The Potential Predictors of Motor Performance Outcomes after Rehabilitation for Patients with Stroke

Abstract:

The identification of potential predictors for motor outcome after rehabilitation helps underscore the factors that may affect treatment outcomes and target individuals who benefit the most from the therapy. In this study, we addressed and utilized a classifier to identify the potential predictors for motor performance outcome for patients with stroke after rehabilitation. The potential predictors selected and used by different assessments in this study were age, sex, time since stroke, education, neurologic status, and the movement performance of the upper extremity. This study aimed to identify predictors of motor performance outcomes after rehabilitation for stroke patients. The PSO-SVM was chosen in this study to find the predictor of motor function for clients with stroke. The potential predictors for motor outcome after rehabilitation were motor ability assessment of the Fugl-Meyer Assessment (FMA) and the Functional Independence Measure (FIM). This study is to investigate the potential demographic and clinical characteristics of stroke that can serve to predict rehabilitation outcomes in motor performance.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 1656-1660
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.1656
• Online since: January 2013
• Authors: Jiann Der Lee, Tzyh Chyang Chang, Shih Ting Yang, Chung Hsien Huang, Ching Yi Wu
• Keywords: Classification, Predictor, Stroke

References

[1] J. Carr, R. Shephard, Neurological Rehabilitation: Optimizing Motor Performance. London: Butterworth-Heineman, (1998).

[2] 2. A. C. Plummer, Constraint-induced therapy and the motor learning literature that underpins its application. Phys Ther Rev. 8: 143-149, (2003).

DOI: 10.1179/108331903225002498

[3] M. M. Mirbagheri, and W. Z. Rymer, Predication of reflex recovery after stroke using quantitative assessments of motor impairment at 1 month. The 33th annual international conference of the IEEE EMBS Minneapolis, Minnesota, USA, (2009).

DOI: 10.1109/iembs.2009.5334742

[4] S. L. Fritz, K. E. Light, S. N. Clifford, T. S. Patterson, A. L. Behrman, and S. B. Davis, Descriptive characteristics as potential predictors of outcomes following constrain-induced movement therapy for people after stroke. Phys Ther, 86: 825-835, (2006).

DOI: 10.1093/ptj/86.6.825

[5] J. Langan, P. Donkelaar, The influence of hand dominance on the response to a constraint- induced therapy program following stroke. Neurorehabil Neural Repair, 22: 298-304, (2008).

DOI: 10.1177/1545968307307123

[6] C. Y. Wu, K. C. Lin, H. C. Chen, I. H. Chen, W. H. Hong, Effects of modified constraint-induced movement therapy on movement kinematics and daily function in patients with stroke: a kinematic study of motor control mechanisms. Neurorehabil Neural Repair, 21: 460-466, (2007).

DOI: 10.1177/1545968307303411

[7] M. P. Ploughman, D. Corbett, Can forced-used therapy be clinically applied after stroke? An exploratory randomized controlled trial. Arch Phys Med Rehabil, 85: 1417-1423, (2004).

[8] S. Brunnstrom, Movement Therapy in Hemiplegia. New York, NY: Harper & Row, (1970).

[9] R. Bohannon, M. Smith, Interrater reliability of a modified Ashworth scale of muscle spasticity. Phys Ther, 67: 206-207, (1987).

DOI: 10.1093/ptj/67.2.206

[10] A. Bruno, C. Saha, L. S. Williams, Using change in the National Institutes of Health Stroke Scale to measure treatment effect in acute stroke trials. Stroke, 37: 920-921, (2006).

DOI: 10.1161/01.str.0000202679.88377.e4

[11] F. B. Young, C. J. Weir, and K. R. Lees, Comparison of the National Institutes of Health Stroke Scale with disability outcome measures in acute stroke trials. Stroke, 36: 2187-2192, (2005).

DOI: 10.1161/01.str.0000181089.41324.70

[12] C. J. Tu, L. Y. Chuang, J. Y. Chang, C. H. Yang, Feature Selection using PSO-SVM, IAENG International Journal of Computer Science, 33: 1, (2007).

[13] A. R. Fugl-Meyer, L. Jaasko L, I. Leyman, and S. Steglind, The poststroke hemiplegic patient. 1. A method for evaluation of physical performance. Scand J Rehabil Med, 7: 13-31, (1975).

[14] B. B. Hamilton, C. V. Granger, F. S. Sherwin, M. Zielezny, J. S. Tashman, A uniform national data system for medical rehabilitation. In: Fuhrer MJ, ed. Rehabilitation outcomes: analysis and measurements. Baltimore, MD: Brookes, 137-147, (1987).