Quan Jingyu, Uchitomi Hirotaka, Shigeyama Ryo, Gao Chenguang, Ogata Taiki, Inaba Akira, Orimo Satoshi, Miyake Yoshihiro
Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.
Department of Neurology, Kanto Central Hospital, Tokyo, 158-8531, Japan.
Sci Rep. 2024 Oct 3;14(1):22941. doi: 10.1038/s41598-024-74526-x.
High-sensitivity acceleration sensors have been independently developed by our research group to detect vibrations that are > 10 dB smaller than those detected by conventional commercial sensors. This study is the first to measure high-frequency micro-vibrations in muscle fibers, termed micro-mechanomyogram (MMG) in patients with Parkinson's disease (PwPD) using a high-sensitivity acceleration sensor. We specifically measured the extensor pollicis brevis muscle at the base of the thumb in PwPD and healthy controls (HC) and detected not only low-frequency MMG (< 15 Hz) but also micro-MMG (≥ 15 Hz), which was preciously undetectable using commercial acceleration sensors. Analysis revealed remarkable differences in the frequency characteristics of micro-MMG between PwPD and HC. Specifically, during muscle power output, the low-frequency MMG energy was greater in PwPD than in HC, while the micro-MMG energy was smaller in PwPD compared to HC. These results suggest that micro-MMG detected by the high-sensitivity acceleration sensor provides crucial information for distinguishing between PwPD and HC. Moreover, a deep learning model trained on both low-frequency MMG and micro-MMG achieved a high accuracy (92.19%) in classifying PwPD and HC, demonstrating the potential for a diagnostic system for PwPD using micro-MMG.
我们的研究小组自主研发了高灵敏度加速度传感器，用于检测比传统商用传感器检测到的振动小10分贝以上的振动。本研究首次使用高灵敏度加速度传感器测量帕金森病患者（PwPD）肌肉纤维中的高频微振动，即微机械肌电图（MMG）。我们特别测量了PwPD患者和健康对照者（HC）拇指根部的拇短伸肌，不仅检测到了低频MMG（<15Hz），还检测到了微MMG（≥15Hz），而使用商用加速度传感器此前无法检测到微MMG。分析显示，PwPD患者和HC患者的微MMG频率特征存在显著差异。具体而言，在肌肉力量输出期间，PwPD患者的低频MMG能量高于HC患者，而PwPD患者的微MMG能量低于HC患者。这些结果表明，高灵敏度加速度传感器检测到的微MMG为区分PwPD患者和HC患者提供了关键信息。此外，基于低频MMG和微MMG训练的深度学习模型在区分PwPD患者和HC患者方面达到了很高的准确率（92.19%），证明了使用微MMG的PwPD诊断系统的潜力。
