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dc.contributor.advisorHugh Herr.en_US
dc.contributor.authorBasel, Louis Hongen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Mechanical Engineering.en_US
dc.date.accessioned2007-02-21T13:23:54Z
dc.date.available2007-02-21T13:23:54Z
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/36297
dc.descriptionThesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, June 2006.en_US
dc.description"May 2006."en_US
dc.descriptionIncludes bibliographical references (leaf 25).en_US
dc.description.abstractThe overarching goal of this work is to develop a control algorithm that will allow an active prosthetic ankle to emulate its biological equivalent. The current convention for below-knee amputees is to use passive ankles. Previous work exists in active ankles under state machine control and active prosthetic elbows under electromyographic (EMG) based control. In this paper, an investigation of methods for collecting EMG and ankle angle data are reviewed and a preliminary correlation of the two is developed. Experimental hardware has been designed to facilitate the simultaneous measurement of ankle angle and EMG. Its design and functional requirements are reviewed. Ankle angle is assumed to be linear in EMG, and a correlation is developed and evaluated from collected data. A comparison is made between self-verified data (where one set of data is used to develop a correlation and also to verify it) and naive data (where one set of data is used to develop a correlation and another is used to verify it). Noise and inaccuracies in the model resulted in correlations that could predict ankle angle at best with a 0.972 correlation coefficient.en_US
dc.description.abstract(cont.) With naive data, linearity, as measured by the correlation coefficient fell, but not as significantly as RMS, indicating a relative shift in sensitivity of EMG channels. A lack of repeatability in predicted angle indicates an inaccuracy in the model used or too great a degree of noise. A single position can be produced on multiple instances by significantly different EMG signals indicating an incompleteness of the model or poorly understood factors regarding noise and EMG sensitivity drift.en_US
dc.description.statementofresponsibilityby Louis Hong Basel.en_US
dc.format.extent29 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectMechanical Engineering.en_US
dc.titlePreliminary investigation of the use of electromyographic signal for the control of a prosthetic ankleen_US
dc.typeThesisen_US
dc.description.degreeS.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc77730115en_US


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