Ibitoye Morufu Olusola, Hamzaid Nur Azah, Zuniga Jorge M, Abdul Wahab Ahmad Khairi
Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Biomedical Engineering, Faculty of Engineering and Technology, University of Ilorin, P. M. B. 1515 Ilorin, Nigeria.
Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Clin Biomech (Bristol). 2014 Jun;29(6):691-704. doi: 10.1016/j.clinbiomech.2014.04.003. Epub 2014 Apr 16.
Previous studies have explored to saturation the efficacy of the conventional signal (such as electromyogram) for muscle function assessment and found its clinical impact limited. Increasing demand for reliable muscle function assessment modalities continues to prompt further investigation into other complementary alternatives. Application of mechanomyographic signal to quantify muscle performance has been proposed due to its inherent mechanical nature and ability to assess muscle function non-invasively while preserving muscular neurophysiologic information. Mechanomyogram is gaining accelerated applications in evaluating the properties of muscle under voluntary and evoked muscle contraction with prospects in clinical practices. As a complementary modality and the mechanical counterpart to electromyogram; mechanomyogram has gained significant acceptance in analysis of isometric and dynamic muscle actions. Substantial studies have also documented the effectiveness of mechanomyographic signal to assess muscle performance but none involved comprehensive appraisal of the state of the art applications with highlights on the future prospect and potential integration into the clinical practices. Motivated by the dearth of such critical review, we assessed the literature to investigate its principle of acquisition, current applications, challenges and future directions. Based on our findings, the importance of rigorous scientific and clinical validation of the signal is highlighted. It is also evident that as a robust complement to electromyogram, mechanomyographic signal may possess unprecedented potentials and further investigation will be enlightening.
以往的研究已对传统信号（如肌电图）用于肌肉功能评估的功效进行了充分探索，发现其临床影响有限。对可靠的肌肉功能评估方式的需求不断增加，这继续促使人们进一步研究其他补充性替代方法。由于机械肌电图信号具有内在的机械特性，并且能够在保留肌肉神经生理信息的同时无创地评估肌肉功能，因此已有人提出应用该信号来量化肌肉性能。机械肌电图在评估自主和诱发肌肉收缩时的肌肉特性方面正得到越来越广泛的应用，具有临床应用前景。作为一种补充方式以及肌电图的机械对应物，机械肌电图在等长和动态肌肉动作分析中已获得广泛认可。大量研究也记录了机械肌电图信号评估肌肉性能的有效性，但尚无研究对其当前应用的最新情况进行全面评估，也未突出其未来前景以及与临床实践的潜在整合。鉴于缺乏此类关键综述，我们对文献进行了评估，以研究其采集原理、当前应用、挑战及未来方向。基于我们的研究结果，强调了对该信号进行严格科学和临床验证的重要性。同样明显的是，作为肌电图的有力补充，机械肌电图信号可能具有前所未有的潜力，进一步的研究将具有启发性。
