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Innovative analyses of human movement / Nicholas Stergiou, editor.
Holman Biotech Commons Oversize QP301 .I35 2004
Available
- Format:
- Book
- Language:
- English
- Subjects (All):
- Human locomotion--Mathematical models.
- Human locomotion.
- Human locomotion--Statistical methods.
- Human mechanics--Mathematical models.
- Human mechanics.
- Human mechanics--Statistical methods.
- Movement--physiology.
- Biomechanical Phenomena.
- Mathematical Computing.
- Models, Statistical.
- Statistics.
- Medical Subjects:
- Movement--physiology.
- Biomechanical Phenomena.
- Mathematical Computing.
- Models, Statistical.
- Physical Description:
- xi, 331 pages : illustrations ; 29 cm
- Place of Publication:
- Champaign, IL : Human Kinetics, [2004]
- Summary:
- This essential text will bring you up to date on the latest and most appropriate mathematical and statistical procedures for analyzing small and large biomechanical data sets. You'll learn how to use the newest and most innovative techniques in your own research, and you'll understand how these methods apply to data analysis. If you're a student or professional who deals with measurement issues in human movement, this resource is invaluable. The text includes complete, step-by-step examples that illustrate how each technique applies to data analysis. It also presents techniques using a tutorial approach to prepare readers for real-life research studies. Many other features make this an easy-to-use tool for human movement scientists. In addition, the book uses a case study approach that will help readers quickly associate the method of interest with the appropriate application. If you're a student or professional who deals with measurement issues in human movement, this resource is a must.
- Contents:
- Part I Methods to Examine Variability in Human Movement 1
- Chapter 1 Single-Subject Analysis 3
- Expanding Experimental Design Horizons 4
- Human Movement Characteristics 5
- Issues Relative to Data Analysis and Evaluation 10
- Experimental Design 15
- Chapter 2 Considerations of Movement Variability in Biomechanics Research 29
- The Nature of Intra-Individual Movement Variability 29
- Variability and Biological Health 32
- Methodological Considerations of Movement Variability 37
- Traditional Methods for Quantifying Variability 45
- Chapter 3 Nonlinear Tools in Human Movement 63
- Time Series 65
- State Space 66
- Lyapunov Exponent 69
- Surrogation 72
- Correlation Dimension 73
- Approximate Entropy 76
- Other Available Software and Algorithms 85
- Part II Methods to Examine Coordination and Stability in Human Movement 91
- Chapter 4 Applied Dynamic Systems Theory for the Analysis of Movement 93
- Phase Portraits and Phase Angles 97
- Relative Phase 99
- Point Estimate Relative Phase 104
- Discrete Relative Phase 105
- Complete Examples for the Application of Dynamic Systems Theory Tools 106
- Chapter 5 Directional Statistics 121
- Why Are Directional Statistics Needed? 121
- Representation of Circular and Axial Data 123
- Descriptive Statistics 126
- Second-Order Analysis 129
- Tests of Uniformity 130
- One-Sample Comparisons 135
- Comparisons of Two or More Samples 137
- Hypothesis Testing for Second-Order Analysis 141
- Paired-Sample Tests 145
- Correlations 147
- Chapter 6 Mathematical Measures of Coordination and Variability in Gait Patterns 163
- Response Surface Methodology 164
- Variability 175
- Part III Advanced Methods for Data Analysis in Human Movement 187
- Chapter 7 Time Series Analysis: The Cross-Correlation Function 189
- Time Series Analyses 189
- Defining the Cross-Correlation Function 191
- Pearson Product-Moment Correlations 194
- Fisher Z-Transformations 196
- Other Measures of Similarity 197
- Correlograms 198
- Autocorrelograms 200
- Cross-Correlation As a Method for Estimating Spectral Content 200
- Matched Filters 203
- Chapter 8 Principles and Applications of Bootstrapping Statistical Analysis 207
- Bootstrap Samples and Bootstrap Sampling Distributions 209
- How Bootstrapping Works 210
- Practical Issues of Bootstrapping Applications 213
- Advantages and Limitations of Bootstrapping 215
- Chapter 9 Power Spectrum Analysis and Filtering 223
- Time and Frequency Domain Representations: A Simple Signal 225
- Frequency Domain Transform and the Discrete Fourier Transform 226
- Data Sampling 235
- Biomechanical Data Filtering 238
- The Differentiation Process 243
- Joint Time-Frequency Domain Representations 244
- The Wigner Function 250.
- Notes:
- "Analytical tools for human movement research"--Cover.
- Includes bibliographical references and index.
- ISBN:
- 0736044671
- OCLC:
- 51763943
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