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IE 5331-21: Experimental Methods in Biomechanics and Work Physiology


IE 5331-21 Experimental Methods in Biomechanics and Work Physiology

Spring 2020


Instructor: Suman K. Chowdhury, Ph.D., Assistant Professor

Office: IMSE 216

Phone: 806 834 7908



Target Audience:

Aligning technology with human needs and capabilities is a grand challenge in the work-and product-design process.  Especially knowledge on measurement techniques of the human neuromusculoskeletal function is essential to tackle this grand challenge to order to enhance human performance and well-being at home, at play, on the highway, and at work.  Therefore, this course is designed to train students to have an increased understanding of the experimental methods (both techniques and technologies) used in neuromuscular health biomechanics and work physiology, and experience at implementing these methods.


MS and PhD graduate students who would like to pursue a career in the areas of healthcare engineering, musculoskeletal rehabilitation, human-machine interaction, biomanufacturing, bioengineering, human factors engineering, ergonomics, and healthcare systems engineering are encouraged to register for this course.  


Course Topics:

Theoretical Topics: Musculoskeletal systems; functional capacity; motor control; fatigue assessment; kinematics; kinetics; inverse dynamics; forward dynamics; and musculoskeletal modeling (OpenSim)

Experimental Methods: Motion capture system, strength measurement, force measurement, electromyography, electroencephalogram, and research methods.

The learning objectives:

1. To become acquainted with the basics of musculoskeletal health structure and function

2. To be able to utilize systematic data collection and problem-solving for biomechanical analysis of human performance

3. To be able to integrate kinematics, muscle mechanics, and motor function into the simulation of human performance.

4. To be able to explain and discuss neuromuscular and psychophysical fatigue.

5. To be able to develop a research protocol in order to study real-world applications.

Prerequisites: Background in statics (e.g., ME 2301 or similar classes), linear algebra (e.g., MATH 2360, or similar classes), and MATLAB are required. Background in statistics (e.g., STAT 5302, IE 5342, or similar classes), human anatomy and physiology, and human factors and ergonomics will be helpful. Please contact the instructor if you have any questions regarding the eligibility to register for this class.


Suman Chowdhury


Industrial Engineering