Caruso W, Leisman G
Parker College of Chiropractic, Research Institute.
Percept Mot Skills. 2000 Oct;91(2):683-92. doi: 10.2466/pms.2000.91.2.683.
Manual muscle testing procedures are the subject of a force and displacement analysis. Equipment was fabricated, tested, and employed to gather force, displacement, and time data for the purpose of examining muscle-test parameters as used by clinicians in applied kinesiology. Simple mathematical procedures are used to process the data to find potential patterns of force and displacement which would correspond to the testing of strong and weak muscles of healthy subjects. Particular attention is paid to the leading edge of the force pulses, as most clinicians report they derive most of their assessment from the initial thrust imparted on the patient's limb. An analysis of the simple linear regression of the slope (distance vs force) of the leading edge of a force pulse indicates that a significantly large slope is indicative of weak muscles (as perceived by the clinician), and a small slope is indicative of strong muscles. Threshold criteria for slopes are specified to create a model that may discriminate between strong and weak muscles. The model is accurate 98% of the time compared to judgments of clinicians with more than 5 years of experience but is considerably lower for clinicians with less than five years of experience (64%). this accuracy rate indicates that the model is reliable in predicting the clinician's perception of muscle strength, and it also indicates that the testing procedure for muscle strength used by experienced clinicians in applied kinesiology are reliable. The experiment lays the groundwork for studies of the objectivity of muscle-strength assessment in applied kinesiology.
徒手肌力测试程序是一项力与位移分析的主题。制造、测试并使用了相关设备，以收集力、位移和时间数据，目的是检查应用运动机能学中临床医生所使用的肌肉测试参数。运用简单的数学程序来处理数据，以找出与健康受试者的强弱肌肉测试相对应的力和位移的潜在模式。特别关注力脉冲的前沿，因为大多数临床医生报告称，他们的大部分评估来自施加在患者肢体上的初始推力。对力脉冲前沿斜率（距离与力）的简单线性回归分析表明，显著大的斜率表明肌肉较弱（如临床医生所感知），而小斜率表明肌肉较强。指定了斜率的阈值标准，以创建一个可以区分强弱肌肉的模型。与有超过5年经验的临床医生的判断相比，该模型在98%的时间内是准确的，但对于经验少于5年的临床医生来说，准确率要低得多（64%）。这一准确率表明该模型在预测临床医生对肌肉力量的感知方面是可靠的，同时也表明应用运动机能学中有经验的临床医生所使用的肌肉力量测试程序是可靠的。该实验为应用运动机能学中肌肉力量评估的客观性研究奠定了基础。
