0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessElectromyography (EMG) is a standard procedure used to diagnose a range of neuromuscular pathologies, to investigate motor control disorders, and to study kinesiology and biomechanics. Wearable sensors for surface EMG (sEMG) are composed of single- to few-channel large-area contacts, which exhibit high interfacial impedance and require conductive gels or adhesives to record high-fidelity signals. These devices are also limited in their ability to record activation across large muscle groups due to poor spatial coverage. Typical sEMG involves placing two large-area, metallic contacts over the muscle, recording a bipolar signal, and applying standard filtering techniques to identify global muscle activation following voluntary or evoked muscle contractions. Muscle activation mapping via sEMG is also used for localizing the neuromuscular junction, a common target in chemodener-vation therapies for muscle spasticity.
Brendan B. Murphy, Brendan B. Murphy, Patrick J. Mulcahey, Nicolette Driscoll, Andrew G. Richardson, Nicholas V. Apollo, Kathleen Maleski, Timothy H. Lucas, Yury Gogotsi, Timothy R. Dillingham, Flavia Vitale (2023). A Gel-Free Ti3C2Tx-Based Electrode Array for High-Density, High-Resolution Surface ElectromyographyDOI: https://doi.org/10.1201/9781003306511-45,
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Chapter in a book
Year
2023
Authors
11
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1201/9781003306511-45
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access