Dual‐Modal Stretchable Sensing Patches for In Situ Monitoring of Electromyography and Acoustic Myography

Abstract Electromyography (EMG) and acoustic myography (AMG) play crucial roles in assessing muscle function, providing valuable insights into neural control, muscle activation, and fatigue levels. However, the current landscape reveals a gap in dual‐modal stretchable sensing patches, highlighting the need for comfortable and wearable solutions in the field of in situ monitoring of synchronous EMG and AMG sensing. In this work, a dual‐modal stretchable patch (DMSP) is developed that fully integrates a multi‐channel EMG electrode with AMG sensors. It possesses stable electromechanical properties even at strains exceeding 200%. With an overall modulus of under 40 kPa and a skin adhesion force surpassing 30 N m −1 , the DMSP exhibits exceptional durability, enduring 1000 stretching cycles. The DMSP enables in situ simultaneous monitoring of EMG and AMG signals from sternocleidomastoid muscle during neck rotation where the mechanical strain reaches up to 30%. The DMSP proves instrumental in characterizing muscle activity, facilitating in‐depth research on muscle movement, and thus enhancing clinical outcomes in rehabilitation medicine and physical therapy.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2024-08-21
DOI
https://doi.org/10.1002/adfm.202409780
Citations
16
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.95

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual‐Modal Stretchable Sensing Patches for In Situ Monitoring of Electromyography and Acoustic Myography

Changtao Hu, Xuhe Gao, Qiong Tian, Peng Fang et al.
16 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
2.95
article

Dual‐Modal Stretchable Sensing Patches for In Situ Monitoring of Electromyography and Acoustic Myography

Changtao Hu, Xuhe Gao, Qiong Tian, Peng Fang, Ruijie Xie, Hanfei Li, Zhiyuan Liu, Tengfei Li, Fei Han, Zhibo Zhang, Guanglin Li, Qingsong Li, Hang Zhao, Jianhong Gong
article en
16 citations

Abstract

Abstract Electromyography (EMG) and acoustic myography (AMG) play crucial roles in assessing muscle function, providing valuable insights into neural control, muscle activation, and fatigue levels. However, the current landscape reveals a gap in dual‐modal stretchable sensing patches, highlighting the need for comfortable and wearable solutions in the field of in situ monitoring of synchronous EMG and AMG sensing. In this work, a dual‐modal stretchable patch (DMSP) is developed that fully integrates a multi‐channel EMG electrode with AMG sensors. It possesses stable electromechanical properties even at strains exceeding 200%. With an overall modulus of under 40 kPa and a skin adhesion force surpassing 30 N m −1 , the DMSP exhibits exceptional durability, enduring 1000 stretching cycles. The DMSP enables in situ simultaneous monitoring of EMG and AMG signals from sternocleidomastoid muscle during neck rotation where the mechanical strain reaches up to 30%. The DMSP proves instrumental in characterizing muscle activity, facilitating in‐depth research on muscle movement, and thus enhancing clinical outcomes in rehabilitation medicine and physical therapy.

Advanced Functional MaterialsVol. 34(51)
Shandong University (CN), Xiamen University (CN), Chinese Academy of Sciences (CN), Southern University of Science and Technology (CN), Huafon Group (China) (CN), Shenzhen Institutes of Advanced Technology (CN), Shandong First Medical University (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Shenzhen Science and Technology Innovation Program
Good health and well-being
Openalex Percentile: Top 9%
Advanced Sensor and Energy Harvesting Materials
2.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.