Biomechanics Signal Plot Skill

Professional guidelines for biomechanics signal data visualization

Overview

This Skill provides guidelines and code templates for visualizing signal data used in biomechanics research.

Supported Data Types:

• •EMG Signals: TKEO pipeline, onset detection markers
• •Forceplate Signals: Fx, Fy, Fz channel visualization
• •CoP/CoM Trajectories: X-Y coordinate trajectory visualization, window color coding

When to Use

• •Visualizing EMG signal analysis results
• •Visualizing Forceplate data
• •Visualizing CoP (Center of Pressure) or CoM (Center of Mass) trajectories
• •Creating velocity-trial combination grid plots
• •Displaying onset timing markers
• •Highlighting analysis windows

File Structure

Core Principles

1. Grid Plot Default Behavior

• •All visualizations are generated as grid plots by default
• •Number of columns = ceil(sqrt(number of plots))
• •Empty subplots are hidden
• •Each subplot includes individual title and legend

2. Velocity-Trial Sorting

Data is sorted by velocity-trial combination and arranged in grid:

10-1, 10-2, 10-3
15-1, 15-2, 15-3
20-1, 20-2, 20-3

3. Quality Settings

• •DPI: 300 (publication quality)
• •Korean font setup required

Guide File References

EMG Visualization

Refer to emg-plot-guide.md for EMG signal visualization:

• •TKEO pipeline visualization
• •Onset timing markers (vertical dashed lines)
• •Window highlights (p1, p2, p3, p4)

Forceplate Visualization

Refer to forceplate-guide.md for Forceplate signal visualization:

• •Fx, Fy, Fz channel visualization
• •Onset timing markers
• •Channel-specific color settings

Trajectory Visualization

Refer to trajectory-guide.md for CoP/CoM trajectory visualization:

• •X vs Y scatter plot
• •Y-axis flip (anterior-positive)
• •Window-based color coding
• •Maximum value markers (star markers)

Using Code Templates

Import basic grid plot generation functions from templates/grid_plot_template.py:

from templates.grid_plot_template import (
    calculate_grid_dimensions,
    setup_korean_font,
    create_grid_figure,
    save_figure
)

# Calculate grid dimensions
rows, cols = calculate_grid_dimensions(n_plots)

# Setup Korean font
setup_korean_font()

# Create figure
fig, axes = create_grid_figure(rows, cols, figsize=(16, 12))

# Save (DPI 300)
save_figure(fig, output_path)

Common Color Settings

Window Colors

Marker Styles