Gustafson Kenneth J, Marinache Silvia M, Egrie Glenn D, Reichenbach Steven H
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Ann Biomed Eng. 2006 May;34(5):790-8. doi: 10.1007/s10439-006-9077-9. Epub 2006 Apr 6.
Application and development of muscle powered cardiac assist devices is limited by the ability to predict the sustainable power output of in situ conditioned muscle under the expected loading conditions and geometrical constraints. Empirical definition of the sustained power limits and representative models of the bounding conditions where continuous power can be obtained are needed for device design and optimization. The latissimus dorsi muscles of four goats were chronically conditioned for 11 weeks with an implanted myostimulator. The ability to sustain power under isotonic conditions was evaluated across a range of contraction durations (100-600 ms) and rates (10-120 contractions/min). Muscles were characterized both biomechanically and myothermically to develop and evaluate three increasingly complex empirically-based models of metabolic utilization per contraction based on (1) the duty cycle, (2) a linear function of activation time, and (3) a multivariate-derived function of contraction duration, muscle load, and shortening distance. A clearly defined boundary for sustainable stimulation conditions was observed and was best represented by the linear metabolic model. These data provide both an empirical measure of chronically sustainable muscle power and predictive metabolic models that may be used to optimize the power harnessed for skeletal muscle actuated devices.
在预期的负荷条件和几何约束下,预测原位适应性肌肉可持续功率输出的能力。设备设计和优化需要对持续功率极限进行经验性定义,并建立能够获得持续功率的边界条件的代表性模型。对四只山羊的背阔肌进行了为期11周的长期适应性训练,通过植入肌刺激器来实现。在一系列收缩持续时间(100 - 600毫秒)和频率(10 - 120次收缩/分钟)下,评估了肌肉在等张条件下维持功率的能力。对肌肉进行了生物力学和肌热学表征,以建立和评估三种基于经验的、越来越复杂的每次收缩代谢利用模型,这些模型分别基于(1)占空比,(2)激活时间的线性函数,以及(3)收缩持续时间、肌肉负荷和缩短距离的多元导出函数。观察到了可持续刺激条件的明确定义边界,线性代谢模型对其的表征最佳。这些数据既提供了长期可持续肌肉功率的经验性测量,也提供了可用于优化骨骼肌驱动装置所利用功率的预测性代谢模型。