Biofeedback System for Improved Athletic Training
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Transcript of Biofeedback System for Improved Athletic Training
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Biofeedback System for Improved Athletic Training
ECE-498Matt Statton
Advisor: Professor Hanson
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Goals of athletic training◦ Muscle hypertrophy through stimulation
Muscle fatigue during a specified repetition range Maximum motor unit recruitment inducing muscle
hypertrophy Benefits of effective training
◦ Increased results◦ Injury prevention
Many people do not know how to properly fatigue their muscles◦ Personal trainers
Introduction
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How it works◦ Raises awareness of unconscious physiological
activities◦ Control◦ Adjustment
Uses◦ Anxiety and stress◦ Hypertension◦ ADHD
Biofeedback
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Electrical signals produced by muscles can be used as an indicator of muscle fatigue
Giving users the ability to recognize their level of muscle fatigue will lead to improved athletic training◦ Maximizing muscle fatigue◦ Decreasing injury
Project Proposal
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Measure electrical signals from muscles
Analyze signal to determine level of muscle fatigue
Determine threshold at which muscle fatigue occurs
Provide feedback response to user
Design Requirements
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Measure electrical signals from muscles◦ Electromyography
Intramuscular vs. surface electromyography Cost effectiveness Measurement accuracy
Design Requirements
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Electromyography
Figure 1: Electromyogram from http://www.dataq.com/images/article_images/emg1.jpg
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Measure electrical signals from muscles◦ Electromyography
Analyze signal to determine level of muscle fatigue◦ Analog-to-digital conversion◦ Measure absolute and relative maximum
amplitudes of signal Determine threshold at which muscle
fatigue occurs Provide feedback response to user
Design Requirements
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Electromyograph Important components
◦ MAX666CPA Voltage Regulator
◦ LT1494 operational amplifier, A = 1 Provides virtual ground at
Vcc/2◦ INA106 differential
amplifier, A = 10 High common-mode
rejection ratio
Figure 2: Electromyograph circuit based on circuit diagram from http://instruct1.cit.cornell.edu/courses/ee476/FinalProjects/s2005/bsm24_ajg47/website/website/index.htm
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LPKF ProtoMat C20S Circuit Board Plotter
Circuit Creation
Figure 3: LPKF Circuit Board Plotter from http://www.lpkf.com/_images/757-lpkf-protomat-h100.jpg
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EagleCAD
Figure 4: EagleCAD schematic of electromyograph circuit
Figure 5: EagleCAD board file created from schematic
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CircuitCam / BoardMaster
Figure 6: CircuitCam circuit board diagram Figure 7: BoardMaster circuit board diagram
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Printed Circuit
Figure 8: Front of printed circuit board Figure 9: Back of printed circuit board
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Analyze signal to determine level of muscle fatigue
Determine threshold at which muscle fatigue occurs
Provide feedback response to user
Design Requirements
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Silicon Labs C8051F020 microcontroller◦ On-board analog-to-digital converter
ADC0 = 12-bit ADC1 = 8-bit
◦ Programmable in C
Electromyograph Signal Analysis
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Electromyograph Signal Analysis
Figure 10: Flow chart of electromyograph signal analysis program
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Electromyography
Figure 11: Contraction and relaxation of muscles of the upper arm from http://www.zoodu.com/uploads/images/2006-08-10/vlt9QAl2A5.jpg
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Results
-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 12.46
2.465
2.47
2.475
2.48
2.485
2.49
2.495
2.5
2.505
Vol
tage
(V)
Time (s)
Electromyogram of Relaxed Muscle
-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 12.3
2.35
2.4
2.45
2.5
2.55
2.6
2.65
2.7Electromyogram of Fully Contracted Muscle
Time (s)V
olta
ge (V
)
Figure 12: Electromyogram of relaxed biceps muscle (Range = 30 mV)
Figure 13: Electromyogram of fully contracted and relaxed biceps muscle (Range = 250 mV)
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Results
-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 12.35
2.4
2.45
2.5
2.55
2.6
Time (s)
Vol
tage
(V)
Electromyogram of Slightly Contracted Muscle
-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 12.3
2.35
2.4
2.45
2.5
2.55
2.6
2.65
Time (s)V
olta
ge (V
)
Electromyogram of Fully Contracted and Slightly Contracted Muscle
Figure 14: Electromyogram of slightly contracted and relaxed biceps muscle (Range = 130 mV)
Figure 15: Electromyogram of fully contracted, slightly contracted, and relaxed biceps muscle
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Signal processing More sophisticated user interface
◦ LCD screen◦ Buttons◦ Threshold calibration◦ Low battery indicator
Electrode leadwire connectors◦ FDA regulations
Continuing Work
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The 8051 microcontroller is not yet accurately measuring absolute and relative maximum amplitudes of the signal
Electrical signals were successfully measured using surface electromyography
Continuing work will be done to successfully analyze the signal and provide users a feedback response based on muscle fatigue
Conclusions
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Professor Hanson
Professor Hedrick
Ben Bunes
Acknowledgements
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Association for Applied Psychophysiology and Biofeedback. 4 June 2008 <http://www.aapb.org/i4a/pages/index.cfm?pageid=1>.
Gariety, Arthur and Madoff, Benjamin. ECE 476 Final Project: Wireless Electromyograph. 13 November 2008 <http://instruct1.cit.cornell.edu/Courses/ee476/FinalProjects/s2005/bsm24_ajg47/website/website/index.html>.
U.S. National Library of Medicine, National Institutes of Health. Electromyography. 4 June 2008 <http://www.nlm.nih.gov/medlineplus/ency/article/003929.htm>.
http://www.dataq.com/images/article_images/emg1.jpg
http://www.lpkf.com/_images/757-lpkf-protomat-h100.jpg
http://www.winning.co.za/images/exImage6.jpg
http://www.zoodu.com/uploads/images/2006-08-10/vlt9QAl2A5.jpg
Bibliography
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Questions?