Cognitive Predictive Maintenance Tools For Brain Diseases

This book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson's disease, Alzheimer's disease, and depression. These are needed since there are no proper medical tests available to predict these diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates innovative processes for treating cognitive diseases. Early and exact identification and treatment strategies are incorporated. Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions. Analysis with existing cognitive disease solutions is incorporated and simulations provided. The novelty of the book lies in the accurate prediction of cognitive diseases. Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.

New tools for early detection of cognitive brain diseases like depression, epilepsy, parkinson’s disease etc.and the design, analysia, application of such tools. Immense technical value, novelty, importance of work which is valuable for researchers. Incorporates recent technology - breakthrougha in treating brain disease patients.

As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

A review of cognitive health screening tools for the doctor's office, health clinic, and other primary care settings.We are at the front edge of a rising wave of Alzheimer's and other dementia impairment as the population ages, and this wave of millions will severely strain national health care systems. MyBrainTest has identified and researched several computerized cognitive health screening tools that can be administered in the physician's office to screen for cognitive impairment. Products reviewed include Brain Resource (WebNeuro), Cambridge Cognition (CANTAB), CNS Vital Signs, CogState, HeadMinder CST, Medical Care Corp. (MCI-Screen), MedInteract (Computer Self Test-ALZselftest), MemTrax, NeuroTrax (MindStreams), Psychology Software Tools (CAMCI), and Screen Inc (CANS-MCI).

The costs associated with a drug’s clinical trials are so significant that it has become necessary to validate both its safety and efficacy in animal models prior to the continued study of the drug in humans. Featuring contributions from distinguished researchers in the field of cognitive therapy research, Animal Models of Cognitive Impairment examines some of the most popular and successful animal archetypes used in the context of drug discovery. It provides integrated coverage of the latest research concerning neuronal systems relevant to cognitive function and dysfunction, assimilating reviews of this research within the context of each chapter. This approach is unique in that it brings together molecular and neurochemical methodologies, behavioral applications in translational models, and clinical applications. The book comprehensively discusses a wide variety of animal models of cognitive impairment, including genetic, lesion, pharmacological, and aging related impairments. It also explores the significance of this research in regards to the treatment of various addictions and disorders such as stroke, autism, Alzheimer’s, schizophrenia, and ADHD. Edited by two renowned authorities in the field, Animal Models of Cognitive Impairment is a timely book that provides integrated coverage of cutting-edge research that concerns neuronal systems relevant to cognitive function and dysfunction.

The Veterans Benefits Administration (VBA) provides disability compensation to veterans with a service-connected injury, and to receive disability compensation from the Department of Veterans Affairs (VA), a veteran must submit a claim or have a claim submitted on his or her behalf. Evaluation of the Disability Determination Process for Traumatic Brain Injury in Veterans reviews the process by which the VA assesses impairments resulting from traumatic brain injury for purposes of awarding disability compensation. This report also provides recommendations for legislative or administrative action for improving the adjudication of veterans' claims seeking entitlement to compensation for all impairments arising from a traumatic brain injury.

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data