Project Overview

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Project Overview

• Our product
• Rehabilitation device ? Recumbent stationary
  bicycle
• Electromyography of quadriceps muscles ?
  Feedback
• User-friendly interface ? Autonomous recovery
• Our customers
• Post-ACL repair patients
• ? Phase II and III of rehabilitation
• ? Assist in at-home exercises

Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Clinical Relevance
1) EMG signals differ between patellofemoral pain
syndrome patients and control Cowan SM, et al.
Arch Phys Med Rehabil. (2001) 82183-189. 2)
Literature on EMG acquisition on bicycles
Garrett WE, Kirkendall DT. Exercise and Sport
Science. Lippincott Williams Wilkins.
(2000) 3) Quadricep EMG signals differ between
ACL patients and control when cycling Hunt MA, et
al. Clinical Biomechanics. (2003) 18 393-400.
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Clinical Relevance
1) EMG signals differ between patellofemoral pain
syndrome patients and control Cowan SM, et al.
Arch Phys Med Rehabil. (2001) 82183-189. 2)
Literature on EMG acquisition on bicycles
Garrett WE, Kirkendall DT. Exercise and Sport
Science. Lippincott Williams Wilkins.
(2000) 3) Quadricep EMG signals differ between
ACL patients and control when cycling Hunt MA, et
al. Clinical Biomechanics. (2003) 18 393-400.
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Clinical Relevance
1) EMG signals differ between patellofemoral pain
syndrome patients and control Cowan SM, et al.
Arch Phys Med Rehabil. (2001) 82183-189. 2)
Literature on EMG acquisition on bicycles
Garrett WE, Kirkendall DT. Exercise and Sport
Science. Lippincott Williams Wilkins.
(2000) 3) Quadricep EMG signals differ between
ACL patients and control when cycling Hunt MA, et
al. Clinical Biomechanics. (2003) 18 393-400.
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Design Goals

• Signal Acquisition
• Collect EMG data while cycling
• Correlate crank angle with EMG signal
• Signal Processing
• Filtering noise
• Algorithms to analyze signal
• Developing user-friendly interface
• Testing
• Protocol optimization
• Proof of concept

Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Components and Setup
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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EMG Electrode Placement
Electrode placement on the quadriceps muscles
Cowan SM, et al. Arch Phys Med Rehabil. (2001)
82183-189.
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Hall Effect Sensor
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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EMG Acquisition
VMO, 50 rpm, Hall effect sensor at 180o
Voltage (volts)
Time (ms)
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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EMG Acquisition
VMO, 40 rpm, Hall effect sensor at 0o and 180o
Voltage (volts)
Time (ms)
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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The Butterworth Filter
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Unfiltered Data
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Filtered Data
Cowan SM, et al. Arch Phys Med Rehabil. (2001)
82183-189.
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Integrated Data
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Experiments
Experiment Test
Minimum muscle warm-up time for repeatable EMG signals With warm-up prescribed from Cowan SM, et al. (2001) vs. no warmup
Effect of changing electrode position on EMG signal Change electrode placement at set distances
Effect of individual differences on EMG signals for non-injured volunteers Measure EMG signals amongst several people
Minimum resistance/speed for even pedaling AND VMO/VL stimulation Increase the resistance (e.g. low, medium, high settings)
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Future Work

• Develop a user-friendly GUI
• Correlate position with crank angle more
  precisely
• More signal processing for de-noising
• Process the signal and plot as a function of
  crank angle or time
• Proof of concept studies with current recovering
  ACL patients

Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Bloopers
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work
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Acknowledgements

• Dr. William Macaulay
• Orthopedic Surgeon, Columbia University Medical
  Center
• Director of Center for Hip and Knee Replacement
• Dr. Ranjan Gupta
• Department Chair of Orthopaedic Surgery, UC
  Irvine
• Professor of Orthopaedics, Anatomy
  Neurobiology, and BME
• James Gossett
• Associate Athletic Director, Columbia University
• Dr. Evan Johnson
• Director of Physical Therapy at the Spine Center
• Administrative Director of the Spine Center
• Julianne Costa
• Occupational Therapist Registered
• Physical Therapist

Dr. Clark Hung Associate Professor of Biomedical
Engineering Dr. Gordana Vunjak-Novakovic Professo
r of Biomedical Engineering Dr. Paul
Sajda Associate Professor of Biomedical
Engineering Dr. Elizabeth Hillman Assistant
Professor of Biomedical Engineering Keith
Yeager Senior Staff Associate, Laboratory
Manager Sean Burgess Teaching Assistant
Robert MaidhofTeaching Assistant Viktor
Gamarnik BME Senior, SMArtView
Overview Relevance Design Goals Signal
Acquisition Signal Processing Future Work