华西口腔医学杂志 ›› 2025, Vol. 43 ›› Issue (3): 346-353.doi: 10.7518/hxkq.2024.2024407

• 基础研究 • 上一篇    下一篇

自主研发无线表面肌电系统对咀嚼肌功能活动的评价研究

李文博1(), 朱玉佳2, 秦庆钊2, 单珅瑶1, 高梓翔2, 温奥楠2, 王勇2(), 赵一姣1()   

  1. 1.北京大学医学部医学技术研究院,北京 100191
    2.北京大学口腔医学院·口腔医院,数字化研究中心/口腔修复教研室 国家口腔医学中心 国家口腔疾病临床医学研究中心 口腔生物材料和数字诊疗装备国家工程研究中心 国家卫生健康委口腔数字医学重点实验室 口腔数字医学北京市重点实验室,北京 100081
  • 收稿日期:2024-11-07 修回日期:2025-04-29 出版日期:2025-06-01 发布日期:2025-06-10
  • 通讯作者: 王勇,赵一姣 E-mail:liwenb@pku.edu.cn;kqcadc@bjmu.edu.cn;kqcadcs@bjmu.edu.cn
  • 作者简介:李文博,硕士,E-mail:liwenb@pku.edu.cn
  • 基金资助:
    北京市自然科学基金-海淀原始创新联合基金(L2321-00);国家自然科学基金(82271039);科技部重点研发计划课题(2022YFC2405401)

Evaluation of the function and activity of masticatory muscles using a self-developed wireless surface electromyography system

Li Wenbo1(), Zhu Yujia2, Qin Qingzhao2, Shan Shenyao1, Gao Zixiang2, Wen Aonan2, Wang Yong2(), Zhao Yijiao1()   

  1. 1.Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
    2.Center of Digital Dentistry/Dept. of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & NHC Key Laboratory of Digital Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
  • Received:2024-11-07 Revised:2025-04-29 Online:2025-06-01 Published:2025-06-10
  • Contact: Wang Yong,Zhao Yijiao E-mail:liwenb@pku.edu.cn;kqcadc@bjmu.edu.cn;kqcadcs@bjmu.edu.cn
  • Supported by:
    Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund(L232100);National Natural Science Foundation of China(82271039);Key R&D Program of the Ministry of Science and Technology(2022YFC2405401)

摘要:

目的 本研究旨在评价自主研发的国产化口腔无线表面肌电监测系统(Oralmetry表面肌电仪)在颞肌和咬肌活动评估中的可重复性和一致性,为其临床应用提供理论支持。 方法 招募22名志愿者,分别使用自主研发的Oralmetry表面肌电仪和2台商品化的表面肌电仪(Zebris、Teethan表面肌电仪)重复多次采集志愿者紧咬牙状态下双侧颞肌前束和咬肌的表面肌电(sEMG)信号。对采集的sEMG进行滤波、筛选、标准化处理,并计算7项用于评价咀嚼肌功能的sEMG指标。使用组内相关系数(ICC)评估3台表面肌电仪测量结果的可重复性,并通过统计学分析对比3台表面肌电仪获得的7项sEMG指标的一致性。 结果 针对22名受试者,3台表面肌电仪重复测量输出数值的ICC均介于0.88~0.99之间。Zebris表面肌电仪获得的前后系数、百分比重叠系数(咬肌、颞肌)等3项sEMG指标与Oralmetry表面肌电仪和Teethan表面肌电仪2台设备的测量结果间差异存在统计学意义(P<0.05)。Oralmetry表面肌电仪和Teethan表面肌电仪获得的7项sEMG指标差异均无统计学意义。 结论 Oralmetry表面肌电仪与2台商品化的表面肌电仪在获取用于评价咀嚼肌功能的各项sEMG指标的表现时,各自均表现出较好的可重复性,但其ICC在三者中表现最优。3台表面肌电仪测量的sEMG指标间也表现出较好的一致性,尤其2台无线表面肌电仪(Oralmetry和Teethan)的测量指标结果表现出高度的一致性。上述结果为Oralmetry表面肌电仪的临床应用提供了理论依据。

关键词: 表面肌电仪, 肌电信号, 咀嚼肌, 颞肌, 咬肌

Abstract:

Objective This study aimed to evaluate the repeatability and reliability of a self-developed domestic wireless surface electromyography (sEMG) system (Oralmetry) in assessing the activity of the temporalis and masseter muscles to provide theoretical support for its clinical application. Methods Twenty-two volunteers were recruited. Through multiple repeated measurements, the sEMG signals of bilateral anterior temporalis and masseter muscles during maximum voluntary clenching were collected using the self-developed sEMG device, Oralmetry, and two commercial sEMG devices (Zebris and Teethan), filtered, screened, and standardized. Seven sEMG indicators for assessing masticatory muscle function were calculated. The intraclass correlation coefficient (ICC) was used to evaluate the repeatability of the measurements from the three sEMG devices, and statistical analysis was conducted to compare the consistency of the seven sEMG indicators obtained from the devices. Results Among the 22 participants, the ICC values of the repeated measurements from the three sEMG devices ranged from 0.88 to 0.99. The measurements of three sEMG indicators (antero-posterior coeffificient, percentage overlapping coeffificient_MM, and percentage overlapping coeffificient_TA) obtained by Zebris were significantly different from those obtained by Oralmetry and Teethan (P<0.05). No significant differences in the measurements of the seven sEMG indicators were found between Oralmetry and Teethan. Conclusion Oralmetry and the two commercial sEMG devices demonstrated good repeatability in capturing sEMG indicators for evaluating masticatory muscle function. In particular, Oralmetry showed the highest ICC values. All three devices also exhibited good consistency in measuring sEMG indicators, and a high agreement was observed between the two wireless sEMG devices (Oralmetry and Teethan). These findings provide theoretical support for the clinical application of Oralmetry.

Key words: surface electromyography device, electromyographic signals, masticatory muscle, temporalis muscle, masseter muscle

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