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A quantifiable assessment device for stroke patients

Published: 23 April 2007 Publication History

Abstract

After a person suffers from a stroke, the most common disability that arises from it is paralysis. In order to assist the patient to return to his/her normal way of life as much as possible, a rehabilitation program is tailored for the patient. However, before any rehabilitation program could be given to the patient, assessment tests has to be carried out. Motor function assessments are basically assessment of human muscle strength. The objective of this project is to design and develop a quantifiable assessment device for stroke patients. For collection of data, the subject was asked to perform a muscle assessment which is a combination of isoinertial and isokinetic muscle assessment. The motion was then captured and analysed using a 2-Dimensional kinematic video analysis. The result of the assessment reveals that the fluidity of the motion is shown clearly. The data of two different set of performances could also be readily differentiated, albeit the progress of the patient may be just a little. This has shown that the assessment designed in this project for a stroke patient through kinematic analysis is able to assess the ability of the patient. However, this assessment has been carried out on one muscle group and no actual stroke patients are involved. The assessment could be conducted on stroke patients to ensure there is a direct correlation between assessment and clinical measures.

References

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National Institute of Neurological Disorders and Stroke. (2002). Post-Stroke Rehabilitation Fact Sheet, {Online}. Available: http://www.ninds.nih.gov/disorders/stroke/poststrokerehab.htm {2006, October 21}
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National Institute of Neurological Disorders and Stroke. (2002). Stroke: Hope Through Research, {Online}. Available: http://www.ninds.nih.gov/disorders/stroke/detail_stroke.htm {2006, October 21}
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  • (2013)Tangible games for stroke rehabilitation with digital box and blocks testCHI '13 Extended Abstracts on Human Factors in Computing Systems10.1145/2468356.2468448(523-528)Online publication date: 27-Apr-2013
  • (2013)The Digital Box and Block Test Automating traditional post-stroke rehabilitation assessment2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)10.1109/PerComW.2013.6529516(360-363)Online publication date: Mar-2013
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cover image ACM Conferences
i-CREATe '07: Proceedings of the 1st international convention on Rehabilitation engineering & assistive technology: in conjunction with 1st Tan Tock Seng Hospital Neurorehabilitation Meeting
April 2007
272 pages
ISBN:9781595938527
DOI:10.1145/1328491
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 April 2007

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  1. assessment device
  2. stroke

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View all
  • (2018)Development of an evaluation system for upper limb function using AR technologyProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3205651.3208256(1835-1840)Online publication date: 6-Jul-2018
  • (2013)Tangible games for stroke rehabilitation with digital box and blocks testCHI '13 Extended Abstracts on Human Factors in Computing Systems10.1145/2468356.2468448(523-528)Online publication date: 27-Apr-2013
  • (2013)The Digital Box and Block Test Automating traditional post-stroke rehabilitation assessment2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)10.1109/PerComW.2013.6529516(360-363)Online publication date: Mar-2013
  • (2012)E-HealthMedia Networks10.1201/b12049-26(489-502)Online publication date: 19-Jun-2012

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