Biologically inspired autoadaptive control of a knee prosthesis
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/8802 |
| _version_ | 1826197361494327296 |
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| author | Wilkenfeld, Ari (Ari Jacob), 1974- |
| author2 | Gill A. Pratt. |
| author_facet | Gill A. Pratt. Wilkenfeld, Ari (Ari Jacob), 1974- |
| author_sort | Wilkenfeld, Ari (Ari Jacob), 1974- |
| collection | MIT |
| description | Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000. |
| first_indexed | 2024-09-23T10:46:49Z |
| format | Thesis |
| id | mit-1721.1/8802 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:46:49Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/88022019-04-10T23:04:34Z Biologically inspired autoadaptive control of a knee prosthesis Wilkenfeld, Ari (Ari Jacob), 1974- Gill A. Pratt. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000. Includes bibliographical references (leaves 104-106). This thesis describes the electronic control of a knee prosthesis for amputees. A microprocessor receives data from sensors, processes it and determines the proper level of rotary resistance for the joint. Control is maintained through one of two algorithms -- one for a system with sensors only for knee angle and axial force and one that also senses bending moment at the knee base. The electronic knee can control stance stability, adapt to walking cadence and detect stairs and standing modes, all advantages over the conventional mechanical knee. It will also allow flexion during stance- an important component of normal gait that most prostheses do not allow. Parameters for the knee are set automatically from observing the subject walk, rather then relying on the judgment of the prosthetist doing the fitting. As the subject moves, the output of the microprocessor changes and adapts to the actions of the subject, who might be walking faster, picking up a suitcase, or changing shoes. The algorithms were developed using five amputees with varying physical characteristics. Safety, comfort, and natural-appearing movement were considered in the project. by Ari J. Wilkenfeld. Ph.D. 2005-08-23T15:27:15Z 2005-08-23T15:27:15Z 2000 2000 Thesis http://hdl.handle.net/1721.1/8802 48244938 eng M.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. http://dspace.mit.edu/handle/1721.1/7582 106 leaves 6252696 bytes 6252457 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Wilkenfeld, Ari (Ari Jacob), 1974- Biologically inspired autoadaptive control of a knee prosthesis |
| title | Biologically inspired autoadaptive control of a knee prosthesis |
| title_full | Biologically inspired autoadaptive control of a knee prosthesis |
| title_fullStr | Biologically inspired autoadaptive control of a knee prosthesis |
| title_full_unstemmed | Biologically inspired autoadaptive control of a knee prosthesis |
| title_short | Biologically inspired autoadaptive control of a knee prosthesis |
| title_sort | biologically inspired autoadaptive control of a knee prosthesis |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/8802 |
| work_keys_str_mv | AT wilkenfeldariarijacob1974 biologicallyinspiredautoadaptivecontrolofakneeprosthesis |