Journal of the Korean Society of Physical Medicine 2023 KCI Impact Factor : 0.45
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pISSN : 1975-311X / eISSN : 2287-7215
- https://journal.kci.go.kr/kspm
KJCKorea
Journal Central
Reliability and Validity of a Smartphone-based Assessment of Gait Parameters in Patients with Chronic Stroke
- Journal of the Korean Society of Physical Medicine
- Abbr : J Korean Soc Phys Med
- 2018, 13(3), pp.19-25
- DOI : 10.13066/kspm.2018.13.3.19
- Publisher : The Korean Society of Physical Medicine
- Research Area : Medicine and Pharmacy > Physical Therapy > Other physical therapy
- Received : April 24, 2018
- Accepted : May 23, 2018
- Published : August 31, 2018
Jin Park 1, Tae-ho Kim 2
1대구대학교 물리치료학과
2대구대학교
Accredited
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≥.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.
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