Measuring Muscle Biopotential Signals Using EMG Sensors During Exercise
Copyright Taken during classroom testing
Students explore neuroscience concepts to understand muscle performance during exercise, focusing on motor units, muscle fibers, adenosine triphosphate (ATP), and fatigue. They create diagrams to compare large and small motor units and learn basic coding through a beating heart activity. Using the engineering design process, students design and build prototypes to record biopotential signals using EMG sensors during selected arm exercises. They test their prototypes, gather feedback, and refine their designs to improve signal recording and data accuracy. Finally, students analyze their data to identify signs of muscle fatigue and present real-world connections to fitness and health.
Biomedical engineers apply engineering principles and design concepts to medicine and biology to improve healthcare and quality of life for people. They design medical devices and equipment such as prosthetics, pacemakers, artificial organs, diagnostic machines, and surgical tools. They also develop software and technologies used for medical diagnostics, simulations, health monitoring, and patient care. Biomedical engineers often work with medical imaging and signal processing, analyzing biological signals such as electromyography (EMG), electrocardiogram (ECG), or electroencephalogram (EEG) to help diagnose or monitor health conditions. In addition, they innovate in areas such as tissue engineering and biomaterials, creating materials and structures that can safely interact with the human body.
After this activity, students should be able to:
- Identify and describe neuron parts and their functions.
- Describe small and large motor units and discuss the direct link between more motor unit recruitment and strength.
- Describe peripheral and central fatigue.
- Understand the role of cellular respiration in ATP creation and anaerobic fermentation leading to accumulation of lactic acid (fatigue).
- Draw conclusions from their data about muscle fatigue, fitness, and well-being.