Applied Biomechatronics Using Mathematical Models / Jorge Garza-Ulloa.
"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...
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| Format: | eBook |
| Language: | English |
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London, United Kingdom :
Academic Press, an imprint of Elsevier,
[2018]
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Table of Contents:
- 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.
- 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-Barré 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.
- 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.
- 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.
- 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.
- 3.1.1.3.1
- Typical algorithm for sEMG signal processing.