Title |
Patient specific ankle-foot orthoses using rapid prototyping
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Published in |
Journal of NeuroEngineering and Rehabilitation, January 2011
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DOI | 10.1186/1743-0003-8-1 |
Pubmed ID | |
Authors |
Constantinos Mavroidis, Richard G Ranky, Mark L Sivak, Benjamin L Patritti, Joseph DiPisa, Alyssa Caddle, Kara Gilhooly, Lauren Govoni, Seth Sivak, Michael Lancia, Robert Drillio, Paolo Bonato |
Abstract |
Prefabricated orthotic devices are currently designed to fit a range of patients and therefore they do not provide individualized comfort and function. Custom-fit orthoses are superior to prefabricated orthotic devices from both of the above-mentioned standpoints. However, creating a custom-fit orthosis is a laborious and time-intensive manual process performed by skilled orthotists. Besides, adjustments made to both prefabricated and custom-fit orthoses are carried out in a qualitative manner. So both comfort and function can potentially suffer considerably. A computerized technique for fabricating patient-specific orthotic devices has the potential to provide excellent comfort and allow for changes in the standard design to meet the specific needs of each patient. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | <1% |
United Kingdom | 1 | <1% |
Libya | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 292 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 50 | 17% |
Student > Master | 47 | 16% |
Student > Bachelor | 41 | 14% |
Researcher | 34 | 11% |
Professor > Associate Professor | 13 | 4% |
Other | 53 | 18% |
Unknown | 59 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 137 | 46% |
Medicine and Dentistry | 24 | 8% |
Nursing and Health Professions | 15 | 5% |
Design | 14 | 5% |
Computer Science | 6 | 2% |
Other | 27 | 9% |
Unknown | 74 | 25% |