pyCGM2 : python Conventional Gait Model
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  • Background
    • History and Nomenclature
    • Definitions
      • Kinematic chain
      • Segments
      • Marker placement
      • Model outputs
      • Variants
    • Strengths
    • Weaknesses
    • Updating the CGM
      • Design criteria
      • Issues to be addressed
  • CGM #i
    • CGM1.0
    • CGM 1.1
    • CGM 2.1
    • CGM 2.2
    • CGM 2.3
    • CGM 2.4
    • CGM 2.5
    • CGM 2.6
  • Installation
    • Set-up python
    • Install pyCGM2
    • Known issues
  • Vicon and QTM Commands
    • Nexus Commands
      • CGM
      • Events
      • Gaps filling
      • Gait Plots
      • EMG
      • Input argument reference
    • QTM
  • Work with the API
    • Gait applications
      • Application of a conventional Gait model
      • Process your gait data
      • Detect gait events
      • Work with emg
  • Resources
    • Palpation
    • Clinical Gait analysis courses
    • Programming
      • Btk
      • Learn python
  • Frequently asked Questions
    • How to cite pyCGM2
    • How to find my conda path
    • Integrate a pyCGM2 command as a nexus pipeline operation
    • Change default CGM settings temporarly or permanantly
    • Modify the default EMG configuration
  • Blog
    • Kalman gap filling theory

Work with the API

The next sections are dedicated to show how an analyst can use the pyCGM2 API based on explicit scenarii.

Proposed code can be copy/paste into your favorite python IDE then run on your PC.

The advanced analyst willing to deep into the API, can consult the documentation API website

If you run into any issue, please contact us

QTM Gait applications
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pyCGM2 : python Conventional Gait Model
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