본문 바로가기
KERD
논문KCI 등재

Effect of Visual and Somatosensory Information Inputs on Postural Sway in Patients With Stroke Using Tri-Axial Accelerometer Measurement

2

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류물리치료학

초록

Background: Posture balance control is the ability to maintain the body’s center of gravity in the minimal postural sway state on a supportive surface. This ability is obtained through a complicated process of sensing the movements of the human body through sensory organs and then integrating the information into the central nervous system and reacting to the musculoskeletal system and the support action of the musculoskeletal system. Motor function, including coordination, motor, and vision, vestibular sense, and sensory function, including proprioception, should act in an integrated way. However, more than half of stroke patients have motor, sensory, cognitive, and emotional disorders for a long time. Motor and sensory disorders cause the greatest difficulty in postural control among stroke patients. Objects: The purpose of this study is to determine the effect of visual and somatosensory information on postural sway in stroke patients and carrying out a kinematic analysis using a tri-axial accelerometer and a quantitative assessment. Methods: Thirty-four subjects posed four stance condition was accepted various sensory information for counterbalance. This experiment referred to the computerized dynamic posturography assessments and was redesigned four condition blocking visual and somatosensory information. To measure the postural sway of the subjects’ trunk, a wireless tri-axial accelerometer was used by signal vector magnitude value. Ony-way measure analysis of variance was performed among four condition. Results: There were significant differences when somatosensory information input blocked (p<.05). Conclusion: The sensory significantly affecting the balance ability of stroke patients is somatosensory, and the amount of actual movement of the trunk could be objectively compared and analyzed through quantitative figures using a tri-axial accelerometer for balance ability.

Abstract

Background: Posture balance control is the ability to maintain the body’s center of gravity in the minimal postural sway state on a supportive surface. This ability is obtained through a complicated process of sensing the movements of the human body through sensory organs and then integrating the information into the central nervous system and reacting to the musculoskeletal system and the support action of the musculoskeletal system. Motor function, including coordination, motor, and vision, vestibular sense, and sensory function, including proprioception, should act in an integrated way. However, more than half of stroke patients have motor, sensory, cognitive, and emotional disorders for a long time. Motor and sensory disorders cause the greatest difficulty in postural control among stroke patients. Objects: The purpose of this study is to determine the effect of visual and somatosensory information on postural sway in stroke patients and carrying out a kinematic analysis using a tri-axial accelerometer and a quantitative assessment. Methods: Thirty-four subjects posed four stance condition was accepted various sensory information for counterbalance. This experiment referred to the computerized dynamic posturography assessments and was redesigned four condition blocking visual and somatosensory information. To measure the postural sway of the subjects’ trunk, a wireless tri-axial accelerometer was used by signal vector magnitude value. Ony-way measure analysis of variance was performed among four condition. Results: There were significant differences when somatosensory information input blocked (p<.05). Conclusion: The sensory significantly affecting the balance ability of stroke patients is somatosensory, and the amount of actual movement of the trunk could be objectively compared and analyzed through quantitative figures using a tri-axial accelerometer for balance ability.

참고문헌 (33)

  1. Allum JH, "Proprioceptive control of posture: A review of new concepts", Gait Posture, 8(3), pp.214~242 (1998)
  2. Benaim C, "Validation of a standardized assessment of postural control in stroke patients: The Postural Assessment Scale for Stroke Patients (PASS)", Stroke, 30(9), pp.1862~1868 (1999)
  3. Bogle Thorbahn LD, "Use of the Berg Balance Test to predict falls in elderly persons", Phys Ther, 76(6), pp.576~583 (1996)
  4. Brauer SG, "A prospective study of laboratory and clinical measures of postural stability to predict community-dwelling fallers", J Gerontol A Biol Sci Med Sci, 55(8), pp.M469~M476 (2000)
  5. Edwards AS, "Body sway and vision", J Exp Psychol, 36(6), pp.526~535 (1946)
  6. Geiger RA, "Balance and mobility following stroke: Effects of physical therapy interventions with and without biofeedback", forceplate training, 2001, pp.81(4), 995~1005
  7. Horak FB, "Clinical assessment of balance disorders", Gait Posture, 6(1), pp.76~84 (1997)
  8. Horak FB, "Components of postural dyscontrol in the elderly: A review", Neurobiol Aging, 10(6), pp.727~738 (1989)
  9. Jacobson GP, "Handbook of Balance Function Testing", pp.308~334 (1993), Mosby Year Book
  10. Jang ES, "The effects of balance training using balance system in the hemiplegic patients", J Korean Acad Rehabil Med, 23(5), pp.899~904 (1999)
  11. Kamen G, "An accelerometry-based system for the assessment of balance and postural sway", Gerontology, 44(1), pp.40~45 (1998)
  12. Kwakkel G, "Predicting disability in stroke--A critical review of the literature", Age Ageing, 25(6), pp.479~489 (1996)
  13. Laufer Y, "Standing balance and functional recovery of patients with right and left hemiparesis in the early stages of rehabilitation", Neurorehabil Neural Repair, 17(4), pp.207~213 (2003)
  14. Lee DN, "Visual proprioceptive control of stance", Journal of Human Movement Studies, 1(2), pp.87~95 (1975)
  15. Liaw LJ, "The relative and absolute reliability of two balance performance measures in chronic stroke patients", Disabil Rehabil, 30(9), pp.656~661 (2008)
  16. Liston RA, "Reliability and validity of measures obtained from stroke patients using the balance master", Arch Phys Med Rehabil, 77(5), pp.425~430 (1996)
  17. Mancini M, "The relevance of clinical balance assessment tools to differentiate balance deficits", Eur J Phys Rehabil Med, 46(2), pp.239~248 (2010)
  18. Mathie MJ, "Classification of basic daily movements using a triaxial accelerometer", Med Biol Eng Comput, 42(5), pp.679~687 (2004)
  19. Mathie MJ, "Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement", Physiol Meas, 25(2), pp.R1~R20 (2004)
  20. Matsumura BA, "Balance in the elderly", Clin Geriatr Med, 22(2), pp.395~412 (2006)
  21. Mayagoitia RE, "Standing balance evaluation using a triaxial accelerometer", Gait Posture, 16(1), pp.55~59 (2002)
  22. McCollum G, "Organizing sensory information for postural control in altered sensory environments", J Theor Biol, 180(3), pp.257~270 (1996)
  23. Moe-Nilssen R, "Test-retest reliability of trunk accelerometry during standing and walking", Arch Phys Med Rehabil, 79(11), pp.1377~1385 (1998)
  24. 문성준, "시각차단 균형훈련이 뇌졸중 환자의 보행기능에 미치는 영향", 대한물리의학회지, 7(4), pp.411~421 (2012), 대한물리의학회
  25. Mulder T, "Sensorimotor Impairment in the Elderly" (1993), Springer Netherlands
  26. O’Sullivan M, "Correlation of accelerometry with clinical balance tests in older fallers and non-fallers", Age Ageing, 38(3), pp.308~313 (2009)[DOI]
  27. Paulus WM, "Visual stabilization of posture. Physiological stimulus characteristics and clinical aspects", Brain, 107(Pt 4), pp.1143~1163 (1984)
  28. Riccio GE, "An ecological theory of motion sickness and postural instability", Ecol Psychol, 3(3), pp.195~240 (1991)
  29. Tyson SF, "Balance disability after stroke", Phys Ther, 86(1), pp.30~38 (2006)
  30. Wang CH, "Psychometric properties of 2 simplified 3-level balance scales used for patients with stroke", Phys Ther, 84(5), pp.430~438 (2004)
  31. Warren WH Jr, "Visual control of step length during running over irregular terrain", J Exp Psychol Hum Percept Perform, 12(3), pp.259~266 (1986)
  32. S.L. Whitney, "A comparison of accelerometry and center of pressure measures during computerized dynamic posturography: A measure of balance", Gait & Posture, 33(4), pp.594~599 (2011), Elsevier BV[DOI]
  33. Woollacott MH, "Changes in posture control across the life span--A systems approach", Phys Ther, 70(12), pp.799~807 (1990)

관련 논문AI추천

이 간행물의 다른 논문 (10건)