Feature-Based Evaluation of a Wearable Surface EMG Sensor Against Laboratory Standard EMG During Force-Varying and Fatiguing Contractions
Feature-Based Evaluation of a Wearable Surface EMG Sensor Against Laboratory Standard EMG During Force-Varying and Fatiguing Contractions
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DOI：
10.1109/jsen.2019.2953354
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发表时间：
2020-03-01
影响因子：
4.3
通讯作者：
Lowery, Madeleine M.
中科院分区：
文献类型：
--
作者：
Doheny, Emer P.;Goulding, Cathy;Lowery, Madeleine M.
可穿戴传感器的最新进展使得能够在实验室外长时间记录肌电图 (EMG)。然而，专为长期记录而设计的可穿戴肌电图系统的特性可能与实验室标准系统的特性不同，可能会影响数据。本研究根据参考实验室系统（Bagnoli，Delsys Inc.）评估了使用可穿戴系统（BioStampRC，MC10 Inc.）记录的信号得出的肌电图特征。使用两个系统同时记录 12 名受试者在肘部等长屈曲期间（最大随意收缩 (MVC) 的 10% 至 80% 之间）以及持续次最大疲劳收缩期间的肱二头肌表面肌电图数据。然后比较两个系统的线性和非线性肌电图时间和频谱特征。未检测到记录系统对 EMG 起始/偏移时间或力与 EMG 均方根振幅之间的关系产生影响。然而，力与中频、百分比决定论和多尺度熵之间的关系在系统之间有所不同。 BioStampRC 的基线噪声也更大。可穿戴系统观察到较低的中值频率，可能是由于电极间距离较大，但是，两者在疲劳收缩期间肌电图振幅和中值频率的相对变化相似。在两个系统的疲劳收缩过程中，百分比决定论增加，多尺度熵减少，可穿戴系统的值分别较高和较低。结果表明 BiostampRC 适用于 EMG 起始/偏移和幅度估计。然而，在跨系统比较时建议谨慎，因为光谱和非线性特征可能因电极设计差异而不同。
Recent advances in wearable sensors enable recording of electromyography (EMG) outside the laboratory for extended periods of time. However, the properties of wearable EMG systems designed for long-term recording may differ from those of laboratory-standard systems, potentially impacting data. This study evaluated EMG features derived from signals recorded using a wearable system (BioStampRC, MC10 Inc.) against a reference laboratory system (Bagnoli, Delsys Inc.). Surface EMG data from the biceps brachii were recorded simultaneously using both systems during isometric elbow flexion, between 10% and 80% of maximum voluntary contraction (MVC), and during sustained submaximal fatiguing contraction, in twelve subjects. Linear and nonlinear EMG temporal and spectral features were then compared across both systems. No effect of recording system was detected on EMG onset/offset times, or on the relationship between force and EMG root mean squared amplitude. However, the relationships between force and median frequency, percentage determinism and multiscale entropy differed between systems. Baseline noise was also greater for the BioStampRC. Lower median frequencies were observed for the wearable system, likely due to the larger interelectrode distance, however, the relative change in EMG amplitude and median frequency during the fatiguing contraction was similar for both. Percentage determinism increased and multiscale entropy decreased during the fatiguing contraction for both systems, with higher and lower values respectively for the wearable system. Results indicate that the BiostampRC is appropriate for EMG onset/offset and amplitude estimation. However, caution is advised when comparing across systems as spectral and nonlinear features may differ due to electrode design differences.