Shimabukuro Satoshi, Miyake Tamon, Tamaki Emi
Graduate School of Engineering and Science, The University of the Ryukyus, Nishihara, JPN.
Future Robotics Organization, Waseda University, Tokyo, JPN.
Cureus. 2024 May 7;16(5):e59801. doi: 10.7759/cureus.59801. eCollection 2024 May.
Training physiotherapists require substantial experience and a lengthy period of time to achieve proficiency. However, establishing an objective method for quantifying the degree of force applied during treatment remains elusive, making training difficult.
This study aims to clarify the difference in the degree of force application between novice and expert physiotherapists using muscle deformation sensors and to assist in teaching.
A muscle deformation sensor array was utilized to capture the muscle bulging (muscle deformation), and the degree of force was visualized. The experiment involved two types of physiotherapy: upper and lower extremity exercises. Subsequently, the muscle deformation value and standard deviations of the muscle deformation data obtained were compared.
Significant differences between novices and experts were observed in forearm muscle deformation values and standard deviations across both types of physiotherapies (p<0.05). Additionally, a distinction was observed in the left lower limb flexor muscles during upper extremity exercise (p<0.05).
The results of this survey showed notable differences in the degree of force application between novices and experts, as demonstrated by our findings. Moreover, these implications extend beyond physiotherapy to sports, hobbies, and the teaching of traditional skills.
培训物理治疗师需要大量经验和较长时间才能达到熟练水平。然而，建立一种客观的方法来量化治疗过程中施加的力的程度仍然很困难，这使得培训变得困难。
本研究旨在使用肌肉变形传感器阐明新手和专家物理治疗师在力的施加程度上的差异，并辅助教学。
利用肌肉变形传感器阵列捕捉肌肉隆起（肌肉变形），并将力的程度可视化。实验涉及两种类型的物理治疗：上肢和下肢运动。随后，比较所获得的肌肉变形值和肌肉变形数据的标准差。
在两种类型的物理治疗中，新手和专家在前臂肌肉变形值和标准差方面均存在显著差异（p<0.05）。此外，在上肢运动期间，左下肢屈肌也存在差异（p<0.05）。
本次调查结果显示，新手和专家在力的施加程度上存在显著差异，正如我们的研究结果所示。此外，这些影响不仅限于物理治疗，还扩展到体育、爱好和传统技能的教学。
