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Ground reaction force analysed with correlation coefficient matrix in group of stroke patients

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Stroke is the third cause of death in contemporary society and causes many disorders. Clinical scales, ground reaction force (GRF) and objective gait analysis are used for assessment of patient’s rehabilitation progress during treatment. The goal of this paper is to assess whether signal correlation coefficient matrix applied to GRF can be used for evaluation of post-stroke patients status. Group of patients underwent clinical assessment and instrumented gait analysis simultaneously three times. The difference between components of patient’s GRF (vertical, fore/aft, med/lat) and normal ones (reference GRF of healthy subjects) was calculated as correlation coefficient. Patients were divided into two groups (“worse and better”) based on the clinical functional scales tests done at the beginning of rehabilitation process. The results obtained by these two groups were compared using statistical analysis. Increase of median value of correlation coefficient is observed in all components of GRF, but only in non-paretic leg. Analysis of GRF signal can be helpful in assessment of post-stroke patients during rehabilitation. Improvement in stroke patients was observed in non-paretic leg of the “worse” group. GRF analysis should not be the only tool for objective validation of patient’s improvement, but could be used as additional source of information.
Rocznik
Strony
3--9
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wykr.
Twórcy
autor
  • Department of Paediatric Rehabilitation, The Children’s Memorial Health Institute, Warsaw, Poland,
autor
  • Faculty of Physiotherapy J.Piłsudski’s Academy of Physical Education, Warsaw, Poland
  • 2nd Department of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland
autor
  • Department of Paediatric Rehabilitation, The Children’s Memorial Health Institute, Warsaw, Poland
Bibliografia
  • [1] BAJAJ A., SCHERNHAMMER E.S., HAIDINGER G., WALDHÖR T., Trends in mortality from stroke in Austria, 1980–2008, Wien, Klin Wochenschr, 2010, 122, 346–353, DOI 10.1007/s00508-010-1394-1, Springer-Verlag, 2010.
  • [2] ROCKSMITH E.R., REDING M.J., New developments in stroke rehabilitation, Curr. Atherosclerosis Rep., 2002, 4, 277–284.
  • [3] DE BUJANDA E., NADEAU S., BURBONNAIS D., Pelvic and shoulder movements in the frontal plane during treadmill walking in adults with stroke, J. Stroke Cerbrovascular Diseases, 2004, 13, 58–69.
  • [4] OLNEY S.J., GRIFFIN M.P., MCBRIDE I.D., Multivariate examination of data from gait analysis of persons with stroke, Phys. Ther., 1998, 78, 814–828.
  • [5] KACZMARCZYK K., WIT A., KRAWCZYK M., ZABORSKI J., Gait classification in post-stroke patients using artificial neural networks, Gait & Posture, 2009, 30(2), 207–210.
  • [6] MARIGOLD D.S., ENG J.J., The relationship of asymmetric weight-bearing with postural sway and visual reliance in stroke, Gait & Posture, 2006, 23, 249–255.
  • [7] SYCZEWSKA M., ÖBERG T., Spinal segmental movement changes during treadmill gait after stroke, J. Hum. Kinetics, 2006, 16, 39–56.
  • [8] HUITEMA R.B., HOF A.L., MULDER T., BROUWER W.H., DEKKER R., POSTEMA K., Functional recovery of gait and joint kinematics after right hemispheric stroke, Arch. Phys. Med. Rehabil., 2004, 85, 1982–1988.
  • [9] GAINEY J.C. et al., Gait analysis of patients who have paged disease, The Journal of Bone and Joint Surgery, 1989, Vol. 71-A, No. 4.
  • [10] KRAUSS T.P., SHURE L., LITTLE J.N., Signal Processing Toolbox User’s Guide for use with Matlab, 1993, 2–61.
  • [11] ÖBERG T., KARSZNIA A., ÖBERG K., Basic gait parameters: reference data for normal subjects, 10–79 years of age, J. Rehabil. Res. 1993, 30, 210–223.
  • [12] GLADSTONE J.D., DANELLS C.J., BLACK S.E., The Fugl-Meyer Assessment of Motor Recovery after Stroke: A Critical Review of Its Measurement Properties, Neurorehabil. Neural. Repair, 2002, 16, 232–240.
  • [13] FUGL-MEYER A.R., JÄÄSKÖ L., LEYMAN I., OLSSON S., STEGLIND S., The post-stroke hemiplegic patient. A method for evaluation of physical performance, Scand. J. Rehabil. Med., 1975, 7, 13–31.
  • [14] COLLEN F.M., WADE D.T., ROBB G.F., BRADSHAW C.M., The Rivermead Mobility Index: A further development of the Rivermead Motor Assessment, Disability and Rehabilitation, 1991, 13, 2, 50–54.
  • [15] BERG K., WOOD-DAUPHINEE S., WILLIAMS J.I., The Balance Scale: reliability assessment with elderly residents and patients with an acute stroke, Scand. J. Rehabil. Med., 1995, 27, 27–36.
  • [16] WHITE R., AGOURIS I., SELBIE R.D., KIRKPATRICK M., The variability of force platform data in normal and cerebral palsy gait, Clinical Biomechanics, 1999, 14, 185–192.
  • [17] WHITE R., AGOURIS I., FLETCHER E., Harmonic analysis of force platform data in normal and cerebral palsy gait, Clinical Biomechanics, 2005, 20, 508–516.
  • [18] GIAKAS G., BALTZOPOULOS V., Time and frequency domain analysis of ground reaction forces during walking: an investigation of variability and symmetry, Gait & Posture, 1997, 5, 189–197.
  • [19] BOWDEN M.G., BALASUBRAMANIAN C.K., NEPTUNE R.R., KAUTZ S., Anterior-posterior ground reaction forces as a measure of paretic leg contribution in hemiparetic walking. DOI: 10.1161/01. str.0000204063.75779.8d.
  • [20] OLNEY S.J., GRIFFIN M.P., MONGA T.N., MCBRIDE I.D., Work and power in gait of stroke patients, Arch. Phys. Med. Rehabil., 1991, 72, 309–314.
  • [21] ZEEMAN P. et al., Achieving dramatically increased walking speed inchronic stroke patients: optimizing gait performance and cardiovascular health through high-intensity physical training, Posters,Parkinsonism and Related Disorders 16S1, 2010, 11–86.
  • [22] ROBY-BRAMI A., FEYDY A., COMBEAUD M., BIRYUKOVA E.V., BUSSEL B., LEVIN M.F., Motor compensation and recovery for reaching in stroke patients, Acta Neurol. Scand., 2003, 107, 369–381.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-21f194e0-4a97-4003-9cf8-6e90661e1bf0
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