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Applied Biomechatronics Using Mathematical Models /
"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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
Academic Press, an imprint of Elsevier,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Garza-Ulloa, Jorge, |e author. | |
| 245 | 1 | 0 | |a Applied Biomechatronics Using Mathematical Models / |c Jorge Garza-Ulloa. |
| 264 | 1 | |a London, United Kingdom : |b Academic Press, an imprint of Elsevier, |c [2018] | |
| 264 | 4 | |c �2018 | |
| 300 | |a 1 online resource | ||
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| 588 | |a Online resource; title from PDF title page (EBSCO, viewed June 21, 2018). | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "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. Focuses on the mathematical modeling of human kinematics and kineticsTeaches users how to obtain faster results with these mathematical modelsIncludes a companion website with additional content that presents MATLAB examples"-- |c Provided by publisher | ||
| 505 | 0 | |a Cover; Title page; Copyright page; Contents; Dedication; Epigrph; Thanks; About the Author; Preface; Chapter 1 -- Introduction to biomechatronics/biomedical engineering; 1.0 -- Introduction; 1.1 -- The Evolution From Basic Disciplines of Engineering to Multidisciplinary Engineering Branches; 1.2 -- Biomechatronics Implemented Using Mathematical Models; 1.3 -- Neurological Diseases; 1.4 -- Biomechatronics Solutions for Neurological Diseases; Cerebral Palsy Biomechatronics solutions; Muscular Dystrophy Biomechatronics solutions; Multiple Sclerosis Biomechatronics solutions | |
| 505 | 8 | |a Parkinson's Disorders Biomechatronics solutionsTraumatic Brain Injury Biomechatronics solutions; Brain tumors Biomechatronics solutions; Spinal Cord Injury Biomechatronics solutions; Strokes Biomechatronics solutions; Diabetes Mellitus Biomechatronics solutions; Seizure Disorders Biomechatronics solutions; Guillain-Barr�e syndrome Biomechatronics solutions; Post-Polio Syndrome Biomechatronics solutions; Medical Robots for Diagnosis and Interventions; 1.5 -- The Near Future of Biomechatronics Devices for Neurological Diseases; 1.6 -- Suggested Research for Chapter 1 | |
| 505 | 8 | |a From section 1.1 The evolution from basic disciplines of engineering to multidisciplinary engineering branchesFrom section 1.2 Biomechatronics implemented using mathematical models; From section 1.3 Neurological diseases; From section 1.4 Biomechatronics solutions for neurological diseases; From section 1.5 The near future of biomechatronics device for neurological diseases; 1.6.1 -- Answers for Suggested Research Chapter 1; References; Chapter 2 -- Introduction to human neuromusculoskeletal systems; 2.0 -- Introduction; 2.1 -- Introduction to Human Body System; 2.1.1 -- Organ and Organs System | |
| 505 | 8 | |a 2.1.2 -- Organism2.2 -- Introduction to the Musculoskeletal System; 2.2.1 -- Skeletal Subsystem; 2.2.2 -- Muscular Subsystem; 2.2.3 -- Joints Subsystem; 2.3 -- Introduction to the Nervous System; 2.3.1 -- Human Brain; 2.3.2 -- Spinal Cord; 2.3.3 -- Nerves; 2.3.3.1 -- Descending motor pathways; 2.3.3.2 -- Ascending sensory pathways; 2.3.3.3 -- Reflex arc; 2.4 -- Suggested Research for Chapter 2; 2.4.1 -- From Section 2.1 Introduction to Human Body System; 2.4.2 -- From Section 2.2 Introduction to the Musculoskeletal System; 2.4.3 -- From Section 2.3 Introduction to the Nervous System | |
| 505 | 8 | |a 2.5 -- Answers to Suggested Research for Chapter 22.5.1 -- Answers Questions Section 2.1 Introduction to Human Body System; 2.5.2 -- Answers Questions Section 2.2 Introduction to the Musculoskeletal System; 2.5.3 -- Answers Questions Section 2.3 Introduction to the Nervous System; References; Chapter 3 -- Kinematic and kinetic measurements of human body; 3.0 -- Introduction; 3.1 -- Data Acquisition; 3.1.1 -- Electromyography; 3.1.1.1 -- Filters; Butterworth filters in MATLAB; sEMG electrodes; Multichannel capabilities; 3.1.1.2 -- Raw EMG signal sampling frequency; 3.1.1.3 -- sEMG signal processing | |
| 505 | 8 | |a 3.1.1.3.1 -- Typical algorithm for sEMG signal processing | |
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| 776 | 0 | 8 | |i Print version: |a Garza-Ulloa, Jorge. |t Applied Biomechatronics Using Mathematical Models. |d London, United Kingdom : Academic Press, an imprint of Elsevier, [2018] |z 0128125942 |z 9780128125946 |w (OCoLC)1011516232 |
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