Marcos Duarte and Renato Watanabe
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control.
These notes (notebooks) are written using Jupyter Notebook, part of the Python ecosystem for scientific computing.
- Python for scientific computing
- Python tutorial
- Version control with Git and GitHub
- Code structure for data analysis
- Scalar and vector
- Basic trigonometry
- Matrix
- Descriptive statistics
- Confidence and prediction intervals
- Curve fitting
- Propagation of uncertainty
- Frequency analysis
- Data filtering in signal processing
- Ordinary Differential Equation
- Optimization
- Change detection
- Time normalization of data
- Ensemble average
- Open files in C3D format
- Kinematics
- Kinetics
- Body segment parameters
- Muscle modeling
- Muscle simulation
- Musculoskeletal modeling and simulation
- Multibody dynamics of simple biomechanical models
- The inverted pendulum model of the human standing posture
- Measurements in stabilography
- Rambling and Trembling decomposition of the COP
- Biomechanical analysis of vertical jumps
- Gait analysis (2D)
- Force plates
Here is a suggestion to cite this GitHub repository:
Duarte, M., Watanabe, R.N. (2018) Notes on Scientific Computing for Biomechanics and Motor Control. GitHub repository, https://github.com/BMClab/BMC.
And a possible BibTeX entry:
@misc{Duarte2018,
author = {Duarte, M. and Watanabe, R.N.},
title = {Notes on Scientific Computing for Biomechanics and Motor Control},
year = {2018},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/BMClab/BMC}}
}The non-software content of this project is licensed under a Creative Commons Attribution 4.0 International License, and the software code is licensed under the MIT license.