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가속도 주파수분석 방법을 이용한 스마트폰 기반 정적균형평가

Smartphone Based Standing Balance Evaluation Using Frequency Domain Analysis of Acceleration

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참고문헌

키워드

주제분류물리치료학

초록

Background: At present time, smartphones have become very popular and powerful devices, and smartphone applications with the good validity have been designed to assess human balance ability. Objects: The purpose of this study is to evaluate the feasibility of smartphone acceleration in the assessment of postural control ability for six different conditions. Methods: Twenty healthy college-aged individuals volunteered. Static balance ability was measured twice with one-day interval using smartphone application and 3D motion capture system under the six different conditions. Results: Dominant frequencies for each test condition did not show significant differences except for two conditions. The intra-rater correlation coefficient between the first and second tests showed high correlations in six conditions(r>.70, p<.05). Smartphone acceleration and the acceleration calculated from the 3D marker position data showed high correlation coefficient(r>.80, p<.001). Conclusion: Acceleration recorded from a smartphone could be useful assessment variables for balance test in the clinical field.

Abstract

Background: At present time, smartphones have become very popular and powerful devices, and smartphone applications with the good validity have been designed to assess human balance ability. Objects: The purpose of this study is to evaluate the feasibility of smartphone acceleration in the assessment of postural control ability for six different conditions. Methods: Twenty healthy college-aged individuals volunteered. Static balance ability was measured twice with one-day interval using smartphone application and 3D motion capture system under the six different conditions. Results: Dominant frequencies for each test condition did not show significant differences except for two conditions. The intra-rater correlation coefficient between the first and second tests showed high correlations in six conditions(r>.70, p<.05). Smartphone acceleration and the acceleration calculated from the 3D marker position data showed high correlation coefficient(r>.80, p<.001). Conclusion: Acceleration recorded from a smartphone could be useful assessment variables for balance test in the clinical field.

참고문헌 (46)

  1. Bizid R, "Effects of fatigue induced by neuromuscular electrical stimulation on postural control", J Sci Med Sport, 12(1), pp.60~66 (2009)[DOI]
  2. Capela NA, "Evaluation of a smartphone human activity recognition application with able-bodied and stroke participants", J Neuroeng Rehabil, 13, pp.5~ (2016)[DOI]
  3. Chang WH, "Common Disorders Causing Balance Problems", Brain Neurorehabil, 6(2), pp.54~57 (2013)[DOI]
  4. Cheng YY, "Correlation of the composite equilibrium score of computerized dynamic posturography and clinical balance tests", J Clin Gerontol Geriatr, 3(2), pp.77~81 (2012)[DOI]
  5. 조혁신, "고유수용성신경근촉진법의 체간 패턴 운동을 병행한 경두개직류자극이 뇌졸중 환자의 하지 기능에 미치는 영향", 한국산학기술학회논문지, 15(11), pp.6767~6773 (2014), 한국산학기술학회[DOI]
  6. 최현진, "트레드밀 운동학습 훈련이 경직성 뇌성마비 아동의 기능과 균형에 미치는 영향", 한국산학기술학회논문지, 14(2), pp.804~810 (2013), 한국산학기술학회[DOI]
  7. Chaudhry H, "Measurement of balance in computer posturography: Comparison of methods-A brief review", J Bodyw Mov Ther, 15(1), pp.82~91 (2011)[DOI]
  8. Chung CC, "Recurrence quantitative analysis of postural sway using force plate and smartphone", Proc Hum Factors Ergon Soc Annu Meet, 58(1), pp.1271~1275 (2014)[DOI]
  9. Cruz-Montecinos C, "Sensory strategies of postural sway during quiet stance in patients with haemophilic arthropathy", Haemophilia, 23(5), pp.e419~e426 (2017)[DOI]
  10. Dichgans J, "Postural sway in normals and atactic patients: analysis of the stabilising and destabilizing effects of vision", Agressologie, 17(C Spec No), pp.15~24 (1976)
  11. Galan-Mercant A, "Reliability and criterion-related validity with a smartphone used in timed-up-and-go test", Biomed Eng Online, 13, pp.156~ (2014)[DOI]
  12. Golomer E, "Visual contribution to self-induced body sway frequencies and visual perception of male professional dancers", Neurosci Lett.
  13. Golomer E, "Spectral analysis of adult dancers' sways: Sex and interaction vision-proprioception", Int J Neurosci, 105(1-4), pp.15~26 (2000)[DOI]
  14. Golomer E, "Sex-linked differences in equilibrium reactions among adolescents performing complex sensorimotor tasks", J Physiol Paris, 91(2), pp.49~55 (1997)[DOI]
  15. Hambly K, "Agreement between a novel smartphone application and a long arm goniometer for assessment of knee flexion", J Physiother Rehab, 2, pp.1~14 (2012)
  16. Han S, "A study on the reliability of measuring dynamic balance ability using a smartphone", J Phys Ther Sci, 28(a), pp.2515~2518 (2016)[DOI]
  17. 한슬기, "스마트폰의 가속도 센서를 이용한 정적균형능력 측정의 신뢰도 연구", 한국산학기술학회논문지, 17(6), pp.233~238 (2016), 한국산학기술학회[DOI]
  18. Howcroft J, "Understanding dynamic stability from pelvis accelerometer data and the relationship to balance and mobility in transtibial amputees", Gait Posture, 41(3), pp.808~812 (2015)[DOI]
  19. Hsu WL, "Control and estimation of posture during quiet stance depends on multijoint coordination", J Neurophysiol, 97(4), pp.3024~3035 (2007)[DOI]
  20. Hubble RP, "Wearable sensor use for assessing standing balance and walking stability in people with Parkinson's disease: A systematic review", PLoS One, 10(4), pp.e0123705~ (2015)[DOI]
  21. Jarnlo GB, "Functional balance tests related to falls among elderly people living in the community", Eur J Geriatr, 5, pp.7~14 (2003)
  22. 지상구, "고유수용성 신경근 촉진법의 체간 패턴 훈련이 뇌졸중 환자의 하지 근 활성도와 정적 균형에 미치는 영향", 한국산학기술학회논문지, 14(11), pp.5730~5736 (2013), 한국산학기술학회[DOI]
  23. Karantonis DM, "Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring", IEEE Trans Inf Technol Biomed, 10(1), pp.156~167 (2006)[DOI]
  24. Khattar VS, "The clinical test for the sensory interaction of balance", Otolaryngol Clin: Int J, 4(1), pp.41~45 (2012)
  25. Kwon OY, "Evaluation of the balance ability for 20 to 29 years old on the unstable platform", Phys Ther Kor, 3(3), pp.1~11 (1996)
  26. Lee BC, "Cell phone based balance trainer", J Neuroeng Rehabil, 9, pp.10~ (2012)[DOI]
  27. Lee CW, "The effects of hippotherapy and a horse riding simulator on the balance of children with cerebral palsy", J Phys Ther Sci, 26(3), pp.423~425 (2014)[DOI]
  28. Martinez-Mendez R, "Postural sway parameters using a triaxial accelerometer: Comparing elderly and young healthy adults", Comput Methods Biomech Biomed Engin, 15(a), pp.899~910 (2012)[DOI]
  29. Mayagoitia RE, "Standing balance evaluation using a triaxial accelerometer", Gait Posture, 16(1), pp.55~59 (2002)[DOI]
  30. McClenaghan BA, "Spectral characteristics of aging postural control", Gait Posture, 4(2), pp.112~121 (1996)[DOI]
  31. Moe-Nilssen R, "Trunk accelerometry as a measure of balance control during quiet standing", Gait Posture, 16(1), pp.60~68 (2002)[DOI]
  32. Monsell EM, "Computerized dynamic platform posturography", Otolaryngol Head Neck Surg, 117(4), pp.394~398 (1997)[DOI]
  33. Nagy E, "Postural control in athletes participating in an ironman triathlon", Eur J Appl Physiol, 92(4-5), pp.407~413 (2004)
  34. Nishiguchi S, "Self-assessment of rheumatoid arthritis disease activity using a smartphone application. Development and 3-month feasibility study", Methods Inf Med, 55(1), pp.65~69 (2016)[DOI]
  35. Nishiguchi S, "Reliability and validity of gait analysis by android-based smartphone. Telemed", J. E. Health., 18(4), pp.292~296 (2012)
  36. Njiokiktjien C, "A possible contribution of stabilography to the differential diagnosis of cerebellar processes", Agressologie, 19(B), pp.87~88 (1978)
  37. Oba N, "Difference in postural control during quiet standing between young children and adults: Assessment with center of mass acceleration", PLoS One, 10(10), pp.e0140235~ (2015)[DOI]
  38. Richardson PK, "Performance of preschoolers on the pediatric clinical test of sensory Interaction for balance", Am J Occup Ther, 46(9), pp.793~800 (1992)[DOI]
  39. Sasagawa S, "Effect of the hip motion on the body kinematics in the sagittal plane during human quiet standing", Neurosci Lett, 450(1), pp.27~31 (2009)[DOI]
  40. Salzman, B, "Gait and balance disorders in older adults", Am Fam Physician, 82(1), pp.61~68 (2010)
  41. Shah N, "Novel use of a smartphone to measure standing balance", JMIR Rehabil Assist Technol, 3(1), pp.e4~ (2016)[DOI]
  42. Shiavi R, "Introduction to applied statistical signal analysis" (1999), Academic Press
  43. Shumway-Cook A, "Assessing the influence of sensory interaction of balance. Suggestion from the field", Phys Ther, 66(10), pp.1548~1550 (1986)[DOI]
  44. Singh NB, "The spectral content of postural sway during quiet stance: Influences of age, vision and somatosensory inputs", J Electromyogr Kinesiol, 22(1), pp.131~136 (2011)[DOI]
  45. Visser JE, "The clinical utility of posturography", Clin Neurophysiol, 119(11), pp.2424~2436 (2008)[DOI]
  46. Yeh JR, "Nonlinear analysis of sensory organization test for subjects with unilateral vestibular dysfunction", PLoS One, 9(3), pp.e91230~ (2014)[DOI]

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