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
      • The pre-configured pyCGM2 pipeline
      • Commmand-lines
        • CGM
        • Events
        • Gaps filling
        • Gait Plots
        • EMG
      • Input argument references
    • 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
  • Blog
    • Kalman gap filling theory
  • 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

Learn python

Switch from matlab

check out the video below to have an introduction on Python and its scientific environment.

Then, read the official Numpy documentation. .

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pyCGM2 : python Conventional Gait Model
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