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An Implantable System For Chronic In Vivo Electromyography
Published on: April 21, 2020
Improved surface EMG electrode for measuring genioglossus muscle activity.
Ciara M O'Connor1, Madeleine M Lowery, Liam S Doherty
1School of Electrical, Electronic & Mechanical Engineering, University College Dublin, Belfield, Dublin 4, Ireland. ciara@ee.ucd.ie
Respiratory Physiology & Neurobiology
|August 21, 2007
Summary
A new electrode design improves genioglossus (GG) surface electromyogram (sEMG) recordings for studying obstructive sleep apnea (OSA). This enhanced method offers more reliable data on GG muscle function and fatigue in OSA pathogenesis.
Area of Science:
- Biomedical Engineering
- Respiratory Physiology
- Sleep Medicine
Background:
- Genioglossus (GG) muscle activation is crucial for maintaining upper airway patency.
- Obstructive sleep apnea (OSA) involves a failure of this mechanism, with the role of muscle fatigue not fully understood.
- Current methods for recording GG surface electromyogram (sEMG) have limitations.
Purpose of the Study:
- To present and evaluate a novel electrode design for recording GG sEMG.
- To compare the new unilateral Ag-AgCl electrode design against the traditional bilateral stainless steel configuration.
- To assess the suitability of the new design for studying GG function and fatigue in OSA.
Main Methods:
- Development of a new unilateral Ag-AgCl electrode for GG sEMG.
- Evaluation through force-varying and fatiguing contractions in human subjects.
- Validation using GG sEMG model simulations.
Main Results:
- The unilateral configuration yielded lower amplitude and frequency content compared to bilateral.
- The new design demonstrated greater selectivity and overcame disadvantages of the bilateral setup.
- Ag-AgCl material provided more favorable impedance and higher signal amplitudes.
Conclusions:
- The novel unilateral Ag-AgCl electrode design is more suitable for GG sEMG detection.
- This improved methodology allows for more reliable interpretation of GG sEMG changes.
- It provides a new tool for investigating GG function and the role of fatigue in OSA.

