优势手疲劳前后热谱的红外成像分析

A. Balaji, N. Makaram, Sriram Balasubramanian, S. Ramakrishnan
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引用次数: 3

摘要

尽管人类广泛使用优势手,但很少有人监测上肢肌肉骨骼疾病发展方面的手的身体健康。手掌区域的大多数肌肉是固有的,因此无创肌电图测量提供的信息很少。在这项研究中,我们尝试使用红外热成像技术来量化手部疲劳前后热剖面的变化。测试对象使用基于手掌等距收缩的捏握,直到疲劳。使用Meditherm IRIS红外相机获取基线和疲劳后热图像。对图像进行分割,从背景中勾画出优势手。从分割后的图像中提取平均温度和峰度等特征。结果表明,每个受试者的手的热剖面所描绘的强度有很大的变化。手掌温度中位数下降1.22%。同样,疲劳后检测到手背温度降低1.17%。疲劳后手掌和手背的热剖面峰度分别增加5.39%和6.63%。对这些特征进行统计学生t检验表明,平均温度下降无统计学意义(P>0.05);峰度升高有统计学意义(P<0.05)。红外热成像似乎是一个很有前途的工具,以测量激活状态的肌肉群使用热剖面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging
Despite humans' extensive usage of the dominant hand, little has been done to monitor the hand's physical health in terms of development of Upper Extremity Musculoskeletal Disorders. Most of the muscles in the palmar region of the hand are intrinsic, and hence noninvasive EMG measurements give minimal information. In this study, an attempt is made to quantify the variations in thermal profile of the hand pre- and post- fatigue using infrared thermography. Subjects are tested using pinch grip based isometric contraction of the hand until fatigue. Baseline and post-fatigue thermal images are acquired using a Meditherm IRIS infrared camera. The process of image segmentation is carried out to delineate the dominant hand from the background. Features such as average temperature and kurtosis are extracted from the segmented images. Results show that there are wide variations in the intensities depicted by the thermal profile of each subject's hand. A decrease of 1.22% in median hand temperature of the palmar hand is observed. Similarly, a 1.17% reduction in temperature of the dorsal hand is detected post-fatigue. The kurtosis of the thermal profiles increases by 5.39% in the palmar hand and 6.63% in the dorsal hand post-fatigue. The statistical Student T-test performed on these features indicate that the decrease in average temperature is non-statistically significant (P>0.05); however, the increase in kurtosis is statistically significant (P<0.05). Infrared thermography appears to be a promising tool to measure the state of activation of muscle groups using thermal profiles.
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