Journal of the Korean Society of Physical Medicine (대한물리의학회지)

The Korean Society of Physical Medicine (대한물리의학회)
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Reliability and Validity of a Smartphone-based Assessment of Gait Parameters in Patients with Chronic Stroke

만성 뇌졸중 환자에서 스마트폰을 이용한 보행변수 평가의 신뢰도와 타당도

  • Park, Jin (Department of Physical Therapy, The Graduate School, Daegu University) ;
  • Kim, Tae-Ho (Department of Physical Therapy, Daegu University)
  • 박진 (대구대학교 대학원 물리치료학과) ;
  • 김태호 (대구대학교 물리치료학과)
  • Received : 2018.04.24
  • Accepted : 2018.05.23
  • Published : 2018.08.31
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Abstract

PURPOSE: Most gait assessment tools are expensive and require controlled laboratory environments. Tri-axial accelerometers have been used in gait analysis as an alternative to laboratory assessments. Many smartphones have added an accelerometer, making it possible to assess spatio-temporal gait parameters. This study was conducted to confirm the reliability and validity of a smartphone-based accelerometer at quantifying spatio-temporal gait parameters of stroke patients when attached to the body. METHODS: We measured gait parameters using a smartphone accelerometer and gait parameters through the GAITRite analysis system and the reliability and validity of the smartphone-based accelerometer for quantifying spatio-temporal gait parameters for stroke patients were then evaluated. Thirty stroke patients were asked to walk at self-selected comfortable speeds over a 10 m walkway, during which time gait velocity, cadence and step length were computed from smartphone-based accelerometers and validated with a GAITRite analysis system. RESULTS: Smartphone data was found to have excellent reliability ($ICC2,1{\geq}.98$) for measuring the tested parameters, with a high correlation being observed between smartphone-based gait parameters and GAITRite analysis system-based gait parameters (r = .99, .97, .41 for gait velocity, cadence, step length, respectively). CONCLUSION: The results suggest that specific opportunities exist for smartphone-based gait assessment as an alternative to conventional gait assessment. Moreover, smartphone-based gait assessment can provide objective information about changes in the spatio-temporal gait parameters of stroke subjects.

Keywords

References

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