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可定制、可重新配置且解剖学协调的大面积、高密度表面肌电绘图电极阵列

Customizable, reconfigurable, and anatomically coordinated large-area, high-density electromyography from drawn-on-skin electrode arrays.

作者信息

Ershad Faheem, Houston Michael, Patel Shubham, Contreras Luis, Koirala Bikram, Lu Yuntao, Rao Zhoulyu, Liu Yang, Dias Nicholas, Haces-Garcia Arturo, Zhu Weihang, Zhang Yingchun, Yu Cunjiang

机构信息

Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16801, USA.

Department of Biomedical Engineering, University of Houston, Houston, TX, 77204, USA.

出版信息

PNAS Nexus. 2023 Jan 11;2(1):pgac291. doi: 10.1093/pnasnexus/pgac291. eCollection 2023 Jan.

Abstract

Accurate anatomical matching for patient-specific electromyographic (EMG) mapping is crucial yet technically challenging in various medical disciplines. The fixed electrode construction of multielectrode arrays (MEAs) makes it nearly impossible to match an individual's unique muscle anatomy. This mismatch between the MEAs and target muscles leads to missing relevant muscle activity, highly redundant data, complicated electrode placement optimization, and inaccuracies in classification algorithms. Here, we present customizable and reconfigurable drawn-on-skin (DoS) MEAs as the first demonstration of high-density EMG mapping from in situ-fabricated electrodes with tunable configurations adapted to subject-specific muscle anatomy. The DoS MEAs show uniform electrical properties and can map EMG activity with high fidelity under skin deformation-induced motion, which stems from the unique and robust skin-electrode interface. They can be used to localize innervation zones (IZs), detect motor unit propagation, and capture EMG signals with consistent quality during large muscle movements. Reconfiguring the electrode arrangement of DoS MEAs to match and extend the coverage of the forearm flexors enables localization of the muscle activity and prevents missed information such as IZs. In addition, DoS MEAs customized to the specific anatomy of subjects produce highly informative data, leading to accurate finger gesture detection and prosthetic control compared with conventional technology.

摘要

在各种医学学科中,针对患者特异性肌电图(EMG)映射进行精确的解剖学匹配至关重要,但在技术上具有挑战性。多电极阵列(MEA)的固定电极结构几乎无法与个体独特的肌肉解剖结构相匹配。MEA与目标肌肉之间的这种不匹配会导致错过相关肌肉活动、数据高度冗余、电极放置优化复杂以及分类算法不准确。在此,我们展示了可定制和可重新配置的皮肤绘制式(DoS)MEA,这是首次展示通过原位制造的电极进行高密度EMG映射,其具有适应个体特定肌肉解剖结构的可调配置。DoS MEA显示出均匀的电学特性,并且在皮肤变形引起的运动下能够以高保真度映射EMG活动,这源于独特且稳健的皮肤 - 电极界面。它们可用于定位神经支配区(IZ)、检测运动单位传播,并在大肌肉运动期间以一致的质量捕获EMG信号。重新配置DoS MEA的电极排列以匹配并扩展前臂屈肌的覆盖范围,能够定位肌肉活动并防止错过诸如IZ等信息。此外,根据受试者的特定解剖结构定制的DoS MEA可产生信息丰富的数据,与传统技术相比,能够实现准确的手指手势检测和假肢控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb90/9837666/25ecae543a48/pgac291fig1.jpg

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