Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

By Jorge Garza Ulloa

Introduction

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models delves into the intricate relationship between three multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science, and Computer Science. This book leverages Artificial Intelligence models to understand how the nervous system and musculoskeletal system respond to movement orders from the brain, as well as the mental processes involved in cognition when injuries and neurologic diseases are present in the human body.

Interaction Between Biomedical Engineering, Cognitive Science, and Computer Science

The interaction between these three areas is studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body. This includes 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.

AI Models and Biomedical Instruments

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.

AI and Cognitive Computing in Biomedical Engineering

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.

Cognitive Science and Human Cognitive Relation

This book provides an introduction to Cognitive science, cognitive computing, and human cognitive relation to help in the solution of AI Biomedical engineering problems. It explains different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type, and cognitive learning, and to obtain many AI models for Biomedical Engineering problems.

Evolution of Artificial Intelligence

The book covers the evolution of Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB as a programming language with many add-on MATLAB toolboxes, and AI-based commercial products cloud services such as IBM (Cognitive Computing, IBM Watson, IBM Watson Studio, IBM Watson Studio Visual Recognition), and others.

Tools for Biomedical Engineering Analysis

This book provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics, and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients.

Book Details

Author: Jorge Garza Ulloa

Publisher: Elsevier Science

Publication Date: November 30, 2021

Language: English

ISBN: 9780128207185, 9780128209349