This Book is comprised of solutions for the treatment of cognitive diseases with Bionics or Bioinspired Algorithms using future technologies such as artificial intelligence, machine learning, Internet of Things (IoT), data science, and more. Studying the behavior of nature and providing the medical engineering solutions would not only be unique but would result in substantial contribution in solution of so many cognitive disease problems which are not detected correctly in initial stages. This publication would be a breakthrough in the field of medical science, especially in the field of cognitive diseases by providing solutions in the form of algorithms and devices that could be useful for the brain disease patient for early detection. This book is essential for various medical research centers, engineering institutions across the world, medical colleges, biomedical research centers, and electronics and communication research centers.

Health is a basic precondition for happiness and progress in the life of an individual as well as a community. Quality health care is the lifeline for the growth of any nation. We are undergoing a global health crisis characterized by mounting inequities within and between countries. Despite the tremendous medicinal advances and increasing average life expectancy, there is disturbing evidence of rising disparities in health status among people. We are frantic with worry as there is no cure in sight for AIDS so far. But then; what about diabetes?1 Which is said to be common problem, which has serious consequences. Diabetes mellitus is a silent disease and is now recognized as one of the fastest growing threats to public health in almost all countries of the world2. It has been incapacitating people for a long time but it has eluted a cure for many decades now.

This book involves the design, analysis, and application of various Cognitive Predictive Maintenance Tests with help of tools like vibration analysis tools, Ultrasonic analysis tools, Infrared analysis tools, Oil analysis tools, Laser-shaft alignment tools, and Motor circuit analysis tools in the prediction of various Cognitive diseases like Epilepsy, Parkinson’s Disease, Alzheimer’s, depression, etc. which is need of the day since there are no proper medical tests available to predict the 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. Uses Future Technologies like Artificial Intelligence, Machine Learning, IoT, Data Science, etc. are used for solutions. Analysis with the existing Cognitive Diseases Solutions is incorporated and Simulations are provided. Novelty of the book lies in the Accurate Prediction of Cognitive diseases. Encompassing novel technologies like the Industrial Internet of Things, Artificial Intelligence, Machine Learning, Data Sciences, Big Data, and various communication protocols or devices available for cognitive diseases for the design of newly designed equipment would be an asset of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of the product. Can be added to the curriculum of Medical colleges and Biomedical Engineering students. Possible vendors can be Biomedical Research centers like Biotechnika, Indian Medical Research Association (ICMR). It would be a breakthrough for Biomedical Companies to launch the new product.