This module introduces the basic concepts of accelerometers, gyroscopes, and communication via the I²C protocol. Using an Arduino board and an MPU6050 accelerometer, participants will learn how to acquire, visualize, and interpret motion data.
The activity simulates the operation of biomedical systems used in the monitoring of involuntary movements, such as those used in the detection and tracking of tremors associated with neurological diseases, such as Parkinson's disease. To do this, an accelerometer is attached to the back of the hand to record micromovements and identify tremor patterns from the data obtained.
Duration: 90–120 minutes
Documents to download:
- Teaching guide.
- Rubric.
- Working document.
Materials and resources needed:
- Arduino boards.
- USB cables.
- Protoboard.
- MPU6050 accelerometers.
- DuPont jumper cables.
- External battery.
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