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Acoustic EMG System

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Title: Acoustic EMG System


1
Acoustic / EMG System
  • for the Analysis of
  • Food Texture
  • 2005 AGCO National Student Design Competition
  • By Brent Jessop
  • Krista Sider
  • Tom Lee
  • Advisor Dr. G. Mittal

2
Design Inspiration
  • Co-op Job
  • Hotdog Texture
  • Texture Profile Analysis (TPA)
  • Human Perception of Food?
  • Human Testing
  • Unbiased?
  • Provide an Alternative Method

3
Constraints
  • Measure the Human Perception of Food Texture
  • Human Testing Approval
  • Subject Safety

4
Criteria
  • Physical Interference with Mastication
  • Subject Awareness of Mastication
  • Quality of Measurement of the Human Perception of
    Food Texture
  • Cost
  • Environmental Impact
  • Complexity of Use

5
Design Alternatives
  • Three Design Alternatives
  • Pressure Sensors Mounted within a Modified
    Retainer
  • Video Tracer System
  • Acoustic / EMG System

6
Acoustic / EMG System
  • Electromyographic (EMG) Analysis
  • Electrodes pick up nerve impulses signalling the
    motor units of muscles
  • Measures strength of muscle contractions
  • EMG data used to characterize food texture
  • Acoustic Analysis
  • Frequencies of sound correlated to certain food
    texture
  • Textural differences can be analyzed

7
Acoustic / EMG System
EMG electrodes
Sound Dampening Headset
Ear clip and Microphone
8
Acoustic / EMG System
  • Why it is Better?
  • Interference with Mastication
  • Subject Awareness of Mastication
  • Quality of Measurements
  • Relative Simplicity of Use

9
System Testing
  • Cheese-Celery-Carrot Sticks
  • Pringles-Sun Chips
  • Gummy Bears-Nibs

10
Results
EMG
Acoustic
11
Results
Maximum Signal
Total Accumulated Signal

Normalized Signal (Vs/Vmax )
Vmax per subject
12
Results
  • Average EMG Maximum Signal

n4
13
Results
  • Average Acoustic Maximum Signal

n4
14
Results
  • Average EMG Total Accumulative Power

n4
15
Results
  • Average Acoustic Total Accumulative Power

n4
16
Results
  • Similar Trends Between Subjects

17
Recommendations
  • Further Data Analysis
  • Number of Chews
  • Chewing Rate
  • Bite Decay
  • Fast Fourier Transforms

18
Recommendations
  • Improve Headset Comfort
  • Larger Population
  • Sensitivity Analysis
  • Correlate to Traditional Methods
  • Acoustic System Only

19
Conclusion
  • Distinguish Between Food Texture
  • Repeatable, Quantitative and Unbiased Measurement
  • Represents the Human Perception of Food Texture
    during Mastication

20
Acknowledgements
  • Special Thanks to
  • Dr. G. Mittal for his Guidance and Support
  • School of Engineering at the University of Guelph
  • Dr. Oliver, Dr. Davidson, Greg Northy, Dr. Zhao,
    Allan Miller and Bill Verspagen

21
Questions
22
(No Transcript)
23
Acoustic / EMG System
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