Dictionary Definition
electromyography n : diagnosis of neuromuscular
disorders with the use of an electromyograph
Extensive Definition
Electromyography (EMG) is a technique for
evaluating and recording physiologic properties of muscles at rest
and while contracting. EMG is performed using an instrument
called an electromyograph, to produce a record called an
electromyogram. An electromyograph detects the electrical
potential generated by muscle cells when
these cells contract, and also when the cells are at rest.
Electrical characteristics
The electrical source is the muscle membrane potential of about -70mV. Measured EMG potentials range between less than 50 μV and up to 20 to 30 mV, depending on the muscle under observation.Typical repetition rate of muscle unit firing is
about 7–20 Hz, depending on the size of the muscle (eye
muscles versus seat (gluteal) muscles), previous axonal damage and
other factors. Damage to motor units can be expected at ranges
between 450 and 780 mV.
History
The development of EMG started with Francesco Redi’s documentation in 1666. The document informs that highly specialized muscle of the electric ray fish generates electricity. By 1773, Walsh had been able to demonstrate that Eel fish’s muscle tissue could generate a spark of electricity. In 1792, a publication entitled "De Viribus Electricitatis in Motu Musculari Commentarius" appeared, written by Luigi Galvani, where the author showed that electricity could initiate muscle contractions. Six decades later, in 1849, Dubios-Raymond discovered that it was also possible to record electrical activity during a voluntary muscle contraction. The first recording of this activity was made by Marey in 1890, who also introduced the term electromyography. In 1922, Gasser and Erlanger used an oscilloscope to show the electrical signals from muscles. Because of the stochastic nature of the myoelectric signal, only rough information could be obtained from its observation. The capability of detecting electromyographic signals improved steadily from the 1930s through the 1950s and researchers began to use improved electrodes more widely for the study of muscles. Clinical use of surface EMG (sEMG) for the treatment of more specific disorders began in the 1960s. Hardyck and his researchers were the first (1966) practitioners to use sEMG. In the early 1980s, Cram and Steger introduced a clinical method for scanning a variety of muscles using an EMG sensing device.It is not until the middle of the 1980s that
integration techniques in electrodes had sufficiently advanced to
allow batch production of the required small and lightweight
instrumentation and amplifiers. At present a number of suitable
amplifiers are commercially available. In the early 1980s, cables
became available which produce artifacts in the desired microvolt
range. During the past 15 years, research has resulted in a better
understanding of the properties of surface EMG recording. In recent
years, surface electromyography is increasingly used for recording
from superficial muscles in clinical protocols, where intramuscular
electrodes are used for deep muscle only.
There are many applications for the use of EMG.
EMG is used clinically for the diagnosis of neurological and
neuromuscular problems. It is used diagnostically by gait
laboratories and by clinicians trained in the use of biofeedback or
ergonomic assessment. EMG is also used in many types of research
laboratories, including those involved in biomechanics, motor
control, neuromuscular physiology, movement disorders, postural
control, and physical therapy.
Procedure
To perform intramuscular EMG, a needle electrode is inserted through the skin into the muscle tissue. A trained medical professional (most often a physiatrist, neurologist, chiropractor or physical therapist) observes the electrical activity while inserting the electrode. The insertional activity provides valuable information about the state of the muscle and its innervating nerve. Normal muscles at rest make certain, normal electrical sounds when the needle is inserted into them. Then the electrical activity when the muscle is at rest is studied. Abnormal spontaneous activity might indicate some nerve and/or muscle damage. Then the patient is asked to contract the muscle smoothly. The shape, size and frequency of the resulting motor unit potentials is judged. Then the electrode is retracted a few millimeters, and again the activity is analyzed until at least 10-20 units have been collected. Each electrode track gives only a very local picture of the activity of the whole muscle. Because skeletal muscles differ in the inner structure, the electrode has to be placed at various locations to obtain an accurate study.Intramuscular EMG may be considered too invasive
or too specific in some cases. A surface electrode may be used to
monitor the general picture of muscle activation, as opposed to
the activity of only a few fibres as observed using a needle. This
technique is used in a number of settings; for example, in the
physiotherapy clinic, muscle activation is monitored using surface
EMG and patients have an auditory or visual stimulus to help them
know when they are activating the muscle (biofeedback).
A motor unit is
defined as one motor neuron and all of the muscle fibers it
innervates. When a motor unit fires, the impulse (called an
action
potential) is carried down the motor neuron to the muscle. The
area where the nerve contacts the muscle is called the
neuromuscular junction, or the motor end plate. After the action
potential is transmitted across the neuromuscular junction, an
action potential is elicited in all of the innervated muscle fibers
of that particular motor unit. The sum of all this electrical
activity is known as a motor unit action potential (MUAP). This
electrophysiologic activity from multiple motor units is the signal
typically evaluated during an EMG. The composition of the motor
unit, the number of muscle fibres per motor unit, the metabolic
type of muscle fibres and many other factors affect the shape of
the motor unit potentials in the myogram.
Nerve
conduction testing is also often done at the same time as an
EMG in order to diagnose neurological diseases.
Patients can occasionally find the procedure
somewhat painful while others experience only a small amount of
discomfort when the needle is inserted. The muscle or muscles being
tested may be slightly sore for a day or two after the
procedure.
Normal results
Muscle tissue at rest is normally electrically inactive. After the electrical activity caused by the irritation of needle insertion subsides, the electromyograph should detect no abnormal spontaneous activity (i.e. a muscle at rest should be electrically silent, with the exception of the area of the neuromuscular junction, which is normally electrically very spontaneously active). When the muscle is voluntarily contracted, action potentials begin to appear. As the strength of the muscle contraction is increased, more and more muscle fibers produce action potentials. When the muscle is fully contracted, there should appear a disorderly group of action potentials of varying rates and amplitudes (a complete recruitment and interference pattern).Abnormal results
EMG is used to diagnose two general categories of disease: neuropathies and myopathies.Neuropathic disease has the following defining
EMG characteristics:
- An action potential amplitude that is twice normal due to the increased number of fibres per motor unit because of reinnervation of denervated fibres.
- An increase in duration of the action potential
- A decrease in the number of motor units in the muscle (as found using motor unit number estimation techniques)
Myopathic disease has these defining EMG
characteristics:
Because of the individuality of each patient and
disease, some of these characteristics may not appear in every
case.
Abnormal results may be caused by the following
medical conditions (please note this is nowhere near an exhaustive
list of conditions that can result in abnormal EMG studies):
- Alcoholic neuropathy
- Axillary nerve dysfunction
- Becker's muscular dystrophy
- Brachial plexopathy
- Carpal tunnel syndrome
- Centronuclear myopathy
- Cervical spondylosis
- Charcot-Marie-Tooth disease
- Common peroneal nerve dysfunction
- Denervation (reduced nervous stimulation)
- Dermatomyositis
- Distal median nerve dysfunction
- Duchenne muscular dystrophy
- Facioscapulohumeral muscular dystrophy (Landouzy-Dejerine)
- Familial periodic paralysis
- Femoral nerve dysfunction
- Fields condition http://news.bbc.co.uk/2/hi/uk_news/wales/south_west/4335454.stm
- Friedreich's ataxia
- Guillain-Barre
- Lambert-Eaton Syndrome
- Mononeuritis multiplex
- Mononeuropathy
- Motor neurone disease
- Myasthenia gravis
- Myopathy (muscle degeneration, which may be caused by a number of disorders, including muscular dystrophy)
- Myotubular myopathy
- Neuromyotonia
- Peripheral neuropathy
- Poliomyelitis
- Polymyositis
- Radial nerve dysfunction
- Sciatic nerve dysfunction
- Sensorimotor polyneuropathy
- Shy-Drager syndrome
- Sleep bruxism
- Spinal stenosis
- Thyrotoxic periodic paralysis
- Tibial nerve dysfunction
- Ulnar nerve dysfunction
EMG Signal Decomposition
EMG signals are essentially made up of superimposed motor unit action potentials (MUAPs) from several motor units. For a thorough analysis, the measured EMG signals can be decomposed into their constituent MUAPs. MUAPs from different motor units tend to have different characteristic shapes, while MUAPs recorded by the same electrode from the same motor unit are typically similar. Notably MUAP size and shape depend on where the electrode is located with respect to the fibers and so can appear to be different if the electrode moves position. EMG decomposition is non-trivial, although many methods have been proposed.Applications of EMG
EMG signals are used in many clinical and
biomedical applications. EMG is used as a diagnostics tool for
identifying neuromuscular
diseases, assessing low back pain, kinesiology and disorders of
motor control. EMG signals are also used as a control signal for
prosthetic devices
such as prosthetic hands, arms, and lower limbs.
EMG can be used to sense isometric muscular activity
where no movement is produced. This enables definition of a class
of subtle motionless gestures to control interfaces without being
noticed and without disrupting the surrounding environment. These
signals can be used to control a prosthesis or as a control signal
for an electronic device such as a mobile phone or PDA.
EMG signals have been targeted as control for
flight systems. The Human Senses Group at the
NASA Ames Research Center at Moffett
Field, CA seeks to advance man-machine interfaces by directly
connecting a person to a computer. In this project, an EMG signal
is used to substitute for mechanical joysticks and keyboards. EMG
has also been used in research towards a "wearable cockpit" which
employs EMG-based gestures to manipulate switches
and control sticks necessary for flight in conjunction with a
goggle-based display.
Unvoiced speech recognition recognizes speech by
observing the EMG activity of muscles associated with speech. It is
targeted for use in noisy environments, and may be helpful for
people without vocal cords
and people with aphasia.
EMG has also been used as a control signal for
computers and other devices. An interface device based on EMG could
be used to control moving objects, such as mobile
robots or an electric
wheelchair. This may be helpful for individuals who cannot
operate a joystick-controlled wheelchair. Surface EMG recordings
may also be a suitable control signal for some interactive video
games.
An EMG sensor switch was developed in 2008 called
the Libertas EMG Sensor(http://www.emgswitch.com). This
sensor picks up minute EMG signals typically from
ALS victims with little remaining muscular activity. The
Libertas transmits the EMG signal through Bluetooth to a
computer. When volitional muscle contration is detected, virtual
switch closure is then passed to specialized augmentative
communication software that allows users to control the computer
with any remaining muscles under volitional control. The technique
effectively replaces the keyboard and mouse inputs with EMG
control.
References
- M. B. I. Reaz, M. S. Hussain, F. Mohd-Yasin, “Techniques of EMG Signal Analysis: Detection, Processing, Classification and Applications”, Biological Procedures Online, vol. 8, issue 1, pp. 11-35, March 2006
- Nikias CL, Raghuveer MR. Bispectrum estimation: A digital signal processing framework. IEEE Proceedings on Communications and Radar. 1987;75(7):869–891.
- Basmajian, JV.; de Luca, CJ. Muscles Alive - The Functions Revealed by Electromyography. The Williams & Wilkins Company; Baltimore, 1985.
- Kleissen RFM, Buurke JH, Harlaar J, Zilvold G. Electromyography in the biomechanical analysis of human movement and its clinical application. Gait Posture. 1998;8(2):143–158. doi: 10.1016/S0966-6362(98)00025-3. [PubMed]
- Cram, JR.;Kasman, GS.; Holtz, J. Introduction to Surface Electromyography. Aspen Publishers Inc.; Gaithersburg, Maryland, 1998.
- Ferguson, S.; Dunlop, G. Grasp Recognition From Myoelectric Signals. Procedures Australasian Conference Robotics and Automation 2002; pp. 78-83.
- Stanford V. Biosignals offer potential for direct interfaces and health monitoring. Pervasive Computing, IEEE. 2004;3(1):99–103.
- Park, DG.; Kim, HC. Muscleman: Wireless input device for a fighting action game based on the EMG signal and acceleration of the human forearm. http://melab.snu.ac.kr/Research/melab/doc/HCI/muscleman_paper.pdf
- Wheeler KR, Jorgensen CC. Gestures as input: neuroelectric joysticks and keyboards. Pervasive Computing, IEEE. 2003;2(2):56–61.
- Manabe, H.;Hiraiwa, A.; Sugimura, T. Unvoiced Speech Recognition using EMG-Mime Speech Recognition. Conference on Human Factors in Computing Systems 2003; pp. 794-795.
- American Association of Neuromuscular and Electrodiagnostic Medicine
- American Board of Electrodiagnostic Medicine
- MedlinePlus entry on EMG describes EMG
- EMG and Nerve Conduction education, training, and expert analysis of NCV reports
- University of Oklahoma Health Sciences Center describes the electromyograph
- A tutorial-style dissertation by Volker Koch that introduces message-passing on factor graphs to decompose EMG signals
- Italian website of Electromyography
electromyography in Czech:
Elektromyografie
electromyography in Danish:
Elektromyografi
electromyography in German:
Elektromyografie
electromyography in Spanish:
Electromiografía
electromyography in Persian: ایامجی
electromyography in French:
Électromyogramme
electromyography in Dutch:
Elektromyografie
electromyography in Japanese: 筋電計
electromyography in Norwegian:
Elektromyografi
electromyography in Polish: EMG
electromyography in Albanian:
Elektromiografia
electromyography in Finnish:
Elektroneuromyografia
electromyography in Swedish:
Elektromyografi