Real-Time Fall Risk Assessment Using Functional Reach Test
Falls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals after stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requ...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | International Journal of Telemedicine and Applications |
| Online Access: | http://dx.doi.org/10.1155/2017/2042974 |
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| _version_ | 1832545890232958976 |
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| author | Brian Williams Brandon Allen Zhen Hu Hanna True Jin Cho Austin Harris Nancy Fell Mina Sartipi |
| author_facet | Brian Williams Brandon Allen Zhen Hu Hanna True Jin Cho Austin Harris Nancy Fell Mina Sartipi |
| author_sort | Brian Williams |
| collection | DOAJ |
| description | Falls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals after stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requests, we explore the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function in mStroke, a real-time and automatic mobile health system for poststroke recovery and rehabilitation. mStroke is designed, developed, and delivered as an Application (App) running on a hardware platform consisting of an iPad and one or two wireless body motion sensors based on different mobile health functions. The FRT function in mStroke is extensively tested on healthy human subjects to verify its concept and feasibility. Preliminary performance will be presented to justify the further exploration of the FRT function in mStroke through clinical trials on individuals after stroke, which may guide its ubiquitous exploitation in the near future. |
| format | Article |
| id | doaj-art-e91c95689ad54de49c1f1c84be2b2255 |
| institution | Kabale University |
| issn | 1687-6415 1687-6423 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Telemedicine and Applications |
| spelling | doaj-art-e91c95689ad54de49c1f1c84be2b22552025-02-03T07:24:32ZengWileyInternational Journal of Telemedicine and Applications1687-64151687-64232017-01-01201710.1155/2017/20429742042974Real-Time Fall Risk Assessment Using Functional Reach TestBrian Williams0Brandon Allen1Zhen Hu2Hanna True3Jin Cho4Austin Harris5Nancy Fell6Mina Sartipi7Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USADepartment of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USADepartment of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USADepartment of Physical Therapy, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USADepartment of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USADepartment of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USADepartment of Physical Therapy, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USADepartment of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USAFalls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals after stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requests, we explore the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function in mStroke, a real-time and automatic mobile health system for poststroke recovery and rehabilitation. mStroke is designed, developed, and delivered as an Application (App) running on a hardware platform consisting of an iPad and one or two wireless body motion sensors based on different mobile health functions. The FRT function in mStroke is extensively tested on healthy human subjects to verify its concept and feasibility. Preliminary performance will be presented to justify the further exploration of the FRT function in mStroke through clinical trials on individuals after stroke, which may guide its ubiquitous exploitation in the near future.http://dx.doi.org/10.1155/2017/2042974 |
| spellingShingle | Brian Williams Brandon Allen Zhen Hu Hanna True Jin Cho Austin Harris Nancy Fell Mina Sartipi Real-Time Fall Risk Assessment Using Functional Reach Test International Journal of Telemedicine and Applications |
| title | Real-Time Fall Risk Assessment Using Functional Reach Test |
| title_full | Real-Time Fall Risk Assessment Using Functional Reach Test |
| title_fullStr | Real-Time Fall Risk Assessment Using Functional Reach Test |
| title_full_unstemmed | Real-Time Fall Risk Assessment Using Functional Reach Test |
| title_short | Real-Time Fall Risk Assessment Using Functional Reach Test |
| title_sort | real time fall risk assessment using functional reach test |
| url | http://dx.doi.org/10.1155/2017/2042974 |
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