Measuring Muscle Activation: Understanding The Science Of Electromyography

how to measure muscle activation

Muscle activation can be measured in a variety of ways, each with its own advantages and disadvantages. One of the most common methods is electromyography (EMG), which involves recording the electrical potential connected to muscular fibres' depolarization, which triggers muscle contraction. This method is often used in medical and physiotherapy research and can be done non-invasively. However, it does not provide direct information about muscle force. An alternative method is mechanomyography (MMG), which measures the mechanical response of the lateral oscillation of muscle fibre during contraction and offers benefits such as a higher signal-to-noise ratio. Other methods include using optical sensors or a combination of EMG and electrical impedance myography (EIM).

Characteristics Values
Muscle contraction measurement techniques Electromyography (EMG), Mechanomyography (MMG), Piezoresistive sensors, Electrical Impedance Myography (EIM), Optical sensors
EMG measurement methods Surface electrodes, Fine wire electrodes, sEMG, mDurance system
Advantages of EMG Widely used, Non-invasive, Provides valuable information about neural control of movement
Limitations of EMG Does not directly measure muscle force, Cost, Complexity, Skin impedance, Invasive nature of fine wire electrodes
Advantages of MMG Higher signal-to-noise ratio, Less sensitive to sensor placement, Can be used in natural environments
Disadvantages of MMG Lack of established sensors, Acoustic/vibrational interference
Other techniques Optical sensor MAX30105, FSR sensors

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Surface electromyography (sEMG)

The electrical activity of the muscles is recorded using electrodes and biopotential amplifiers. These electrodes can be either surface electrodes or fine wire electrodes inserted into the muscle. sEMG is well-tolerated by people of all ages and with various pathologies, making it a versatile tool in clinical practice.

One of the benefits of sEMG is its ability to provide a "richer" analysis of gait by studying muscle activation patterns during locomotion. This can be useful in the early evaluation of rehabilitation programs, as it can detect even minor changes or improvements in muscle function over time.

Recent advances in flexible non-invasive electrodes have improved the acquisition of sEMG signals. For example, stretchable, skin-wearable, conformal gold (Au) electrodes have been designed to record sEMG signals by aligning with the submental muscles. Additionally, chemical modifications to the substrate or electrode can increase viscosity and improve adhesion to the skin.

SEMG signal processing and classification techniques are also being developed to enhance the utility of sEMG data. Wavelet transforms, such as the Discrete Wavelet Transform (DWT) and Continuous Wavelet Transform (CWT), have gained popularity as alternatives to the traditional Fourier transform method due to their efficiency and flexibility in signal resolution. Furthermore, techniques like Intrinsic Mode Function (IMF) filtering and Empirical Mode Decomposition (EMD)/Ensemble EMD (EEMD) have proven effective in removing noise from sEMG signals, improving their overall quality.

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Mechanomyography (MMG)

MMG offers several potential advantages over other methods of measuring muscle activation, such as electromyography (EMG). Firstly, it is not influenced by skin impedance changes, such as those caused by sweating, which can affect the EMG signal. Secondly, MMG has a higher signal-to-noise ratio, allowing for the monitoring of deeper muscles without the need for invasive procedures. Additionally, MMG sensors do not need to be placed precisely on the muscle of interest, and MMG can be used in conjunction with EMG to examine neuromuscular function.

MMG has been applied in various fields, including clinical and experimental practice, to study muscle characteristics such as muscle function, prosthesis control, signal processing, physiological exercise, and medical rehabilitation. It has also been used to assess muscle fatigue during exerting tasks, such as squats, and to monitor muscle activity during natural movements.

One study combined MMG with an inertial measurement unit (IMU) to monitor muscle activity during a squat-based task. The results showed that MMG measures of muscle activity were similar to EMG in timing, duration, and magnitude during the fatigue task. This suggests that MMG could be a promising alternative to EMG for monitoring muscle activity, especially in pervasive or natural environments where EMG may be impractical due to its limitations.

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Electrical impedance myography (EIM)

EIM can assess changes in muscle composition and architecture caused by diseases, such as myocyte atrophy, edema, and fat deposition. By applying single-frequency or multifrequency electrical currents, EIM can help grade the severity of neuromuscular diseases and provide a more comprehensive understanding of muscle conditions. The technique is sensitive to muscle atrophy and disuse, making it valuable in studying aging populations and individuals with orthopedic injuries.

The process of EIM involves separating impedance into its real and imaginary components, resistance and reactance, respectively. This allows for the calculation of the muscle's phase, which represents the time-shift a sinusoid undergoes when passing through the muscle. The angle of the lowest phase and the anisotropy of the muscle can also be determined through EIM. The technique is relatively easy to perform, requiring limited subject cooperation and evaluator training to obtain accurate and repeatable data.

EIM has been recognised for its potential as a biomarker in the study of diseases such as ALS. It can also be used to assess disuse atrophy and radiculopathy. Ongoing research in EIM focuses on refining data acquisition and analysis methods, as well as understanding the basic mechanisms of impedance changes. The development of a portable EIM system is also underway, which is expected to improve the speed, repeatability, and sensitivity of measurements.

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Piezoresistive sensors

The sensor is based on a force-sensitive resistor (FSR) and is applied to the skin through a rigid dome. The FSR sensor drift and sensitivity degradation can be limited by FSR conditioning circuits, which fix the voltage across the FSR and provide a voltage output proportional to the force. The frequency response of the FSR sensor is large enough to correctly measure the mechanomyogram (MMG), which refers to the little vibrations that occur during muscle contraction.

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Optical sensors

Another example of an optical sensor for muscle activation measurement is the PANDA ring resonator. This small-scale optical device is designed to measure the contraction and relaxation of muscles by coupling the changes in the optical device's phase shift with human muscle movement. The PANDA ring resonator consists of three microring resonators: a reference ring, a sensing ring, and an interference signal ring. The sensing ring's radius can be adjusted to detect different muscle movements.

The PANDA ring resonator system has been simulated using Optiwave and MATLAB programs, and the results show that it can effectively measure muscle contractions and relaxations. The unique patterns of individual muscle movements can be established, which is useful for human-machine interfaces and human-computer interface applications.

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Frequently asked questions

Muscle activation refers to the process by which muscles generate force and produce movement. This involves the electrical and mechanical events that occur during muscle contraction.

Muscle activation can be measured using various techniques, the most common being electromyography (EMG). EMG records the electrical potential connected to muscular fibres' depolarization, which triggers muscle contraction. It provides valuable information about neural control during movement but does not directly measure muscle force.

Alternative methods include mechanomyography (MMG), which measures the mechanical response of muscle fibres during contraction; electrical impedance myography (EIM), which analyses changes in electrical impedance during muscle activity; and force-sensitive resistor (FSR) sensors, which detect muscle contractions by sensing mechanical force.

MMG offers several potential advantages, such as higher signal-to-noise ratios, exemption from skin impedance changes, and lower sensitivity to sensor placement. However, it has not gained mainstream use due to a lack of established sensors and acoustic/vibrational interference issues.

Measuring muscle activation has applications in medical fields like neurology, orthopaedics, rehabilitation, and sports medicine. It is also used in prosthesis control, human-machine interfaces, and sports performance evaluation and training.

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