biomechanics-signal-plot

To visualize multiple EMG and forceplate signals in a grid plot, use the provided frontmatter-driven templates to structure Fx/Fy/Fz channels and EMG data into comparative grids with predefined color schemes.

Plotting CoP and CoM trajectories is achieved through provided templates that render scatter trajectories, enabling clear comparison across velocity-trial combinations with highlighted windows.

Yes, you can add TKEO onset markers to EMG signal visualizations using the provided templates, which support overlaying onset detection markers directly onto grid-plotted EMG data.

No specific dependencies are required to highlight windows in biomechanics data plots, as the visualization templates provide built-in utilities for window highlighting without external dependencies.

To compare forceplate data across velocity-trial schemes, apply the grid-based visualization templates that organize Fx, Fy, and Fz channels into structured matrices with consistent legends and window highlighting.

Yes, reusable templates for common biomechanics plotting tasks are available in templates/grid_plot_template.py, enabling rapid adoption for EMG, forceplate, and CoP/CoM trajectory visualizations.