by Daniel Crumback
Includes all course content in digital format
Add to CartA brief introduction to exercise physiology and metabolic analysis including the Resting Metabolic Test and Active Test. Includes an overview of the metrics, data analysis, zoning, how to identify system specific limitation and how the test results can be used to prescribe limitation and goal specific nutrition and exercise programs. This course serves as an introduction to the in-depth PNOĒ Metabolic Analysis Certification Program available through Inspire360. CECs granted by NASM and AFAA for successful course completion.
Lesson 1
1. Describe metabolism
2. Discuss the three main physiological systems involved in exercise and how these systems interact to influence human function and performance
3. Introduce energy systems, fuel sources and ATP production at different exercise intensities
4. Introduce concept of central governor model
5. Discuss the potential cause(s) of muscle fatigue
6. Introduce concept of central governor model
7. Introduce how centrally and peripherally mediated processes limit performance
8. Effects of hyperventilation and other respiratory limitations affect performance
9. Discuss how metabolic analysis can measure each system and thereby accurately identify which system(s) are limiting function and performance
Lesson 2
1. Introduces metabolic testing including the Resting Metabolic Rate (RMR) and Active Tests
2. Introduce the metrics provided through RMR metabolic testing
3. Introduce how the results of an RMR can identify limitation(s) and drive effective nutrition and exercise programming
4. Introduce the metrics provided through Active metabolic testing
5. Introduce how the results of an active metabolic test can identify system specific limitation(s) and thereby drive effective nutrition and exercise programming
6. How active metabolic testing can accurately identify fuel sources and intensity zones
7. Introduce how metabolic analysis results can be used to prescribe limitation and goal specific nutrition and exercise programs
Lesson 1 - Introduction to System Specific Limitations | Module | ||
Lesson 2 - Introduction to Metabolic Analysis, Testing and Training | Module | ||
Metabolic Analysis Certification Program | Module |
MSc.RS, BSc.PT, Dip Sport PT, RISPT, CSEP-CEP/HPS, CSCS
Daniel Crumback is an internationally respected leader and expert in physiological testing, data analysis and exercise program design with over 30 years of experience working with medical, general, and athletic populations. He is a Clinical Exercise Physiologist, High Performance Specialist, Strength and Conditioning Specialist and Sport Physiotherapist, which gives Daniel a unique perspective on testing and training.
After a highly successful 29-year career in the Canadian Armed Forces, Daniel was recruited to China as the Director of Rehabilitation and Performance where he taught exercise physiology, physiotherapy and performance coaching throughout China as well as working with Provincial, National, and Olympic athletes in a variety of sports.
Daniel is a recognised leader in physiological testing and training program design consulting with multiple companies. As the Head of Science and Education for PNOĒ, he has helped develop algorithms to analyse metabolic data, exercise programming for cardiovascular, respiratory, and metabolic limitations and created the Metabolic Analysis Certificate Program to educate medical, healthcare and trainers on metabolic testing and program design. Daniel is an expert in identifying and eliminating respiratory limitations by integrating his knowledge in metabolic analysis, spirometry, movement, and respiratory training using devices such as the Idiag P-100 respiratory training device - the best method to minimize or eliminate respiratory limitations to function and performance. He also consults for Moxy, a Near Infrared Spectroscopy device, used to assess oxygen delivery and utilisation during exercise. Daniel is currently the Sport and Wellbeing Coordinator at the University of Chichester.
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Strategic Sport Performance
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