Simultaneous Control of Multiple Degrees of Freedom in Upper-Limb Prosthesis

By Michael Bornstein
Slide 1: Title slide for simultaneous control of multiple degrees of freedom in upper-limb prosthesis presentation

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Simultaneous Control of Multiple Degrees of Freedom in Upper-Limb Prosthesis

Presented by Michael Bornstein & Dr. Engeberg

Slide 2: About Michael Bornstein background information

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Michael Bornstein

  • Attending FAU
  • Senior in Mechanical Engineering
  • Participating in a REU hosted by I-SENSE
Slide 3: Current prosthesis limitations showing expensive and not intuitive design

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Current Prosthesis

  • Expensive
  • Not intuitive
Slide 4: Multitasking problem with current prosthesis control limitations

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Multitasking

Current prosthesis can only control a single degree of freedom at a time.

Slide 5: Electromyogram (EMG) explanation and technical details

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Electromyogram (EMG)

  • Detects and quantifies muscle activation
  • Most dual-site EMG use two preamplifier
Slide 6: SWAGS Controller description and technical specifications

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Simultaneous Wrist Angle-Grasp Synergy (SWAGS) Controller

  • Uses the sum and difference of the two electrodes
  • Wider range of inputs
  • Direct control- two analog inputs from 0 to +
  • SWAGS- one analog input from - to + and one analog input from 0 to +
Slide 7: EMG Training methodology and challenges

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EMG Training

  • New to EMG Poor performance
  • Difficult to assess SWAGS if user has no prior EMG experience
  • Short training set of eight, 66 second trials to familiarize users

Graph labeled Wrist Angle Tracking and Grasping Force

Slide 8: Error metrics definition and measurement criteria

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Error Metrics

How I define how well an individual performs

Left: Mean absolute error (smaller is better) with graph showing desired waveform and input difference

Right: % Power at desired frequency (larger at 0.2 Hz is better) with graph showing % power and frequency (Hz)

Slide 9: Frequency spectrum importance analysis comparing inputs

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Frequency Spectrum Importance

Left: graph showing desired waveform, user input 1 and user input 2

Right: bar graph showing Mean absolute error for user input 1 and 2; total power at 0.2 Hz

The 2nd input has less mean absolute error than the 1st input, but is unusable as a control signal.

Slide 10: Training results showing data from 8 IRB reviewed individuals

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Training Results

  • 8 IRB reviewed individuals
  • Trials 1-3 only involve wrist tracking
  • Trials 4-8 involve wrist tracking and grasping force

Left: Bar graph labeled Average Absolute Error; (smaller is better)

Right: Bar graph labeled % Total Power Found at 0.2 Hz; (larger is better)

Slide 11: Training results showing improvement in user ability to hold objects

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Training Results

Bar chart labeled Force Threshold FAilures (total and mean)

Training greatly improves user's ability to hold an object without dropping it.

Slide 12: Post-training prosthetic use demonstration

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Post-Training Prosthetic Use

Image of prosthetic hand in lab setting

Slide 13: Conclusion summarizing SWAGS potential and training importance

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Conclusion

  • SWAGS has the potential to be a computationally inexpensive EMG control scheme that allows simultaneous control of 2 degrees of freedom.
  • Most people will not be able to use EMG effectively without any prior training.
  • A short training regimen greatly improves user ability.
Slide 14: Future work including neural network and haptic feedback development

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Future Work

  • Completion of artificial neural network to determine direction of slip
  • Completion of haptic feedback mechanism to alert user of slip
Slide 15: Future work including neural network and haptic feedback development

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Questions?

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For a downloadable version of this presentation, email: I-SENSE@FAU.

Additional Information
The Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) was established in early 2015 to coordinate university-wide activities in the Sensing and Smart Systems pillar of FAU’s Strategic Plan for the Race to Excellence.
Address
Florida Atlantic University
777 Glades Road
Boca Raton, FL 33431
i-sense@fau.edu