DOI QR코드

DOI QR Code

Validity Study of Dynamic Balance Abilities Measure using a Smartphone

스마트폰을 이용한 동적균형능력 측정의 타당도 연구

  • Han, Seul-Ki (Dept. of Physical Therapy, Youngdong University) ;
  • Lee, Sang-Yong (Dept. of Physical Therapy, Youngdong University) ;
  • Lee, Dae-Hee (Dept. of Physical Therapy, Youngdong University) ;
  • Park, Jung-Seo (Dept. of Physical Therapy, Daejeon Institute of Science and Technology)
  • 한슬기 (영동대학교 물리치료학과) ;
  • 이상용 (영동대학교 물리치료학과) ;
  • 이대희 (영동대학교 물리치료학과) ;
  • 박정서 (대전과학기술대학교 물리치료학과)
  • Received : 2016.03.28
  • Accepted : 2016.04.22
  • Published : 2016.05.31

Abstract

PURPOSE: The purpose of this study was to investigate the validity of dynamic balance measurements using a smartphone. METHODS: Thirty subjects were selected out of Y-university students without fractures, operation history, and inflammatory arthritis who had not started regular exercise during the past three months. Their dynamic balance ability was measured by the Biodex Balance System (Biodex Medical Systems, Inc., USA) using smartphones. The smartphone utilized in this study was the Galaxy Note4 LTE (SM-N910K, Samsung, Korea), and the application was the Sensor Kinetics pro (Ver.2.1.2, INNOVENTIONS Inc, US). The dynamic balance ability was measured in triplicate. RESULTS: With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the roll value of the smartphone gyroscope versus the medial/lateral score of the Biodex Balance System. With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the total value of the smartphone gyroscope versus the total score of the Biodex Balance System. CONCLUSION: This study indicated that using a smartphone can generate highly limited data regarding balance ability. They are unlikely to replace the existing more expensive devices entirely. However, smartphones may be highly useful in environments in which an expensive device is not available or when dynamic balance ability should be measured immediately or within a few hours.

Keywords

References

  1. Chang WD, Chang WY, Lee CL, et al. Validity and reliability of wii fit balance board for the assessment of balance of healthy young adults and the elderly. J Phys Ther Sci. 2013;25(10):1251-3. https://doi.org/10.1589/jpts.25.1251
  2. GEURTS, Alexander CH, Knoop JA, et al. Identification of static and dynamic postural instability following traumatic brain injury. Archives of physical medicine and rehabilitation. 1996;77(7):639-44. https://doi.org/10.1016/S0003-9993(96)90001-5
  3. Jung HY, Choi JD. The effects of vestibular sensory stimulation training on balance and gait in the patients with stroke. KAPTS. 2014;26(5):365-71.
  4. Jung PH, Lee SW, Song CG, et al. Counting walk-steps and detection of phone's orientation/position using inertial sensors of smartphones. KTCP. 2013;19(1):46-50.
  5. Kim EJ, Kim TS, Bae SS. Fall-related injury and balance of the elderly. J Korean Soc Phys Med. 1998;10(2): 161-71.
  6. Lee GC, Yoon JG. The effects of visuo-perceptual biofeedback training on dynamic postural balance in stroke patients. KAPTS. 2002;9(2):17-26.
  7. Lee JB. Gait analysis of the normal and the hemiplegic walking using the acceleration of the CoM. Master's Degree. Yonsei University. 2003.
  8. Lee NH, Lee J, Lee GN. The effects of treatment With a TETRAX on balance and mobility in acute stroke patients. PTK. 2010;17(3):11-9.
  9. Lee YJ. Study on emergency-monitoring system of the elderly using electrocardiogram, accelerometer, and gyroscope. Master's Degree. Hankyung University. 2011.
  10. Lim JY, Kim TH, Lee JS. Reliability of measuring the passive range of shoulder horizontal adduction using a smartphone in the supine versus the side-lying position. J Phys Ther Sci. 2015;27(10):3119-22. https://doi.org/10.1589/jpts.27.3119
  11. Matsumura K, Yamakoshi T. iPhysioMeter: a new approach for measuring heart rate and normalized pulse volume using only a smartphone. Behav Res Methods. 2013;45(4):1272-8. https://doi.org/10.3758/s13428-012-0312-z
  12. Park Ds, Lee DY, Choi SJ, et al. Reliability and validity of the balancia using Wii balance board for assessment of balance with stroke patients. JKAIS. 2013;14(6): 2767-72.
  13. Patterson JA, Amick RZ, Thummar T, et al. Validation of measures from the smartphone sway balance application: a pilot study. Int J Sports Phys Ther. 2014; 9(2):135-9.
  14. Son HH. The Effects of Stabilization Exercise with Abdominal Breath on Balance and Oswestry Disability Index for Low Back Pain Patients. J Korean Soc Phys Med. 2015;10(1): 107-13.
  15. TYSON, Sarah, DESOUZA, Lorraine. The measurement of balance post-stroke part 3 instrumented measurement tools. Physical therapy reviews. 2002;7(4): 231-41. https://doi.org/10.1179/108331902235001994
  16. Yang HG, Yong HS. Physical activity recognition using accelerometer of smart phone. JOK. 2012;39(2):7-9.
  17. Yang HG, Yong SH. Real-time physical activity recognition using tri-axis accelerometer of smartphone. Journal of Korea Multimedia Society. 2014;17(4):506-13. https://doi.org/10.9717/kmms.2014.17.4.506
  18. Yang, HS, Lee, KW. Comparison of the balance relations between healthy subjects and patients with chronic low back pain. Physical Therapy Korea. 2002;9(2): 1-17.

Cited by

  1. Wii Balance Board를 이용한 Sit-to-Stand와 보행시 지면반발력의 타당도 분석 vol.11, pp.4, 2016, https://doi.org/10.13066/kspm.2016.11.4.85
  2. 디지털 장비(FRA 510 S)를 활용한 한국 20대 정상 성인 균형능력 평가 및 지표 개발 vol.10, pp.9, 2016, https://doi.org/10.22156/cs4smb.2020.10.09.215
  3. Dynamic balance measurements: Reliability of smartphone attachment sites vol.27, pp.None, 2021, https://doi.org/10.1016/j.jbmt.2021.03.004