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Potential Use of a Smartphone to Evaluate Gait during Walking in Stroke Patients
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스마트폰 어플리케이션을 이용한 뇌졸중 환자의 보행 평가 가능성

논문 기본 정보

Type
Academic journal
Author
An, Bo-Ra (라온휴병원 물리치료실) Ki, Kyong-Il (대한PNF학회 대전충남도회) Woo, Young-Keun (전주대학교 의과학대학 물리치료학과)
Journal
대한고유수용성신경근촉진법학회 PNF and movement PNF and movement 제16권 제1호 KCI Accredited Journals
Published
2018.1
Pages
67 - 73 (7page)

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Potential Use of a Smartphone to Evaluate Gait during Walking in Stroke Patients
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Purpose: Smartphones, which are widely used worldwide to detect acceleration and position, have been used in the area of rehabilitation medicine in recent clinical research studies and tests. The aim of the present study was to determine the feasibility of using a smartphone application based on center of movement (COM) displacement to measure gait parameters in stroke patients in the clinical field of rehabilitation medicine. Methods: The study consisted of 30 stroke patients. The COM was measured using a smartphone application, Gait Analysis Pro, during a 6-m walk. Each patient performed three 6-m walking trials, and the smartphone application measured gait duration, gait speed, step length, cadence, and vertical and lateral displacement of the COM. The Kolmogorov-Smirnov test was conducted to determine the normality in gait parameters, and a repeated one-way analysis of variance (ANOVA) was performed to determine the consistency among the three trials. A p value of 0.05 was considered statistically significant in all the tests. Results: In all the measured parameters, the smartphone application showed a normal distribution, as shown by the results of the Kolmogorov-Smirnov test. There were no significant differences among the three repetitive walking trials. Conclusion: These results suggest that the smartphone application can be used for evaluating gait in stroke patients, as well as in healthy adults. However, prior to using the smartphone application in the clinical field, further research involving three-dimensional gait analysis is needed to enhance the confidence level of the findings.
#Gait #Smartphone application #Stroke

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References (28)

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An B / 2017 / Center of mass with the use of smartphone during walking in healthy individuals / Journal of Physical Therapy Science 29(8):1426~1428 Crossref 배원식 / 2011 / 뇌졸중 환자에서 기능평가와 보행 및 균형과의 관련성 / 대한물리의학회지 6(1):59~69 dbpia Birol B / 2014 / Gait distrubances in patients with stroke / The American Academy of Physical Medicine and Rehabilitation 6(7):635~642 google schola Capela NA / 2015 / Novel algorithm for a smartphone-based 6-minute walk test application: algorithm, application development, and evaluation / Journal of Neuroengineering and Rehabilitation 12(19) Crossref Chung SG / 2004 / Biomechanic changes in passive properties of hemiplegic ankles with spastic hypertonia / Archives of Physical Medicine and Rehabilitation 85(10):1638~1646 Crossref

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