Alterations in lower limb multimuscle activation patterns during stair climbing in female total knee arthroplasty patients

作者：Kuntze G^*; von Tscharner V; Hutchison C; Ronsky J L

来源：Journal of Neurophysiology, 2015, 114(5): 2718-2725.

DOI：10.1152/jn.00370.2015

• support vector machine
• wavelet analysis
• pattern recognition
• muscle activity
• electromyography

Total knee arthroplasty (TKA) patients commonly experience neuromuscular adaptations that may affect stair climbing competence. This study identified multimuscle pattern (MMP) changes in postoperative female TKA patients during stair climbing with a support vector machine (SVM). It was hypothesized that TKA patients adopt temporal and spectral muscle activation characteristics indicative of muscle atrophy and cocontraction strategies. Nineteen female subjects [10 unilateral sex-specific TKAs, 62.2 +/- 8.6 yr, body mass index (BMI) 28.2 +/- 5.4 kg/m(2); 9 healthy control subjects, 61.4 +/- 7.4 yr, BMI 25.6 +/- 2.4 kg/m(2)] were recruited. Surface electromyograms (EMGs) were obtained for seven lower limb muscles of the affected limb of TKA subjects and a randomly assigned limb for control subjects during stair climbing. Stance phase (+/- 30%) EMG data were wavelet transformed and normalized to total power. Data across all muscles were combined to form MMPs and analyzed with a SVM. Statistical analysis was performed with binomial tests, independent group t-tests, or independent group Mann-Whitney U-tests in SPSS (P < 0.05). SVM results indicated significantly altered muscle activation patterns in the TKA group for biceps femoris (recognition rate 84.2%), semitendinosus (recognition rate 73.7%), gastrocnemius (recognition rate 68.4%), and tibialis anterior (recognition rate 68.4%). Further analysis identified no significant differences in spectral activation characteristics between groups. Temporal adaptations, indicative of cocontraction strategies, were, however, evident in TKA MMPs. This approach may provide a valuable tool for clinical neuromuscular function assessment and rehabilitation monitoring.

• 出版日期2015-11-1