CSI guest lecture

recovery framework of CSI

• recovery in all tis forms is a critical issue and should be addressed collaboratively by a number of disciplines

  • physiology

  • S&C

  • psych

  • biomech

  • sports med

  • nutrition

Physiology suport network

• The AUS physiology support network paired with CSI to determine changes to enhance performance

  • There are many factors including both competencies and skills

Measurement and quality assurance

• Best practice for continuous improvement

• Understand and control sources of error

• Apply principles of validity, accuracy, reliability sensitivity

• Develop, modify and use testing and monitoring protocols

• Assesses meaningful change

• Equipment error, calibration and troubleshooting

• Critical appraisal of new technologies, wearables etc.

internal consistency

• SOP

• Good communication

• Work with data solutions

• Approved training procedures

Examples of data processing

Standardized data processing - PARVO metabolic heart

• Can specify type of test (ie. Cycle vs tread), resting data timing, intensity increments, protocol, speed intervals

  • Consistent across all campuses and staff

Inter-device reliability

• Programming information between the same equipment

testing at altitude

• Use of chamber to increase O2 but not alter barometric pressure in order to simulate sea lvl

• Issues with calibration of metabolic carts through the chamber