Sports Biomechanics: Theories, Examples, and Data Analysis provides mechanical theories, data-based examples, and step-by-step analyses in MATLAB, giving a comprehensive understanding of the process of performing biomechanical analysis in sports. The book connects theories with principles of data collection and offers specific data analysis techniques. It addresses gaps among theories, raw data from various collection methods, different calculations to process raw data in MATLAB, and the extraction of variables of interest to quantify sports performance and injury risk. Sample raw data, videos, figures, and MATLAB scripts are provided, along with theories to calculate key parameters in different sporting events and movements.
Readers are encouraged to replicate the data collection and data analyses listed in the book and translate the knowledge and skills to a different setting. While this book covers the data analyses in MATLAB, programming skills can be related to other software with similar language environments to help readers ask questions and understand different parameters when using software performing automatic data processing.
1. Chapter 2. Introduction to MATLAB and Python - p. 21 2. Chapter 3. Signal processing and electromyography data analyses - p. 41 3. Chapter 4. 2D kinematics theories - p. 61 4. Chapter 5. 2D kinematics example and data analyses - p. 93 5. Chapter 6. 2D kinetics theories - p. 111 6. Chapter 7. 2D kinetics example and data analysis - p. 149 7. Chapter 8. 3D kinematics theories - p. 171 8. Chapter 9. 3D kinematics example and data analysis - p. 207 9. Chapter 10. 3D kinetics theories - p. 217 10. Chapter 11. 3D kinetics example and data analysis - p. 231 11. Chapter 12. Other technologies and applications - p. 249 12. Index - p. 263
Sports Biomechanics: Theories, Examples, and Data Analysis provides mechanical theories, data-based examples, and step-by-step analyses in MATLAB, giving a comprehensive understanding of the process of performing biomechanical analysis in sports. The book connects theories with principles of data collection and offers specific data analysis techniques. It addresses gaps among theories, raw data from various collection methods, different calculations to process raw data in MATLAB, and the extraction of variables of interest to quantify sports performance and injury risk. Sample raw data, videos, figures, and MATLAB scripts are provided, along with theories to calculate key parameters in different sporting events and movements.
Readers are encouraged to replicate the data collection and data analyses listed in the book and translate the knowledge and skills to a different setting. While this book covers the data analyses in MATLAB, programming skills can be related to other software with similar language environments to help readers ask questions and understand different parameters when using software performing automatic data processing.
1. Chapter 2. Introduction to MATLAB and Python - p. 21 2. Chapter 3. Signal processing and electromyography data analyses - p. 41 3. Chapter 4. 2D kinematics theories - p. 61 4. Chapter 5. 2D kinematics example and data analyses - p. 93 5. Chapter 6. 2D kinetics theories - p. 111 6. Chapter 7. 2D kinetics example and data analysis - p. 149 7. Chapter 8. 3D kinematics theories - p. 171 8. Chapter 9. 3D kinematics example and data analysis - p. 207 9. Chapter 10. 3D kinetics theories - p. 217 10. Chapter 11. 3D kinetics example and data analysis - p. 231 11. Chapter 12. Other technologies and applications - p. 249 12. Index - p. 263
