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.

Details

Title
Customizable, reconfigurable, and anatomically coordinated large-area, high-density electromyography from drawn-on-skin electrode arrays
Author
Ershad, Faheem 1   VIAFID ORCID Logo  ; Houston, Michael 2   VIAFID ORCID Logo  ; Patel, Shubham 3   VIAFID ORCID Logo  ; Contreras, Luis 2 ; Koirala, Bikram 4 ; Lu, Yuntao 3 ; Rao, Zhoulyu 3 ; Liu, Yang 2 ; Dias, Nicholas 2 ; Haces-Garcia, Arturo 5 ; Zhu, Weihang 4 ; Zhang, Yingchun 2 ; Yu, Cunjiang 1   VIAFID ORCID Logo 

 Department of Biomedical Engineering, Pennsylvania State University, University Park , PA, 16801, USA 
 Department of Biomedical Engineering, University of Houston , Houston, TX, 77204 , USA 
 Department of Engineering Science and Mechanics, Pennsylvania State University, University Park , PA, 16801, USA 
 Department of Mechanical Engineering, University of Houston , Houston, TX, 77204 , USA 
 Department of Engineering Technology, University of Houston , Houston, TX, 77204 , USA 
Publication year
2023
Publication date
Jan 2023
Publisher
Oxford University Press
e-ISSN
27526542
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3191456185
Copyright
© The Author(s) 2022. Published by Oxford University Press on behalf of National Academy of Sciences. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.