image processing of the microscopic pictures with high resolution cameras from the samples of the animals will provide a platform for automation of the process. The detection of the parasites and its stages can be done by denoising the images, segmentation of the parasites, templating the images for isolation of parasites and bacteria by comparing them with preloaded data of different types of parasites and their different stages leads to the identification of parasites, bacteria and giving the electronic prescription within a short period then the diagnosed report can be sent to the expert for validation.In the present paper the authors have proposed a smart system for telemonitoring and mobile health management system.

Author(s):  
Л.Д. Александрова ◽  
Р.А. Богачева ◽  
Т.А. Чекалина ◽  
М.В. Максимова ◽  
В.И. Тимонина

Изучение возможностей мозга для повышения качества обучения находится в центре внимания педагогической науки уже много лет. Развитие цифровизации позволило использовать в исследованиях специальное оборудование, с помощью которого можно оценивать и контролировать работу мозга, развивать умственные способности, познавательные функции и т. п. Нейротехнологии стали эффективным средством, позволяющим трансформировать образовательный процесс за счет подбора специального учебного контента с учетом индивидуальных особенностей обучающихся. Вместе с тем возникает необходимость в конкретизации терминологии и определении актуальных направлений исследований в данной области. For a long time, the study of the brain capabilities for the improvement of the quality of education has been an urgent direction in pedagogical science. Due to the development of digitalization, new areas of research have emerged related to the use of special equipment that makes it possible to assess and control brainwork, develop mental abilities, cognitive functions, etc. One of them is neurotechnology, which is an effective means of transforming the educational process: it offers educational content based on the individual characteristics of students. Thus, a need to concretize the terminology and determine the current research areas arises. The article aims to attempt to fill this gap with the help of a representative analysis of publications on neurotechnologies, as well as the essence of neuroeducation.


Author(s):  
Naoufel Khayati ◽  
Wided Lejouad-Chaari

In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.


2018 ◽  
Vol 192 ◽  
pp. 02009
Author(s):  
Warawut Suwalai

Gait training or gait rehabilitation is one of the major physiotherapy for stroke patients. Evidently, the robot-assisted gait training, as one part of medical technology innovation breakthrough, has important role in the rehabilitation process. The robot effectively improves treatment outcomes, fast recovery time and better convenience from traditional treatment. Typically, stroke patients are trained to walk on treadmill while a physiotherapist carefully supports and re-correct the gait pattern of the patient. For repetitive and long-time rehabilitation, it is so difficult that the physiotherapist can maintain the quality of treatment consistently. To solve such difficulties, the robotic platform is proposed for automatic guiding the gait pattern for ankle rehabilitation. The robot consists of left and right sides. Each of them is actuated by two linear and one rotational actuator. PID algorithm is implemented for position control of each joint. The experimental results show the tracking error in non-loaded and loaded cases.


2010 ◽  
Vol 143-144 ◽  
pp. 404-408
Author(s):  
Jia Bin Deng ◽  
Juan Li Hu ◽  
He Hua Chi ◽  
Jue Bo Wu

Image compression technology has been the research focus in the field of image processing all the time. In this paper, Radix-4 FFT is introduced to realize limit distortion coding of image. The presented method aims to solve the problems of Fourier transform on existing complexity and long time-consuming, and it can reduce the number of data store by conformal symmetry of Fourier transform. Using Radix-4 FFT, the time-consuming can be highly shortened and two different kinds of quantization tables are designed according to image compression ratio and the quality of image.


Author(s):  
Aneta Marichova

Abstract For a long time in economic theory and practice, regulation is only linked to the need for state intervention in monopolistic markets, by developing uniform, simple regulatory rules to limit and control the monopoly power, the monopoly price, mergers and acquisitions between companies in the same industry and others. In recent years the prevailing opinion that government regulation is particularly necessary in oligopolistic markets where there are several leading, dominant companies that can influence the price, quantity and quality of the product offered. However, this regulatory policy should not apply to common rules and taking into account the specifics of the market/industry, market structure (concentration level) of the various market segments and the relevant economic activity. The aim of the study: 1) Evaluation of the efficiency of the construction market, 2) Demonstrate the need for government intervention, 3) Guidelines for the implementation of the regulatory function of the government.


2011 ◽  
Vol 130-134 ◽  
pp. 2581-2584
Author(s):  
Ming De Gong ◽  
Bo Tian ◽  
Yue Ning ◽  
Wei Wei Li

Digital image has a large quantity of image data and long time for transmitting. It affects the real-time of the teleoperation robot system. According to the basic principle of human eye identifying objects and image blurry processing, a new image processing method of simulating human eye range of interest (ROI) is proposed. The method uses the calibration algorithm of three-dimensional stereo target and the Gauss blurred principle. The non-ROI region is blurred to hierarchy for extracting the feature and measurement to finish the image processing tasks. The experimental results showed that the quality of the images was assured and the transmission time was shorted. The real-time of the teleoperation robot system was also guaranteed.


2020 ◽  
Vol 210 ◽  
pp. 06020
Author(s):  
Nadezhda Taranukha ◽  
Yuliya Bezgina ◽  
Natalia Fedota ◽  
Eduard Gorchakov ◽  
Nadezhda Ozheredova ◽  
...  

In this paper, we consider the control of animal carcasses and the detection of such a disease as scrapie. For our country, this animal disease remains quite rare, but at the same time it should not be overlooked. This is due to the fact that there are regular purchases of breeding cattle from abroad, and this is a risk of importing an infected animal. The relevance of the work is that the disease of sheep and goats-scrapie can not be detected at very early stages of its development. Symptomatic manifestations do not appear immediately, there are no clear clinical characteristics, which is why this disease can not be diagnosed for a long time. To assess the health status and predict the quality of products obtained, new approaches are needed to study the products of sheep and goat slaughter. Great importance is given to standard methods of studying, identifying certain patterns in clinical, anamnestic, morphological, metric and anatomical indicators of the animal body. Using these indicators and changing their dynamic characteristics, it is possible to make significant adjustments in the definition of this disease, which would allow us to develop a number of rules for modern veterinary and sanitary evaluation of animal slaughter products.


2019 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Liying Duan

The new medical reform program puts forward new requirements for the prevention and control of chronic diseases and the construction of community health service system. Through the health management of patients with chronic diseases, the health management experience of chronic disease patients is summarized, including collecting data, establishing health records, assessing health risk factors, adopting health interventions, dietary interventions, exercise interventions, medication interventions, psychological interventions, and health education. It is believed that strengthening the health management of patients with chronic diseases can alleviate the suffering of patients, improve the quality of life of patients, and save medical resources.


Author(s):  
Yu-ke Qin ◽  
Jie Zeng ◽  
Li Peng

ABSTRACT To explore the impact of functional training on completion quality of body difficulty, 24 rhythmic gymnasts aged 10-11 years old were randomly and averagely divided into functional training and control group and trained 2h/day for 1 month. Body difficulty – including balance, rotation, and leap difficulties – was measured before and after training. The results showed that the total score, the score of 360° passé pivot and the score of split leap for the functional training group was respectively 1.87, 0.77, and 0.42 points higher than those for the control group (P<0.05) after 1 month of training. Therefore, it can be concluded that functional training based on Functional Movement Screen (FMS) can clearly improve completion quality of body difficulty in juvenile rhythmic gymnastics within a short period of time.


Author(s):  
B.M. Modisane

Prevention, eradication and control of animal diseases, as well as public health assurance are major functions of veterinary authorities. The strategies to control animal diseases differ from disease to disease but are often similar on a disease basis from country to country depending on the main objective of the measure employed. These measures include among others movement control and quarantine, vaccination, treatment and mass slaughtering. However, not every country uses all these control measures at the same time. A combination of measures may be employed to avoid spreading of the disease from infected to clean animals and success is dependent on a variety of factors, including the strength and capacity of the veterinary services, cross border efforts for disease surveillance, political will, diagnostic facilities and financial support.


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