Neuromechanical Signal Collection and Processing
Focus will be given to processing and interpretation of neuromechanical data, with an emphasis on electgromyography and ground reaction force data.
EXSC
663
 Hours2.0 Credit, 1.0 Lecture, 2.0 Lab
 PrerequisitesNone
 RecommendedExSc 362 or equivalent.
 TaughtSpring
Course Outcomes: 


Neuromechanical Data

Demonstrate an understanding of general concepts related to collection and analysis of biomechanical data. These concepts include:

  1. Analog to digital conversion
  2. Selection of an appropriate sampling rate
  3. Analysis of signal frequency
  4. Recognition and treatment of signal noise using a digital filter
  5. Other signal processing techniques and issues

Electromyography

Understand when and how to use electromyography in order to better understand involved muscular activity during human motion

Loads

Use force platforms and load cells in order to measure external loads that are applied to the human body during human motion