Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

مهندسی زیست پزشکی کاربردی با استفاده از هوش مصنوعی و مدل‌های شناختی بر رابطه بین سه شاخه مختلف مهندسی تمرکز دارد: مهندسی پزشکی، علوم شناختی و علوم کامپیوتر از طریق مدل‌های هوش مصنوعی. این مدل‌ها برای مطالعه نحوه اطاعت سیستم عصبی و سیستم اسکلتی عضلانی از دستورات حرکتی مغز، و همچنین فرآیندهای ذهنی اطلاعات در حین شناخت، زمانی که آسیب‌ها و بیماری‌های عصبی در بدن انسان وجود دارد، مورد استفاده قرار خواهند گرفت.

مهندسی کاربردی زیست پزشکی با استفاده از هوش مصنوعی و مدل‌های شناختی مطالعه آسیب‌ها، بیماری‌ها و بیماری‌های عصبی بدن انسان را از طریق مصنوعی در اختیار خوانندگان قرار می‌دهد. هوشمندی با استفاده از مدل‌های یادگیری ماشین (ML)، یادگیری عمیق (DL) و محاسبات شناختی (CC) بر اساس الگوریتم‌های توسعه‌یافته با MATLAB® و IBM Watson®.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body.

The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®.