佩戴式面部肌电图:面对新机遇

IF 5 Q1 ENGINEERING, BIOMEDICAL Progress in biomedical engineering (Bristol, England) Pub Date : 2023-07-06 DOI:10.1088/2516-1091/ace508
B. Levit, Shira Klorfeld-Auslender, Y. Hanein
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引用次数: 0

摘要

面部肌肉在从咀嚼到交流等一系列生理功能中发挥着重要作用。对其正常功能的任何破坏都可能导致对人类福祉的严重负面影响。在心理学、神经病学、精神病学和整容外科中,广泛的医学疾病和状况都与面部肌肉有关,几十年来的科学探索揭示了许多迷人的现象。例如,大量证据表明面部肌肉的激活与情绪的表达有关。然而,情绪表达的确切方式仍然存在争议:面部表情是否普遍,性别和文化差异如何影响面部表情,面部肌肉激活是否以及如何影响内部情绪状态。表面肌电图(EMG)是直接观察面部肌肉活动的最佳工具之一,可用于医学和研究目的。由于分辨率有限和设置繁琐,表面肌电图的使用迄今为止一直受到限制。目前的技术不方便,干扰受试者的正常行为,并且需要知道如何正确放置电极。基于软皮技术的高密度电极阵列是表面肌电领域的最新发展。它为高信号质量的面部肌电信号(fEMG)打开了大门,同时保持了更自然的环境条件和更高的数据分辨率。多电极记录的信号分析也可以减少串扰,达到单肌肉分辨率。这篇前瞻性的文章提出并讨论了这一技术进步所带来的面部肌肉激活映射的新机遇。本文简要回顾了fEMG的一些主要应用,并介绍了这些应用如何从更精确、更少干扰的技术中受益。
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Wearable facial electromyography: in the face of new opportunities
Facial muscles play an important role in a vast range of physiological functions, ranging from mastication to communication. Any disruption in their normal function may lead to serious negative effects on human well-being. A very wide range of medical disorders and conditions in psychology, neurology, psychiatry, and cosmetic surgery are related to facial muscles, and scientific explorations spanning over decades exposed many fascinating phenomena. For example, expansive evidence implicates facial muscle activation with the expression of emotions. Yet, the exact manner by which emotions are expressed is still debated: whether facial expressions are universal, how gender and cultural differences shape facial expressions and if and how facial muscle activation shape the internal emotional state. Surface electromyography (EMG) is one of the best tools for direct investigation of facial muscle activity and can be applied for medical and research purposes. The use of surface EMG has been so far restricted, owing to limited resolution and cumbersome setups. Current technologies are inconvenient, interfere with the subject normal behavior, and require know-how in proper electrode placement. High density electrode arrays based on soft skin technology is a recent development in the realm of surface EMG. It opens the door to perform facial EMG (fEMG) with high signal quality, while maintaining significantly more natural environmental conditions and higher data resolution. Signal analysis of multi-electrode recordings can also reduce crosstalk to achieve single muscle resolution. This perspective paper presents and discusses new opportunities in mapping facial muscle activation, brought about by this technological advancement. The paper briefly reviews some of the main applications of fEMG and presents how these applications can benefit from a more precise and less intrusive technology.
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9.40
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