Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones
To be effective, a prescribed prosthetic device must match the functional requirements and capabilities of each patient. These capabilities are usually assessed by a clinician and reported by the Medicare K-level designation of mobility. However, it is not clear how the K-level designation objective...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Public Library of Science
2013
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| Online Access: | http://hdl.handle.net/1721.1/80735 |
| _version_ | 1826197752659312640 |
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| author | Albert, Mark V. Valentin, Juliana Herrmann, Megan Kording, Konrad P. Jayaraman, Arun McCarthy, Cliodhna M. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Albert, Mark V. Valentin, Juliana Herrmann, Megan Kording, Konrad P. Jayaraman, Arun McCarthy, Cliodhna M. |
| author_sort | Albert, Mark V. |
| collection | MIT |
| description | To be effective, a prescribed prosthetic device must match the functional requirements and capabilities of each patient. These capabilities are usually assessed by a clinician and reported by the Medicare K-level designation of mobility. However, it is not clear how the K-level designation objectively relates to the use of prostheses outside of a clinical environment. Here, we quantify participant activity using mobile phones and relate activity measured during real world activity to the assigned K-levels. We observe a correlation between K-level and the proportion of moderate to high activity over the course of a week. This relationship suggests that accelerometry-based technologies such as mobile phones can be used to evaluate real world activity for mobility assessment. Quantifying everyday activity promises to improve assessment of real world prosthesis use, leading to a better matching of prostheses to individuals and enabling better evaluations of future prosthetic devices. |
| first_indexed | 2024-09-23T10:52:36Z |
| format | Article |
| id | mit-1721.1/80735 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:52:36Z |
| publishDate | 2013 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/807352022-09-30T23:37:58Z Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones Albert, Mark V. Valentin, Juliana Herrmann, Megan Kording, Konrad P. Jayaraman, Arun McCarthy, Cliodhna M. Massachusetts Institute of Technology. Department of Mechanical Engineering McCarthy, Cliodhna M. To be effective, a prescribed prosthetic device must match the functional requirements and capabilities of each patient. These capabilities are usually assessed by a clinician and reported by the Medicare K-level designation of mobility. However, it is not clear how the K-level designation objectively relates to the use of prostheses outside of a clinical environment. Here, we quantify participant activity using mobile phones and relate activity measured during real world activity to the assigned K-levels. We observe a correlation between K-level and the proportion of moderate to high activity over the course of a week. This relationship suggests that accelerometry-based technologies such as mobile phones can be used to evaluate real world activity for mobility assessment. Quantifying everyday activity promises to improve assessment of real world prosthesis use, leading to a better matching of prostheses to individuals and enabling better evaluations of future prosthetic devices. Max Nader Center for Rehabilitation Technologies and Outcomes 2013-09-16T13:53:51Z 2013-09-16T13:53:51Z 2013-06 2012-10 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/80735 Albert, Mark V., Cliodhna McCarthy, Juliana Valentin, Megan Herrmann, Konrad Kording, and Arun Jayaraman. “Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones.” Edited by Miklos S. Kellermayer. PLoS ONE 8, no. 6 (June 4, 2013): e65340. en_US http://dx.doi.org/10.1371/journal.pone.0065340 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS |
| spellingShingle | Albert, Mark V. Valentin, Juliana Herrmann, Megan Kording, Konrad P. Jayaraman, Arun McCarthy, Cliodhna M. Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones |
| title | Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones |
| title_full | Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones |
| title_fullStr | Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones |
| title_full_unstemmed | Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones |
| title_short | Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones |
| title_sort | monitoring functional capability of individuals with lower limb amputations using mobile phones |
| url | http://hdl.handle.net/1721.1/80735 |
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