scholarly journals Augmented Reality Interface for Complex Anatomy Learning in the Central Nervous System: A Systematic Review

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Rahmita Wirza ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
Iván García-Magariño ◽  
Rohul Amin
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Augmented Reality ◽  
Human Body ◽  
Medical Information ◽  
Quality Criteria ◽  
Gesture Interaction ◽  
Complex Anatomy ◽  
The Central Nervous System ◽  
Comprehensive Study

The medical system is facing the transformations with augmentation in the use of medical information systems, electronic records, smart, wearable devices, and handheld. The central nervous system function is to control the activities of the mind and the human body. Modern speedy development in medical and computational growth in the field of the central nervous system enables practitioners and researchers to extract and visualize insight from these systems. The function of augmented reality is to incorporate virtual and real objects, interactively running in a real-time and real environment. The role of augmented reality in the central nervous system becomes a thought-provoking task. Gesture interaction approach-based augmented reality in the central nervous system has enormous impending for reducing the care cost, quality refining of care, and waste and error reducing. To make this process smooth, it would be effective to present a comprehensive study report of the available state-of-the-art-work for enabling doctors and practitioners to easily use it in the decision making process. This comprehensive study will finally summarise the outputs of the published materials associate to gesture interaction-based augmented reality approach in the central nervous system. This research uses the protocol of systematic literature which systematically collects, analyses, and derives facts from the collected papers. The data collected range from the published materials for 10 years. 78 papers were selected and included papers based on the predefined inclusion, exclusion, and quality criteria. The study supports to identify the studies related to augmented reality in the nervous system, application of augmented reality in the nervous system, technique of augmented reality in the nervous system, and the gesture interaction approaches in the nervous system. The derivations from the studies show that there is certain amount of rise-up in yearly wise articles, and numerous studies exist, related to augmented reality and gestures interaction approaches to different systems of the human body, specifically to the nervous system. This research organises and summarises the existing associated work, which is in the form of published materials, and are related to augmented reality. This research will help the practitioners and researchers to sight most of the existing studies subjected to augmented reality-based gestures interaction approaches for the nervous system and then can eventually be followed as support in future for complex anatomy learning.

scholarly journals Autoantibodies in Neuropsychiatric Systemic Lupus Erythematosus (NPSLE): Can They Be Used as Biomarkers for the Differential Diagnosis of This Disease?

2021 ◽  
Author(s):  
Elias Manca
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Central Nervous System ◽  
Nervous System ◽  
Differential Diagnosis ◽  
Human Body ◽  
Lupus Erythematosus ◽  
Neuropsychiatric Symptoms ◽  
Systemic Lupus ◽  
Neuropsychiatric Systemic Lupus Erythematosus ◽  
The Central Nervous System

AbstractSystemic lupus erythematosus is a complex immunological disease where both environmental factors and genetic predisposition lead to the dysregulation of important immune mechanisms. Eventually, the combination of these factors leads to the production of self-reactive antibodies that can target any organ or tissue of the human body. Autoantibodies can form immune complexes responsible for both the organ damage and the most severe complications. Involvement of the central nervous system defines a subcategory of the disease, generally known with the denomination of neuropsychiatric systemic lupus erythematosus. Neuropsychiatric symptoms can range from relatively mild manifestations, such as headache, to more severe complications, such as psychosis. The evaluation of the presence of the autoantibodies in the serum of these patients is the most helpful diagnostic tool for the assessment of the disease. The scientific progresses achieved in the last decades helped researchers and physicians to discover some of autoepitopes targeted by the autoantibodies, although the majority of them have not been identified yet. Additionally, the central nervous system is full of epitopes that cannot be found elsewhere in the human body, for this reason, autoantibodies that selectively target these epitopes might be used for the differential diagnosis between patients with and without the neuropsychiatric symptoms. In this review, the most relevant data is reported with regard to mechanisms implicated in the production of autoantibodies and the most important autoantibodies found among patients with systemic lupus erythematosus with and without the neuropsychiatric manifestations.

A practical pH-compatible fluorescent sensor for hydrazine in soil, water and living cells

The Analyst ◽  
2020 ◽  
Vol 145 (22) ◽  
pp. 7380-7387 ◽  
Author(s):  
Huming Yan ◽  
Fangjun Huo ◽  
Yongkang Yue ◽  
Jianbin Chao ◽  
Caixia Yin
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Respiratory Tract ◽  
Human Body ◽  
Water Solubility ◽  
Fluorescent Sensor ◽  
Living Cells ◽  
Human Organs ◽  
System P ◽  
The Central Nervous System

The excellent water solubility of hydrazine (N2H4) allows it to easily invade the human body through the skin and respiratory tract, thereby damaging human organs and the central nervous system.

scholarly journals The Role of Vitamin D in Neurodegeneration and Other Pathological Processes of the Central Nervous System

2021 ◽  
Author(s):  
Carl Nikolaus Homann
Keyword(s):  
Central Nervous System ◽  
Vitamin D ◽  
Nervous System ◽  
Human Body ◽  
Serum Levels ◽  
Nerve Cells ◽  
Pivotal Role ◽  
The Central Nervous System ◽  
Measured Response

The nervous system is the most complex organ in the human body, and it is the most essential. However nerve cells are particularly precious as, only like muscle cells, once formed, they do not replicate. This means that neural injuries cannot easily be replaced or repaired. Vitamin D seems to play a pivotal role in protecting these vulnerable and most important structures, but exactly how and to what extend is still subject to debate. Systematically reviewing the vast body of research on the influence of Vitamin D in various neuropathological processes, we found that Vitamin D particularly plays a mitigating role in the development of chronic neurodegeneration and the measured response to acutely acquired traumatic and non-traumatic nerve cells incidents. Adequate serum levels of Vitamin D before the initiation of these processes is increasingly viewed as being neuroprotective. However, comprehensive data on using it as a treatment during the ongoing process or after the injury to neurons is completed are much more ambiguous. A recommendation for testing and supplementation of insufficiencies seems to be well-founded.

Safe control of SEMS in group interaction

2019 ◽  
pp. 23-31 ◽  
Author(s):  
A. E. Gorodetskiy ◽  
V. G. Kurbanov ◽  
I. L. Tarasova
Keyword(s):  
Decision Making ◽  
Central Nervous System ◽  
Nervous System ◽  
Internal State ◽  
Optimal Solution ◽  
Quality Criteria ◽  
Phase Constraints ◽  
Decision Making System ◽  
The Central Nervous System ◽  
Safe Control

Introduction:In control over a group of interacting smart electromechanical systems (SEMS), situations may arise when the operator’s instructions and/or the automatic control system at a higher level contradict the internal state of the controlled SEMS and/or the environment of choice. Such situations can be prevented by algorithms which check the fulfillment of conditions for the admissibility of movements. These algorithms can be based on modeling the SEMS behavior using logical-probabilistic or logicallinguistic descriptions of situations, and on non-scalar quality criteria when making decisions.Purpose:The development of algorithms for safe control over robots based on SEMS modules with phase constraints, under incomplete certainty of the environment.Results:Algorithms have been developed for safe control over three robots, using a mathematical description of situational control over a group of SEMS and the methodology of organizing the situational control over a group of mobile SEMS. The algorithms move the robots from certain current positions to specified terminal positions, avoiding their collisions with each other. In order to avoid collisions, the decision-making system in a robot’s central nervous system uses robot’s priorities based on the distance between the robots. An approach has been proposed to overcome uncertainty on the way (trajectory) of the robots. Uncertainties in the form of logical-probabilistic and logical-linguistic type constraints are considered. It is shown that these restrictions can be translated into a logical-interval form. This allows you to use standard mathematical programming procedures when searching for the optimal solution.Practical relevance:The obtained algorithms can be used for decision-making in the central nervous system and when controlling robots.

scholarly journals Age-specific involutive characteristics of cognitive functions

2019 ◽  
Vol 4 (2) ◽  
pp. 21-26
Author(s):  
Simerzin VV ◽  
Fatenkov OV ◽  
Panisheva YaA ◽  
Galkina MA ◽  
Gagloev AV
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Cognitive Decline ◽  
Elderly People ◽  
Human Body ◽  
Social Factors ◽  
Cognitive Functions ◽  
The Elderly ◽  
Review Article ◽  
The Central Nervous System

The review article reflects the specific features of involutive cognitive functions in elderly people. Furthermore the basis of these changes is the natural physiological process of morphofunctional remodeling of the human body in general and of the central nervous system in particular. As a result, the elderly and senium people have cognitive decline, and in the presence of provoking medical and social factors and comorbid diseases they may have transient cognitive dysfunction.

scholarly journals Impact of Signal Energy from Vedic Chanting on Human Neurological System

2019 ◽  
Vol 9 (2S3) ◽  
pp. 102-105
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Music Therapy ◽  
Human Body ◽  
Acoustic Signals ◽  
Signal Energy ◽  
The Central Nervous System ◽  
The Impact ◽  
Neurological System

The human neurological system has an effective impact by meditation, mantra therapy, music therapy, Raga therapy and Vedic chanting. To detect this effect on Human Neurological system, it is necessary to analyse the signal energy from the appropriate sources which are generating audible frequencies. By these generated frequencies, the Central Nervous System of brain will be relaxed. This process follows, Calculation of Special acoustic signals originated from Vedic Chanting, classification of these signals with respect to the levels of amplitude and frequency, analysing the impact of these signal energies on the neurotransmission. It also focuses and involves limbic and para-limbic regions of neuro-transmission. This paper presents impact of vedic chanting signal positive vibrations on human body brain and nervous System

scholarly journals Prediction of Brain Stroke Severity Using Machine Learning

2020 ◽  
Vol 34 (6) ◽  
pp. 753-761
Author(s):  
Vamsi Bandi ◽  
Debnath Bhattacharyya ◽  
Divya Midhunchakkravarthy
Keyword(s):  
Machine Learning ◽  
Central Nervous System ◽  
Nervous System ◽  
Medical Information ◽  
Research Work ◽  
Machine Learning Techniques ◽  
World Health ◽  
Stroke Severity ◽  
Learning Techniques ◽  
The Central Nervous System

In recent years strokes are one of the leading causes of death by affecting the central nervous system. Among different types of strokes, ischemic and hemorrhagic majorly damages the central nervous system. According to the World Health Organization (WHO), globally 3% of the population are affected by subarachnoid hemorrhage, 10% with intracerebral hemorrhage, and the majority of 87% with ischemic stroke. In this research work, Machine Learning techniques are applied in identifying, classifying, and predicting the stroke from medical information. The existing research is limited in predicting risk factors pertained to various types of strokes. To address this limitation a Stroke Prediction (SPN) algorithm is proposed by using the improvised random forest in analyzing the levels of risks obtained within the strokes. This research of the Stroke Predictor (SPR) model using machine learning techniques improved the prediction accuracy to 96.97% when compared with the existing models.

scholarly journals NEW APPROACHES TO HELPING CHILDREN AT THE CHILDREN’S CITY ADVISORY-DIAGNOSTIC CENTER

2019 ◽  
Vol 20 (5) ◽  
pp. 283-287 ◽  
Author(s):  
L. A. Zdanova ◽  
Marina N. Salova ◽  
I. V. Knyazeva ◽  
A. V. Kochetova ◽  
T. L. Laykova
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Neurological Disorders ◽  
Morbidity Rate ◽  
Modular Approach ◽  
Form Complex ◽  
Diagnostic Center ◽  
The Central Nervous System ◽  
Health Disorders ◽  
Comprehensive Study

There are presented data of a comprehensive study of the health status of schoolchildren, there is given the characteristics of their physical and neuropsychic development, as well as the morbidity rate of children, with taking into account sequellae of perinatal lesions of the central nervous system. In children with chronic somatic pathology, neurological disorders and disorders of the psychoemotional sphere were established to be often detected. This determines the need for a comprehensive neuro- and psychosomatic approach to their treatment and rehabilitation. One of the forms of personification of medical and social assistance for such children was shown to be a modular approach allowing form complex programs consisted of these modules for correction of various health disorders. The use of these modules has prospects, as it optimizes the activity of consulting and diagnostic centers.

scholarly journals Pathological changes in the central nervous system, caused by a lumbar puncture

2020 ◽  
Vol VIII (3) ◽  
pp. 28-66
Author(s):  
V. P. Osipov
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Lumbar Puncture ◽  
Human Body ◽  
Harmful Effect ◽  
Modern Medicine ◽  
Pathological Changes ◽  
Scientific Experiments ◽  
The Central Nervous System ◽  
Established Fact

One of the most important purposes of scientific experiments performed by doctors on animals is to serve the interests of the clinic; it is a well-established fact, thanks to which modern medicine in general, and the clinic in particular, has been enriched with the greatest discoveries. Particularly important is the preliminary conduct of experiments on animals, when the clinic offers new means of treating diseases, which, for theoretical reasons, may turn out to be harmful to the human body; the use of such a means can be justified only in the case if the good results achieved by them cover its temporary harmful effect; but even under such conditions, the doctor should be aware of the unfavorable aspects of the action of the means used by him.

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