目的:吞咽是一项复杂的神经肌肉任务。吞咽过程中规范表面肌电信号的时空数据有限,特别是在标准纹理。我们假设颈前肌电信号的模式在颅尾变化,可以评估侧向性,通过信号分析,可以通过高密度表面肌电图(HDsEMG)来区分推注纹理的分类。
方法:20个电极的HDsEMG网格捕获了8名健康成年受试者的240只吞下的肌电图活动。参与者吞下了五种标准质地:唾液,稀薄的液体,果泥,混合稠度,和干燥的固体。数据经过带通滤波,进行了信号的功能对准,然后放入二元分类器接收器工作特性(ROC)曲线。通过创建二维EMG热图来可视化肌肉活动。
结果:信号分析结果表明,信号幅度与推注结构之间呈正相关。在所有受试者中,与尾部大部分区域相比,阵列的最颅区域的振幅差异更大。阵列的横向比较显示出所有对象和纹理的对称功率水平。ROC曲线证明了在10个纹理比较中的6个中正确分类受试者内的纹理的能力。
结论:这项初步研究表明,在吞咽过程中利用HDsEMG可以无创地区分不同质地的吞咽。这可能证明在未来的诊断和行为吞咽应用中是有用的。
方法:4级喉镜,2023年。
Swallowing is a complex neuromuscular task. There is limited spatiotemporal data on normative surface electromyographic signal during swallow, particularly across standard textures. We hypothesize the pattern of electromyographic signal of the anterior neck varies cranio-caudally, that laterality can be evaluated, and categorization of bolus texture can be differentiated by high-density surface electromyography (HDsEMG) through signal analysis.
An HDsEMG grid of 20 electrodes captured electromyographic activity in eight healthy adult subjects across 240 total swallows. Participants swallowed five standard textures: saliva, thin liquid, puree, mixed consistency, and dry solid. Data were bandpass filtered, underwent functional alignment of signal, and then placed into binary classifier receiver operating characteristic (ROC) curves. Muscular activity was visualized by creating two-dimensional EMG heat maps.
Signal analysis results demonstrated a positive correlation between signal amplitude and bolus texture. Greater differences of amplitude in the cranial most region of the array when compared to the caudal most region were noted in all subjects. Lateral comparison of the array revealed symmetric power levels across all subjects and textures. ROC curves demonstrated the ability to correctly classify textures within subjects in 6 of 10 texture comparisons.
This pilot
study suggests that utilizing HDsEMG during deglutition can noninvasively differentiate swallows of varying texture noninvasively. This may prove useful in future diagnostic and behavioral swallow applications.
4 Laryngoscope, 133:2695-2703, 2023.