Embedded Files
Fall 2019
Fall 2019
- Research on EMG signal generation
- Research on how muscle fatigue affect EMG signals
- Initial hardware setup using Arduino UNO R3 board and 6 MyoWare Muscle Sensors.
- Experiment design
- Research which part of muscle we should monitor and decided to put 6 sensors on
Myoware Muscle Sensor
Myoware Muscle Sensor
Arduino Uno R3
Arduino Uno R3
Sensor Placement
Sensor Placement
Trapezius Descendens (upper)
Trapezius Descendens (upper)
Trapezius Ascendens (lower)
Trapezius Ascendens (lower)
Multifidus
Multifidus
(Fast Fourier Transform) FFT of EMG singal
Winter 2020
Winter 2020
- EMG data collection
- Data cleaning
- Data denoising using MATLAB®
- Data analysis using MATLAB®
- Switch to whole system to
Bicep Raw Before Exercise - First 50000 points
Full width half max: 176.5978
Maximum at 40.8256
Bicep Raw Before Exercise - Last 50000 points
Full width half max: 106.0787
Maximum at 39.6503
Bicep Raw After Exercise - First 50000 points
Full width half max: 77.0942
Maximum at 26.0739
Bicep Raw After Exercise - Last 50000 points
Full width half max: 87.3341
Maximum at 36.1269
Overall, the trend of bicep muscle is obvious.
From the relaxed data to the tired data, we can see
The shrink of bell shape (decrease of full width half max)
Left shifting of max frequency
Spring 2020
Spring 2020
- PCB design and testing
- Collect up to 30 sets of valuable data to fit data
- Draw conclusion
Altium PCB Design
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