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Electromyogram

Original Editor - Ahmet Kocyigit

Top Contributors - Ahmet Kocyigit, Nehal Shah, Angeliki Chorti and Kim Jackson

Introduction

Electromyography is an electrodiagnostic process in which the electrical signals of the muscles are captured via an electrode. [1] Electromyography involves testing a muscle using two main types of electrodes (surface, needle) depending upon the protocol to be employed for that particular condition. [2]

Electrical signals from the muscles represent anatomical and physiological properties of the muscle, produced during muscle contraction in a normal muscle and even at rest in an abnormal muscle and are controlled by the nervous system. [3] EMG tests can provide data about the impulses from the nerves responsible for contraction and the reactions of the muscle fibres to the said impulses. [4] Depending on the device used, the resulting raw data can be exported as a graph called an electromyograph, therefore in some cases giving the name electromyography to the original test.

Electromyography (EMG) is one of the many electrodiagnostic tests conducted to study the electrical activity within a muscle that helps in understanding the pathology of a neuromuscular disorder. Typically, EMG is combined with Nerve Conduction Studies (NCSs) to make the conclusion regarding the physiological status of the neuromuscular system and confirm a diagnosis. [5] Interpretation of these studies has to be correlated with a thorough clinical assessment to make a final diagnosis. It is imperative to have formulated differential diagnosis with a thorough evaluation and other laboratory investigations before performing EMG / NCS tests.

[6]

Electromyography can be used for:

  • Clinical diagnosis (nerve conduction studies and needle EMG) [7] [8]
  • Preventive and rehabilitative purposes e.g. Biofeedback (surface EMG) [9][10]
  • Research purposes [11]

Uses of EMG

EMG in Diagnosis

EMG helps diagnose the exact location, extent, and severity of a nerve lesion, status and level of nerve regeneration; its focus is on the integrity and functionality of the peripheral nervous system pathway. [5]

Clinical EMG studies are used to diagnose various conditions like: [5]

Techniques of performing EMG studies

EMG studies can be done by using:

  • Surface Electrodes
  • Needle Electrodes

Surface EMG (sEMG)

Surface electrodes are noninvasive electrodes which are placed over the muscles to record myoelectric signals. Surface measurements of muscle activity are generally reserved for research purposes. Using an adhesive electrode on the skin over the targeted area enables an easier test. However, a singular superficial electrode measurement picks up signals from multiple muscle fibres and all the tissue in between, compromising signal integrity thus making it non-viable for diagnostic uses. [12]

[13]

Needle EMG

This technique involves inserting a needle electrode into the muscle which needs to be tested. The needle can be relocated to a different site in the same muscle or a different muscle as needed. There are three subtypes of needle electrodes: mono-polar single electrodes, single-fiber EMG electrodes, and concentric-EMG electrodes. [2] Due to the proximity of the needle to the muscle surface, this is a more accurate and reliable method used for clinical diagnostic purposes. This needs rigorous training and certification before one can start performing this technique. Needle EMG is the preferred method for diagnostic purposes due to being more targeted and reliable than a surface electrode. Although the process is considered safe, the potential risks of pain, bleeding, infection, and pneumothorax remain as a result of the needle being used. [14]

Stages of performing clinical EMG studies

Clinical EMG studies are usually performed using needle electrodes and can be performed and analysed in three stages:

  • Spontaneous Activity - Analysing EMG activity while the muscle is at rest. Normally a relaxed muscle does not display any activity on the screen. But in a diseased muscle, electrical activities are produced even at rest called Spontaneous Activity and it is an abnormal finding. Different types of Spontaneous Activity are detected in different conditions and depending upon thepresence of a particular activity, a diagnosis is confirmed. Spontaneous Activity consists of:
    • Fibrillation Potentials
    • Positive Sharp Waves
    • Complex Repetitive Discharges
    • Fasciculation Potentials
    • Neuromyotonia
    • Myokymia
    • Cramps
  • Voluntary Activity - Gentle contraction of a muscle is performed. This shows Motor Unit Action Potentials which are analysed for shape, amplitude, duration and frequency
  • Interference Pattern - The patient is instructed to perform a strong isometric contraction which produces a dense pattern of overlapping MUAPs called Interference Pattern.

EMG in Prevention & Rehabilitation

Electromyography has also found uses within certain fields of rehabilitation, biofeedback therapy being one of them. [9] [10] Conditioning of biological action is a proven concept. This approach has been successfully used with visual and auditory feedback in the past, and converting the outputs of an electromyograph into similar feedback had varying degrees of success in coordinating muscle movement for the muscles of the pelvic floor. [15] The same principle also showed promise for patients with recent knee surgeries although to a lesser extent. [16] Alternative uses for the surface variance of EMG have also been tested to find mixed results, one of them being the inspiratory muscles. [17]

EMG has also been successfuly used in risk prevention and ergonomic evaluations, [18] [19] [20] [21] sports performance improvement [22], and neurorehabilitation. [23]

EMG in Research

Electrophysiological properties of the human body are still a subject of vigorous study due to the intricacies and complexity of the nervous system as a whole. EMG has been proven to be an invaluable tool in collecting data and helped build some of the current concepts of the musculoskeletal system in the literature. As research progresses, combined use of EMG with other types of electrodiagnostic tools resulted in a vast array of studies to discover and evaluate new approaches for rehabilitation such as motor imagery and sensorial feedback. [24] Studies aiming to implement EMG in more specific areas such as activities of daily living have also been prevalent, especially with the progress of technological adaptations of EMG. [25]

Limitations

EMG gives easy access to understand physiological processes related to muscle movement, force generation by a muscle and many such muscle functions. Hence, EMG provides many important information regarding muscle state and function. As a result, EMG studies can be abused easily.[26]

  1. Adipose tissue can affect the recordings of a surface EMG.
  2. Surface EMG can measure only superficial muscles.
  3. Needle EMG involves voluntary activation of muscles, so can be less effective in unresponsive/uncooperative patients, paralysed patients, children and infants.

Technological Research and Development

Thanks to the multidisciplinary research on the subject, EMG has not remained only to be a clinical testing device. From gait analysis [27] to wheelchairs using a human-machine interface with EMG sensors [28] this technology proved to be an exciting prospect. This potential also paved the way for sensor technology to become more accessible and less costly. [29]

While it is impossible to refuse the fact that the problems of objectivity undoubtedly increased proportionally with the ease of access to these devices [12], it also allowed for many new areas and approaches to come to life in the field of rehabilitation, much like the 3d printing technology.

References

  1. ↑ Kiene J, Hiett A. Physiological Principles Underlying Electrodiagnosis and Neurophysiologic Testing.
  2. ↑ 2.0 2.1 Gohel V, Mehendale N. Review on electromyography signal acquisition and processing. Biophys Rev. 2020 Nov 10;12(6):1361–7.
  3. ↑ Chowdhury RH, Reaz MB, Ali MA, Bakar AA, Chellappan K, Chang TG. Surface electromyography signal processing and classification techniques. Sensors. 2013 Sep;13(9):12431-66.
  4. ↑ Chowdhury RH, Reaz MB, Ali MA, Bakar AA, Chellappan K, Chang TG. Surface electromyography signal processing and classification techniques. Sensors. 2013 Sep;13(9):12431-66.
  5. ↑ 5.0 5.1 5.2 Ramani PK, Lui F, Arya K. Nerve Conduction Studies and Electromyography. [Updated 2025 Feb 10]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK611987/
  6. ↑ HattiesburgClinic. What to expect: EMG/Nerve Conduction Study. Available from: https://www.youtube.com/watch?v=xdKwSymCpws [accessed 29/6/2025]
  7. ↑ Smith BE. What good is EMG to the patient and practitioner? Semin Neurol. 2003 Sep;23(3):335-42.
  8. ↑ Katirji B. The clinical electromyography examination. An overview. Neurol Clin. 2002 May;20(2):291-303, v.
  9. ↑ 9.0 9.1 Gámez AB, Hernandez Morante JJ, Martínez Gil JL, Esparza F, Martínez CM. The effect of surface electromyography biofeedback on the activity of extensor and dorsiflexor muscles in elderly adults: a randomized trial. Sci Rep. 2019 Sep 11;9(1):13153.
  10. ↑ 10.0 10.1 Sadora J, Vilsmark E, Bashara A, Burton D, Paschali M, Pester B, Curiel M, Edwards R, Lazaridou A. Electromyography-biofeedback for chronic low back pain: A qualitative cohort study. Complement Ther Med. 2023 May;73:102922.
  11. ↑ Gilmore KL, Meyers JE. Using surface electromyography in physiotherapy research. Aust J Physiother. 1983 Feb;29(1):3-9.
  12. ↑ 12.0 12.1 Felici F, Del Vecchio A. Surface electromyography: what limits its use in exercise and sport physiology?. Front Neurol. 2020 Nov 6;11:578504.
  13. ↑ Ungar-Sargon J. Behind The Scenes: EMG Test. Available from: https://www.youtube.com/watch?v=KmnMOWwAi8w [accessed 29/6/2025]
  14. ↑ Rubin DI. Needle electromyography: Basic concepts. Handb Clin Neurol. 2019 Jan 1;160:243-56.
  15. ↑ Patcharatrakul T, Pitisuttithum P, Rao SSC, Gonlachanvit S. Chapter 37 - Biofeedback therapy. In: Rao SSC, Lee YY, Ghoshal UC (eds). Clinical and Basic Neurogastroenterology and Motility [Internet]. Academic Press; 2020 [cited 2022 Nov 28].517–32. Available from: https://www.sciencedirect.com/science/article/pii/B9780128130377000376
  16. ↑ Xie YJ, Wang S, Gong QJ, Wang JX, Sun FH, Miyamoto A, et al. Effects of electromyography biofeedback for patients after knee surgery: A systematic review and meta-analysis. J Biomech. 2021 May 7;120:110386.
  17. ↑ Dos Reis IMM, Ohara DG, Januário LB, Basso-Vanelli RP, Oliveira AB, Jamami M. Surface electromyography in inspiratory muscles in adults and elderly individuals: A systematic review. J Electromyogr Kinesiol. 2019 Feb;44:139–55.
  18. ↑ Kinali G, Kara S, Yıldırım MS. Electromyographic analysis of an ergonomic risk factor: overhead work. J Phys Ther Sci. 2016 Jun;28(6):1924-7.
  19. ↑ Ranavolo A, Serrao M, Draicchio F. Critical Issues and Imminent Challenges in the Use of sEMG in Return-To-Work Rehabilitation of Patients Affected by Neurological Disorders in the Epoch of Human-Robot Collaborative Technologies. Front Neurol. 2020 Dec 22;11:572069.
  20. ↑ Roggio F, Vitale E, Filetti V, Rapisarda V, Musumeci G, Romano E. Ergonomic Evaluation of Young Agricultural Operators Using Handle Equipment Through Electromyography and Vibrations Analysis Between the Fingers. Saf Health Work. 2022 Dec;13(4):440-7.
  21. ↑ Garosi E, Kazemi Z, Mazloumi A, Keihani A. Changes in Neck and Shoulder Muscles Fatigue Threshold When Using a Passive Head/Neck Supporting Exoskeleton During Repetitive Overhead Tasks. Hum Factors. 2024 Oct;66(10):2269-2282.
  22. ↑ Fernández-Lázaro D, Mielgo-Ayuso J, Adams DP, González-Bernal JJ, Araque AF, Cano García A, Fernández-Lázaro CI. Electromyography: A Simple and Accessible Tool to Assess Physical Performance and Health during Hypoxia Training. A Systematic Review. Sustainability. 2020; 12: 9137.
  23. ↑ Al-Ayyad M, Abu Owida H, De Fazio R, Al-Naami B, Visconti P. Electromyography Monitoring Systems in Rehabilitation: A Review of Clinical Applications, Wearable Devices and Signal Acquisition Methodologies. Electronics. 2023; 12(7):1520.
  24. ↑ Brambilla C, Pirovano I, Mira RM, Rizzo G, Scano A, Mastropietro A. Combined Use of EMG and EEG Techniques for Neuromotor Assessment in Rehabilitative Applications: A Systematic Review. Sensors (Basel). 2021 Oct 22;21(21):7014.
  25. ↑ Jarque-Bou NJ, Sancho-Bru JL, Vergara M. A Systematic Review of EMG Applications for the Characterization of Forearm and Hand Muscle Activity during Activities of Daily Living: Results, Challenges, and Open Issues. Sensors (Basel). 2021 Apr 26;21(9):3035.
  26. ↑ De Luca CJ. The use of surface electromyography in biomechanics. J Appl Biomech. 1997 May 1;13(2):135-63.
  27. ↑ Nandy A, Chakraborty S, Chakraborty J, Venture G. 8 - A low-cost electromyography (EMG) sensor-based gait activity analysis. In: Nandy A, Chakraborty S, Chakraborty J, Venture G. (eds). Modern Methods for Affordable Clinical Gait Analysis [Internet]. Academic Press; 2021 [cited 2022 Nov 28]. p. 101–27. Available from: https://www.sciencedirect.com/science/article/pii/B9780323852456000102
  28. ↑ Kaur A. Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review. J Med Eng Technol. 2021 Jan;45(1):61–74.
  29. ↑ Clark RA, Thilarajah S, Williams G, Kahn M, Heywood S, Tan HH, et al. Chapter 1 - Kits for wearable sensor systems: exploring software and hardware system design, building guides, and opportunities for clinical rehabilitation. In: Godfrey A, Stuart S, editors. Digital Health [Internet]. Academic Press; 2021 [cited 2022 Nov 28]. 1–25. Available from: https://www.sciencedirect.com/science/article/pii/B9780128189146000107