Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
8 participants
INTERVENTIONAL
2020-11-16
2022-07-18
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
TREATMENT
NONE
Study Groups
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Simultaneous Control
Simultaneous pattern recognition style of control allows prosthetic users to actuate more than one hand/arm function on their device at the same time.
EMG-Pattern Recognition Controller
Using an electromyographic (EMG)-based pattern recognition controller to move an upper limb prosthetic device.
Conventional Control
Conventional, seamless sequential pattern recognition style of control allows prosthetic users to actuate a single hand or arm functions on their device at a time.
EMG-Pattern Recognition Controller
Using an electromyographic (EMG)-based pattern recognition controller to move an upper limb prosthetic device.
Interventions
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EMG-Pattern Recognition Controller
Using an electromyographic (EMG)-based pattern recognition controller to move an upper limb prosthetic device.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Subjects are suitable to be, or already are, a Coapt pattern recognition user (Coapt Complete Control Gen2 device).
* Subjects are between the ages of 18 and 70.
Exclusion Criteria
* Subjects who are non-English speaking.
* Subjects who are pregnant.
18 Years
70 Years
ALL
No
Sponsors
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Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
NIH
Coapt, LLC
INDUSTRY
Responsible Party
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Principal Investigators
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Blair Lock, MScE
Role: PRINCIPAL_INVESTIGATOR
Coapt, LLC
Locations
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Coapt, LLC
Chicago, Illinois, United States
Countries
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References
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Chicoine CL, Simon AM, Hargrove LJ. Prosthesis-guided training of pattern recognition-controlled myoelectric prosthesis. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1876-9. doi: 10.1109/EMBC.2012.6346318.
Scheme E, Englehart K. Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use. J Rehabil Res Dev. 2011;48(6):643-59. doi: 10.1682/jrrd.2010.09.0177.
Simon AM, Hargrove LJ, Lock BA, Kuiken TA. Target Achievement Control Test: evaluating real-time myoelectric pattern-recognition control of multifunctional upper-limb prostheses. J Rehabil Res Dev. 2011;48(6):619-27. doi: 10.1682/jrrd.2010.08.0149.
Wurth SM, Hargrove LJ. A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts' law style assessment procedure. J Neuroeng Rehabil. 2014 May 30;11:91. doi: 10.1186/1743-0003-11-91.
Other Identifiers
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120180276
Identifier Type: -
Identifier Source: org_study_id
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