{ "id": "epj51q12vt", "slug": "facial-electromyography", "title": "Facial electromyography", "updated": "2026-10-15", "topic_path": [ { "id": "life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/topics/life" }, { "id": "life.health", "label": "Human health and medicine", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health" }, { "id": "life.health.clinical", "label": "Clinical assessment and procedures", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical" }, { "id": "life.health.clinical.clinical-diagnostics", "label": "Diagnosis and clinical assessment", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical.clinical-diagnostics" }, { "id": "life.health.clinical.clinical-diagnostics.gastrointestinal-motility-and-manometry", "label": "Gastrointestinal motility and manometry", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical.clinical-diagnostics.gastrointestinal-motility-and-manometry" } ], "geo": [ { "id": "geo.nongeo.t1800.life.health.clinical.clinical-diagnostics", "label": "Non-geographic · 1800 to 1945: Diagnosis and clinical assessment", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800.life.health.clinical.clinical-diagnostics", "path": [ { "id": "geo.nongeo", "label": "Non-geographic", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo" }, { "id": "geo.nongeo.t1800", "label": "Non-geographic · 1800 to 1945", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800" }, { "id": "geo.nongeo.t1800.life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800.life" }, { "id": "geo.nongeo.t1800.life.health", "label": "Human health and medicine", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800.life.health" }, { "id": "geo.nongeo.t1800.life.health.clinical", "label": "Clinical assessment and procedures", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800.life.health.clinical" }, { "id": "geo.nongeo.t1800.life.health.clinical.clinical-diagnostics", "label": "Diagnosis and clinical assessment", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800.life.health.clinical.clinical-diagnostics" } ] }, { "id": "geo.nongeo.t1946.life.health.clinical.clinical-diagnostics", "label": "Non-geographic · 1946 to 2000: Diagnosis and clinical assessment", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health.clinical.clinical-diagnostics", "path": [ { "id": "geo.nongeo", "label": "Non-geographic", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo" }, { "id": "geo.nongeo.t1946", "label": "Non-geographic · 1946 to 2000", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946" }, { "id": "geo.nongeo.t1946.life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life" }, { "id": "geo.nongeo.t1946.life.health", "label": "Human health and medicine", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health" }, { "id": "geo.nongeo.t1946.life.health.clinical", "label": "Clinical assessment and procedures", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health.clinical" }, { "id": "geo.nongeo.t1946.life.health.clinical.clinical-diagnostics", "label": "Diagnosis and clinical assessment", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health.clinical.clinical-diagnostics" } ] } ], "excerpt": "Facial electromyography (facial EMG) records the electrical activity of facial muscles with surface or needle electrodes, to diagnose facial palsy and measure emotion in research.", "snippet": "Facial electromyography (facial EMG) records the electrical activity of facial muscles with surface or needle electrodes, to diagnose facial palsy and measure emotion in research.", "node": "life.health.clinical.clinical-diagnostics.gastrointestinal-motility-and-manometry", "markdown": "# Facial electromyography\n\nFacial electromyography (facial EMG) records the electrical activity of facial muscles with surface or needle electrodes, to diagnose disorders of the facial nerve and muscles and to measure facial movement and emotion in research. The signal arises from the summed action potentials of active motor units and is measured in millivolts or microvolts.[1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) Clinically, it is used alongside [electroneurography](https://www.edgepedia.org/electroneurography) to judge degeneration and recovery in facial palsy; in research, it detects contractions too small to be seen by an observer.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) Recent wireless dry-electrode masks record up to 16 channels at 4000 samples per second with 2 µV root-mean-square noise.[3](https://www.nature.com/articles/s41598-024-70205-z)\n\n| Key fact | Detail |\n|---|---|\n| What is recorded | Summed motor unit action potentials, in mV or µV, from depolarisation at the muscle fiber membrane[1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) |\n| Normal facial MUAP | Bi- or triphasic, amplitude 200–500 µV (0.2–0.5 mV; the source prints mV in error), duration about 5–7 ms; zygomaticus up to 1000–2000 µV (1–2 mV)[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) |\n| Standard sampled muscles | Frontalis, orbicularis oculi, orbicularis oris, and zygomaticus for whole-nerve assessment[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) |\n| Diagnostic timing | Most helpful 2–3 weeks after palsy onset; fibrillation potentials or positive sharp waves indicate degeneration[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) |\n| Side-difference threshold | An intra-individual sEMG side difference up to 30% is normal; unilateral palsy shows >30%[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) |\n| Leading limitations | Motion artifact (13.7% of reports), inter-subject variability (13.1%), muscle crosstalk (12.0%)[4](https://www.ovid.com/jnls/annals-of-medicine-and-surgery/fulltext/10.1016/j.amsu.2018.07.006~a-systematic-recurrent-theme-analysis-of-the-reported) |\n| Reference guidelines | Fridlund and Cacioppo's 1986 guidelines on using facial EMG remain the gold standard[1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) |\n\n## How it works\n\nEach contracted muscle generates electricity through the combined action potentials of its active motor units, produced by depolarisation and repolarisation at the muscle fiber membrane.[1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) A needle electrode inserted in the muscle records motor unit action potentials (MUAPs) directly; acute denervation reduces recruitment and produces spontaneous activity, whereas chronic collateral reinnervation commonly enlarges surviving motor units, producing larger, longer, often polyphasic MUAPs.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) A normal facial MUAP is bi- or triphasic with an amplitude of 200–500 µV (0.2–0.5 mV) lasting about 5–7 ms, and a normal zygomaticus MUAP can reach 1000–2000 µV (1–2 mV); the source prints these figures as mV, a unit error.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) • [1](https://www.ncbi.nlm.nih.gov/books/NBK595468/)\n\nSurface electrodes see the same activity after it passes through skin. Epidermal, dermal, and hypodermal tissues act as a spatial low-pass filter, so signal amplitude decays exponentially with distance from the recording electrode; electrode size and inter-electrode distance can be chosen to limit crosstalk.[4](https://www.ovid.com/jnls/annals-of-medicine-and-surgery/fulltext/10.1016/j.amsu.2018.07.006~a-systematic-recurrent-theme-analysis-of-the-reported) Multi-channel surface recordings can be separated by independent component analysis, which improves differentiation between muscles and minimizes or removes crosstalk; sources are accepted as EMG when their power spectral density falls in the typical 25–300 Hz surface EMG range.[5](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0262286)\n\n## How it is done\n\nMuscle selection follows the question. To investigate the whole facial nerve, the recommended muscles are frontalis, orbicularis oculi, orbicularis oris, and zygomaticus, with a reference surface electrode at an electrically inactive site such as the manubrium sterni.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) In psychophysiological work, the usual targets are corrugator supercilii (\"frowning\") and zygomaticus major (\"smiling\"), measured with five electrodes: two per muscle plus a ground.[6](https://www.staff.universiteitleiden.nl/binaries/content/assets/sociale-wetenschappen/faculteitsbureau/solo/research-support-website/collecting-physiological-data/protocol-femg-measurement-20200327.pdf)\n\nEach muscle needs one negative (VIN−) and one positive (VIN+) detecting electrode plus a ground or reference electrode, and baseline recordings are taken because of resting muscle tonus.[1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) Skin impedance is reduced before application by rubbing with a scrub gel such as NuPrep and drying with a clean cotton pad, with disposable gloves worn throughout.[6](https://www.staff.universiteitleiden.nl/binaries/content/assets/sociale-wetenschappen/faculteitsbureau/solo/research-support-website/collecting-physiological-data/protocol-femg-measurement-20200327.pdf) The corrugator pair sits about 2 cm apart just above the eyebrow; the zygomaticus pair lies along the line from the corner of the mouth to the ear, each cavity filled completely with Signa gel without overflow, and the ground goes on the mid-forehead below the hairline.[6](https://www.staff.universiteitleiden.nl/binaries/content/assets/sociale-wetenschappen/faculteitsbureau/solo/research-support-website/collecting-physiological-data/protocol-femg-measurement-20200327.pdf)\n\nInterpretation rests on pattern recognition. Needle insertion normally causes bursts of electrical activity lasting several hundred milliseconds; early nerve injury prolongs this insertional activity.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) Fibrillation potentials or positive sharp waves signal facial nerve degeneration, and from 4–6 weeks after onset, polyphasic reinnervation potentials indicate regeneration.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1)\n\n## Origin\n\nFor research practice, the landmark is \"Guidelines for Human Electromyographic Research\" by Alan J. Fridlund and [John T. Cacioppo](https://www.edgepedia.org/john-t-cacioppo), published in [Psychophysiology](https://www.edgepedia.org/psychophysiology) in 1986, which is still considered the gold standard today.[7](https://doi.org/10.1111/j.1469-8986.1986.tb00676.x) • [1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) On the instrumentation side, a surface electrode array for detecting action potential trains of single motor units was reported by Tadashi Masuda, Hisao Miyano, and Tsugutake Sadoyama in 1985 in [Electroencephalography](https://www.edgepedia.org/electroencephalography) and Clinical Neurophysiology, earlier work that surface arrays built on.[8](https://doi.org/10.1016/0013-4694%2885%2991018-1)\n\nPublished sources disagree on who developed facial electroneurography (ENoG), the companion stimulation-based test.[9](https://lirias.kuleuven.be/retrieve/573874) • [10](https://pmc.ncbi.nlm.nih.gov/articles/PMC7585247/)\n\n## Variants\n\nSurface EMG (sEMG) is non-invasive and painless, allows an unlimited number of muscles to be analyzed simultaneously, and best characterizes a whole muscle and inter-muscular coordination, but it is not used for prognostication.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) It dominates psychological research because it requires no medical training, whereas needle electrodes are more common in medical settings.[1](https://www.ncbi.nlm.nih.gov/books/NBK595468/)\n\nNeedle EMG offers the highest accuracy but is an invasive clinical electrodiagnostic procedure requiring trained physicians and appropriate facilities, and it is therefore used less than surface EMG outside clinical settings.[11](https://iopscience.iop.org/article/10.1088/2516-1091/ace508) High-density sEMG scales the surface approach up: Fridlund and Cacioppo recommended ten facial muscles for psychophysiological experiments, a later scheme recommended 24 sEMG electrodes in an EEG-like arrangement independent of the underlying muscles, and experimental arrays with 90 electrodes, recorded at up to 2,048 Hz in 15 mm-spaced arrays over forehead and cheeks, produce activation maps projected onto the facial surface.[12](https://pmc.ncbi.nlm.nih.gov/articles/PMC8289121/) • [13](https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2020.618985/full) EMG biofeedback lets patients learn to control movements through real-time feedback on muscle activation and is a promising rehabilitation technique for motor palsy; in chronic non-flaccid facial palsy, electrodes over orbicularis oris and zygomatic muscles have been combined with simultaneous video and EMG feedback.[11](https://iopscience.iop.org/article/10.1088/2516-1091/ace508) • [14](https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2026.1759106/full)\n\n## Applications\n\nIn [Bell's palsy](https://www.edgepedia.org/bells-palsy) and traumatic facial nerve injury, EMG is most informative 2–3 weeks after onset, when fibrillation potentials and positive sharp waves reveal degeneration that clinical inspection cannot.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) Prognostically, patients with 90% or greater degeneration on ENoG and absent motor unit potentials on volitional EMG in the acute phase are at high risk of poor recovery and may benefit from surgical decompression.[10](https://pmc.ncbi.nlm.nih.gov/articles/PMC7585247/) ENoG itself records the evoked compound muscle action potential after supramaximal stimulation, typically at the nasolabial fold, and replaced nerve excitability testing and maximal stimulation testing, which depend on patient cooperation and the examiner's visual judgment.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) Quantitative sEMG indices support grading: a side difference up to 30% is normal, and unilateral palsy produces differences above 30%, with typical parameters including mean rectified amplitude, root mean square, and the square root of spectral power.[2](https://link.springer.com/article/10.1007/s00405-020-05949-1) Multi-channel sEMG mapping offers objective profiling that could improve classification of facial nerve dysfunction such as Bell's palsy, where current grading scales depend on subjective observer evaluation.[12](https://pmc.ncbi.nlm.nih.gov/articles/PMC8289121/)\n\nIn psychophysiology, facial EMG measures corrugator supercilii and zygomaticus major activity as objective correlates of emotional state, and it detects contractions not visible to observers, including activity congruent with affective state when participants try to suppress expression.[6](https://www.staff.universiteitleiden.nl/binaries/content/assets/sociale-wetenschappen/faculteitsbureau/solo/research-support-website/collecting-physiological-data/protocol-femg-measurement-20200327.pdf) • [1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) Facial EMG remains a gold standard in clinical research because it provides quantitative, muscle-specific information, and it is used to assess the effectiveness of treatments aimed at restoring facial muscle function.[3](https://www.nature.com/articles/s41598-024-70205-z) Wearable high-resolution facial EMG is now used for diagnostics, biofeedback, and rehabilitation in facial palsy and synkinesis, where muscle-specific information quantifies symptom severity.[11](https://iopscience.iop.org/article/10.1088/2516-1091/ace508) Machine-learning analysis is entering clinical grading: in a prospective study of 55 subjects, at least 5 of 20 EMG time-series parameters were robust indicators of degree of paresis and could guide biofeedback.[15](https://www.mdpi.com/1424-8220/25/9/2949) Silent-speech interfaces are the newest direction: the emg2speech system translates orofacial EMG recorded during articulation directly into audio using self-supervised speech representations.[16](https://aclanthology.org/2026.acl-long.750.pdf)\n\n## Limitations and alternatives\n\nA systematic review of 1,061 reviewed articles found the three most commonly reported limitations were motion artifact (13.7%), inter-subject variability in response and anatomy (13.1%), and muscle crosstalk (12.0%).[4](https://www.ovid.com/jnls/annals-of-medicine-and-surgery/fulltext/10.1016/j.amsu.2018.07.006~a-systematic-recurrent-theme-analysis-of-the-reported) Placement is unforgiving: misplacing an electrode by just 1 cm likely records non-targeted muscles, and surface electrodes are not necessarily muscle-specific, so researchers speak of facial muscle sites rather than specific muscles.[1](https://www.ncbi.nlm.nih.gov/books/NBK595468/) Conventional gel wet electrodes also dry out during recording, lowering the signal-to-noise ratio, and restrict subject motion.[11](https://iopscience.iop.org/article/10.1088/2516-1091/ace508) Objective, motor-unit-based placement guidelines improve signal-to-noise ratio and may reduce crosstalk, which is particularly important in the face.[17](https://onlinelibrary.wiley.com/doi/10.1111/j.1469-8986.2009.00935.x)\n\nAgainst alternatives: computer vision infers muscle activation only indirectly from visible deformation, is insensitive to contractions without visible movement such as jaw clenching, and needs high-resolution unobstructed video; correspondence between sEMG and action-unit-based video analysis varies between participants and sessions.[5](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0262286) ENoG complements rather than replaces EMG, measuring electrically evoked responses while EMG measures volitional ones.[9](https://lirias.kuleuven.be/retrieve/573874) A 2023 systematic review of 15 studies concluded facial sEMG is a potentially useful tool for objective quantification of facial nerve function, but that results are hardly comparable because methods and analysis are heterogeneous, and it called for methodological guidelines followed by large prospective studies.[18](https://pubmed.ncbi.nlm.nih.gov/37716082/)\n\n## References\n\n1. [Chapter 17 Facial EMG – Investigating the Interplay of Facial Muscles and Emotions](https://www.ncbi.nlm.nih.gov/books/NBK595468/)\n2. [Facial nerve electrodiagnostics for patients with facial palsy: a clinical practice guideline](https://link.springer.com/article/10.1007/s00405-020-05949-1)\n3. [Wireless high-resolution surface facial electromyography mask for discrimination of standardized facial expressions in healthy adults](https://www.nature.com/articles/s41598-024-70205-z)\n4. [A systematic recurrent theme analysis of the reported limitations of facial electromyography](https://www.ovid.com/jnls/annals-of-medicine-and-surgery/fulltext/10.1016/j.amsu.2018.07.006~a-systematic-recurrent-theme-analysis-of-the-reported)\n5. [Similarities and disparities between visual analysis and high-resolution electromyography of facial expressions](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0262286)\n6. [Facial Electromyography (fEMG) measurement Protocol (Leiden University)](https://www.staff.universiteitleiden.nl/binaries/content/assets/sociale-wetenschappen/faculteitsbureau/solo/research-support-website/collecting-physiological-data/protocol-femg-measurement-20200327.pdf)\n7. [Alan J. Fridlund, John T. Cacioppo (1986). Guidelines for Human Electromyographic Research. Psychophysiology.](https://doi.org/10.1111/j.1469-8986.1986.tb00676.x)\n8. [A surface electrode array for detecting action potential trains of single motor units (Electroencephalography and Clinical Neurophysiology, 1985)](https://doi.org/10.1016/0013-4694%2885%2991018-1)\n9. [Peripheral facial palsy functional diagnosis (retrieved copy, KU Leuven repository)](https://lirias.kuleuven.be/retrieve/573874)\n10. [Electrodiagnostic testing in acute facial palsy: Outcomes and comparison of methods](https://pmc.ncbi.nlm.nih.gov/articles/PMC7585247/)\n11. [Wearable facial electromyography: in the face of new opportunities](https://iopscience.iop.org/article/10.1088/2516-1091/ace508)\n12. [Atlas of voluntary facial muscle activation: Visualization of surface electromyographic activities of facial muscles during mimic exercises](https://pmc.ncbi.nlm.nih.gov/articles/PMC8289121/)\n13. [Comparison of Facial Muscle Activation Patterns Between Healthy and Bell's Palsy Subjects Using High-Density Surface Electromyography](https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2020.618985/full)\n14. [Retrospective cohort study evaluating patient-reported outcomes following intensive electromyography and video-biofeedback training in chronic non-flaccid facial palsy](https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2026.1759106/full)\n15. [Surface Electromyographic Features for Severity Classification in Facial Palsy: Insights from a German Cohort and Implications for Future Biofeedback Use](https://www.mdpi.com/1424-8220/25/9/2949)\n16. [emg2speech: synthesizing speech from electromyography using self-supervised speech models](https://aclanthology.org/2026.acl-long.750.pdf)\n17. [Optimal placement of bipolar surface EMG electrodes in the face based on single motor unit analysis](https://onlinelibrary.wiley.com/doi/10.1111/j.1469-8986.2009.00935.x)\n18. [Facial surface electromyography: A systematic review on the state of the art and current perspectives](https://pubmed.ncbi.nlm.nih.gov/37716082/)\n\n---\n*Topic: Encyclopedia › Life and health › Human health and medicine › Clinical assessment and procedures › Diagnosis and clinical assessment › Gastrointestinal motility and manometry*\n\n*Initially written Sep 29, 2026 · Edited: Oct 15, 2026*\n\n*Copyright 2026 EdgeChat AI, a subsidiary of Biostate AI.*\n\nLicense: Edgepedia Community License 1.0, https://www.edgepedia.org/edgepedia/license\n", "same_as": [], "url": "https://www.edgepedia.org/facial-electromyography", "markdown_url": "https://www.edgepedia.org/facial-electromyography.md", "license": { "name": "Edgepedia Community License 1.0", "url": "https://www.edgepedia.org/edgepedia/license", "summary": "Free with credit, commercial use included. AI training is open to everyone. For other uses, organizations over USD 100M in revenue or 100M monthly users license separately.", "spdx": "LicenseRef-Edgepedia-Community-1.0" }, "credit": "\"Facial electromyography\", Edgepedia (EdgeChat), https://www.edgepedia.org/facial-electromyography. Edgepedia Community License 1.0.", "credit_md": "\"[Facial electromyography](https://www.edgepedia.org/facial-electromyography)\", Edgepedia (EdgeChat), [https://www.edgepedia.org/facial-electromyography](https://www.edgepedia.org/facial-electromyography). [Edgepedia Community License 1.0](https://www.edgepedia.org/edgepedia/license).", "credit_html": "\"Facial electromyography\", Edgepedia (EdgeChat), https://www.edgepedia.org/facial-electromyography. Edgepedia Community License 1.0.", "speakable": "Facial electromyography records the electrical activity of facial muscles with surface or needle electrodes, to diagnose facial palsy and measure emotion in research." }