Jorge/ University of Texas, El Paso, TX, USA) Garza Ulloa
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
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Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models explores the relationship between biomedical engineering, cognitive science, and computer science through AI models to study the nervous system and musculoskeletal system's response to brain orders. It aims to develop AI models for injuries and neurologic diseases, study brain diseases, spine diseases, and the nerves connecting them, and analyze bioinstrument and cognitive device data to detect, classify, and forecast these processes.
Format: Paperback / softback
Length: 704 pages
Publication date: 29 November 2021
Publisher: Elsevier Science Publishing Co Inc
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models delves into the intricate relationship between three diverse multidisciplinary fields: Biomedical Engineering, Cognitive Science, and Computer Science. Through the utilization of Artificial Intelligence models, this book aims to explore the mechanisms by which the nervous system and musculoskeletal system respond to movement commands originating from the brain, as well as the cognitive processes involved in information processing during injuries and neurologic diseases within the human body. This comprehensive exploration seeks to develop AI models that can accurately diagnose and predict injuries and neurologic diseases, shedding light on diseases of the brain, spine, and nerves that connect them to the musculoskeletal system.
The field of neuroscience encompasses an extensive range of over 600 diseases, each affecting the human cognitive system. These diseases, including brain tumors, epilepsy, Parkinson's disease, stroke, and numerous others, profoundly impact the central nervous system (CNS) by transmitting commands through the peripheral nervous systems (PNS) to execute tasks utilizing the musculoskeletal system. The detection of these actions is facilitated by various bioinstruments and cognitive device data, enabling the application of AI through Machine Learning, Deep Learning, and Cognitive Computing models powered by algorithms developed in MATLAB.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models offers readers a comprehensive exploration of injuries, illnesses, and neurological diseases through the lens of Artificial Intelligence. By employing Machine Learning, Deep Learning, and Cognitive Computing models driven by algorithms, this book provides valuable insights into the diagnosis, prediction, classification, and forecasting of various human body ailments, diseases, and injuries. This resource serves as a valuable tool for researchers, practitioners, and students in the fields of Biomedical Engineering, Cognitive Science, and Computer Science, empowering them to advance our understanding of the human body and develop innovative solutions for healthcare and rehabilitation.
Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780128207185
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