Applied Biomechatronics Using Mathematical Models

by Jorge Garza Ulloa

Overview

Applied Biomechatronics Using Mathematical Models provides an appropriate methodology to detect and measure diseases and injuries relating to human kinematics and kinetics. It features mathematical models that, when applied to engineering principles and techniques in the medical field, can be used in assistive devices that work with bodily signals. The use of data in the kinematics and kinetics analysis of the human body, including musculoskeletal kinetics and joints and their relationship to the central nervous system (CNS) is covered, helping users understand how the complex network of symbiotic systems in the skeletal and muscular system work together to allow movement controlled by the CNS.

With the use of appropriate electronic sensors at specific areas connected to bio-instruments, we can obtain enough information to create a mathematical model for assistive devices by analyzing the kinematics and kinetics of the human body. The mathematical models developed in this book can provide more effective devices for use in aiding and improving the function of the body in relation to a variety of injuries and diseases.

Product Details

ISBN-13:	9780128125946
Publisher:	Elsevier Science
Publication date:	06/09/2018
Pages:	662
Product dimensions:	7.50(w) x 9.25(h) x (d)

About the Author

Dr. Jorge Garza-Ulloa is the CEO/Director of Garzaulloa.org Research Consulting Services. He graduated from the doctoral program in Electrical & Computer Eng. at University of Texas El Paso (UTEP). Dr. Garza-Ulloa has focused his research in the development of mathematical models for Electrical and Computer Engineering: Biomedical applications, such as his Mathematical Model for the Validation of the Ground Reaction Force Sensor in Human Gait Analysis, the Mathematical model to predict Transition-to-Fatigue during isometric exercise on muscles of the lower extremities, his mathematical model to be used in the Assessment and evaluation of dynamic behavior of muscles with special reference to subjects with Diabetes Mellitus (dissertation) . Besides: his natural fuzzy logic model for differential analysis in muscle/joint activation point using infer T equation for muscle/joint, Extension of the T-Fuzzy inference equation using Fuzzy Mapping for Human Gait Analysis to identify the eight-basic pathologic gait attributed to neurological conditions (Academic press book: Applied Biomechatronic Using Mathematical Models), many others. In this book introduces: Cognitive Learning models and its relationship with neuroscience of reasoning under Cognitive Learning- Reasoning (CL&R) applying Cognitive Computing (CC), and many others to be integrated at the Proposed General Architecture framework of a Cognitive Computing Agents System (AI-CCAS). Dr. Garza-Ulloa has been the recipient of numerous honors and awards including a University of Texas at El Paso Graduate School Research Award, Research Schellenberg Foundation, Stern Foundation, Elsevier grants, and others. Dr. Garza-Ulloa is currently teaching at the University of Texas at El Paso USA and continue his Biomedical Engineering research at Research Consultant Services at El Paso Texas, USA.

Table of Contents

1. Introduction to Biomechatronics/ Biomedical Engineering2. Introduction to the Human Neuromusculoskeletal Systems3. Kinematic and Kinetic Measurements of Human Body4. Experiment Design, Data Acquisition and Signal Processing5. Methods to Develop Mathematical Models6. Application of Mathematical Models in Biomechatronics7. Cases Studies of Applied Biomechatronics Solutions based on MM

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From the Publisher

Uses mathematics and engineering in human motion assistive device advances to illustrate how the skeletal and muscular system work together to allow movement