Micro Mechatronics Laboratory, Graduate School of Science and Engineering, Yamaguchi University, 2-16-1 Tokiwadai, Ube 755-8611, Japan.
School of Mechanical Engineering, Chongqing University of Technology, No. 69 Hongguang Avenue, Banan District, Chongqing 400054, China.
J Healthc Eng. 2019 Jan 17;2019:4290957. doi: 10.1155/2019/4290957. eCollection 2019.
To improve or maintain the physical function of bedridden patients, appropriate and effective exercises are required during the patient's bed rest. Resistance training (RT) is an effective exercise for improving the physical function of bedridden patients, and the improvement of the physical function is caused by mechanical stimuli associated with RT. Currently, the measured mechanical stimuli are external variables which represent the synthetic effect of multiple muscles and body movements. Important features of stimuli experienced by muscles are of crucial importance in explaining muscular strength and power adaptation. This study describes an integrated system for assessing muscular states during elbow flexor resistance training in bedridden patients, and some experiments were carried out to test and evaluate this system. The integrated system incorporates an elbow joint angle estimation model (EJAEM), a musculoskeletal model (MSM), and a muscle-tendon model. The EJAEM enables real-time interaction between patient and MSM. The MSM is a three-dimensional model of the upper extremity, including major muscles that make up the elbow flexor and extensor, and was built based on public data. One set of concentric and eccentric contraction was performed by a healthy subject, and the results of the calculations were analyzed to show important features of mechanical stimuli experienced by muscles during the training. The integrated system provides a considerable method to monitor the body-level and muscle-level mechanical stimuli during elbow flexor resistance training in bedridden patients.
为了改善或维持卧床患者的身体功能，在患者卧床休息期间需要进行适当且有效的锻炼。阻力训练（RT）是改善卧床患者身体功能的有效锻炼方法，身体功能的改善是由与 RT 相关的机械刺激引起的。目前，测量的机械刺激是代表多个肌肉和身体运动综合效果的外部变量。肌肉所经历的刺激的重要特征对于解释肌肉力量和功率适应至关重要。本研究描述了一种用于评估卧床患者肘屈肌阻力训练期间肌肉状态的综合系统，并进行了一些实验来测试和评估该系统。该综合系统包括一个肘关节角度估计模型（EJAEM）、一个肌肉骨骼模型（MSM）和一个肌肉肌腱模型。EJAEM 实现了患者与 MSM 的实时交互。MSM 是上肢的三维模型，包括构成肘屈肌和伸肌的主要肌肉，并基于公共数据构建。一个健康的受试者进行了一组向心和离心收缩，对计算结果进行了分析，以显示训练过程中肌肉所经历的机械刺激的重要特征。该综合系统为监测卧床患者肘屈肌阻力训练期间的整体和肌肉水平的机械刺激提供了一种重要方法。
