Introduction of EMG Sensor
EMG sensor measured muscle response or electrical activity in response to a nerve's stimulation of the muscle. Furthermore, it can measure the electrical activity of muscles during rest, slight contraction, and strong contraction. This EMG sensor can help detect neuromuscular abnormalities.
How is related to as Biomedical Engineering concept
When the muscle is activated, the length of muscle decrease; the muscles, skin, and electrodes move relative to each other. The EMG electrodes receive signals from the action potentials and the electrical activity of muscle. It displays on the oscilloscope which as known as monitors displaying electrical activity in the form of waves.
Schematic Design of 3D structure
Figure 1: This portrays 3D structure of the toy as pictorial view.
Figure 2: This shows 3D structure of the toy as orthogonal projection view.
Schematic Design of Circuit
Figure 3: This describes the schematic circuit design.
Figure 4: This displays the circuit design as three dimensional view without inserting sensor by utilizing TinkerCAD.
Actual 3D Structure
Figure 5: This represents the actual 3D structure. Since it represents as the human arm, the materials cannot be met satisfied to the 3D structure. Therefore, I decided to create the other materials based on the orthogonal projection.
Figure 6: This represents the actual 3D structure with Arduino circuit and electronic housing.
Actual Arduino Circuit
Figure 7: This portrays the actual Arduino circuit by inserting all components.
Video 8: This displays how the EMG sensor is operated to LCD display.
Figure 9: This describes the sensor value and voltages. Sensor value represents the number of activated muscles when it is contracting, while the voltage represents the amplitude when it reaches higher sensor value. Typically, the sensor value is proportional with voltage; when sensor value is increasing, it can reach the higher voltage.
Actual Arduino Code
Figure 10: This represents the actual Arduino Code based on the actual circuit by utilizing the EMG sensor.
Reference of Project
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Email: hyejin.lee.1@stonybrook.edu