Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. A Gel-Free Ti3C2Tx-Based Electrode Array for High-Density, High-Resolution Surface Electromyography

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Chapter in a book
en
2023

A Gel-Free Ti3C2Tx-Based Electrode Array for High-Density, High-Resolution Surface Electromyography

0 Datasets

0 Files

en
2023
DOI: 10.1201/9781003306511-45

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Yury Gogotsi
Yury Gogotsi

Institution not specified

Verified
Brendan B. Murphy
Brendan B. Murphy
Patrick J. Mulcahey
+8 more

Abstract

Electromyography (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.

How to cite this publication

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,

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Chapter in a book

Year

2023

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1201/9781003306511-45

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access