High-Density Electromyography (HD-EMG) is a non-invasive method that measures muscle activity's spatial and temporal patterns through EMG signals recorded on the skin's surface.

This page provides an overview of HD-EMG, including the principles behind how it works, its research applications, the essential equipment for measurement, practical steps for setting up an HD-EMG experiment, and more.

Introduction to HD-EMG

High-Density Electromyography (HD-EMG, also called high-density surface EMG or HDsEMG) is a non-invasive method that measures muscle activity's spatial and temporal patterns through EMG signals recorded on the skin's surface. The EMG signals are acquired using at least four closely spaced electrodes from different locations over the muscle(s) of interest [1].

HD-EMG signals offer valuable insights into muscular activation, making it useful for neuromuscular research. The spatiotemporal signals provide information about regional activation of the muscles, including the magnitude and the size of the active region(s) of the muscle. The spatiotemporal recording characterizes how the action potential propagates along the muscle fiber, enabling estimation of muscle fiber properties such as average muscle fiber conduction velocity and innervation zone, the region where the alpha motor neuron attaches to the muscle fiber. Using decomposition methods, single motor unit activity can be extracted to represent the neural drive to the muscle. HD-EMG has various research applications, including rehabilitation, neuromuscular control, biomechanics, and signal processing.

What is the origin of HD-EMG signals?

HD-EMG signals originate from the electrical activity of motor units in skeletal muscles, which are composed of a motor neuron and the muscle fibers it innervates. The greater the motor neuron stimulation (either through higher frequency firing or greater motor unit recruitment), the larger the electrical signal. These signals are detected by electrodes placed on the skin surface. At the neuromuscular junction (motor end plate), the motor neuron connects with each muscle fiber, and the action potential propagates through the muscle from the innervation zone.

A motor unit (Figure 1) is the smallest functional unit of a muscle, comprising a motor neuron and its innervated muscle fibers. Motor units are recruited in a specific order as described by Henneman’s size principle, starting with small units for low force and progressing to larger ones as the required force increases [2].

The HD-EMG signals are composed of motor unit action potentials (MUAPs), which are the cumulative action potentials produced by all muscle fibers following the discharge of the innervating motor neuron. As the action potential travels through a muscle fiber, the 2D arrangement of the electrodes on the grid provides characteristics of muscle activity, such as single motor unit activity [3].

Figure 1: The motor unit structure, including the motor neuron, muscle fibers and motor endplates (photo adapted from Konrad).


Bipolar EMG and HD-EMG Differences

Bipolar EMG is the conventional EMG method, measuring the difference in voltage between two electrodes on one muscle, representing muscle activity of that muscle. However, for some researchers, this provides insufficient information about muscle activity. The spatial resolution of HD-EMG is higher, with multiple channels evenly spaced in either one direction (array) or two directions (grid), as shown in Figure 3a. The topographical distribution of electrodes allows for measurement of the activation of a large area of the muscle [4].

Other than the number of electrodes, the electrode diameter of HD-EMG is smaller than conventional bipolar EMG. This reduction in electrode size aims to minimize the spatial low-pass filtering effect on the distribution of electric potentials on the skin [1]. The low-pass filtering effects result from averaging the measured voltage beneath the surface of the electrode, which reduces the high-frequency content of the signal [5].

Lastly, the small inter-electrode distance (IED) of the HD-EMG grids increases the spatial resolution, facilitating signal interpolation for EMG images. The small IED guarantees the inclusion of all necessary muscle activation information needed for interpolation, preventing spatial aliasing [1, 3]. Using an IED of max 10 mm gives an accurate image reconstruction (EMG image) [1]. An example of EMG image reconstruction using an HD-EMG grid is included in Figure 4.

Figure 3: a) Textile HD-EMG grid (4x8L) b) Bipolar EMG measurement of muscle activation, with 2 electrodes on the muscle and ground electrode on wristband.

Figure 4 a) 8x4 electrode grid, b) Application of HD-EMG on each side of spine, c) Single Differential Root-Mean-Square Value, d) interpolated EMG image. From [5]

Benefits of HD-EMG

  1. Higher Spatial Resolution:​ HD-EMG uses a grid of closely spaced electrodes, allowing for detailed mapping of muscle activity.​ Provides more precise muscle activation patterns compared to bipolar EMG, which only measures activity from two points.​

  2. Improved Muscle Activity Localization:​ HD-EMG can pinpoint the exact area of muscle activation, providing better insight into muscle recruitment and coordination.​

  3. Captures Complex Muscle Dynamics:​ More electrodes lead to a more accurate representation of muscle behavior, especially in complex, multi-fiber muscles.​

This allows for motor unit decomposition, spatial mapping (robotic control), and investigating muscle fiber properties (innervation zone detection / muscle fiber conduction velocity).

Equipment for Measuring HD-EMG

For measuring HD-EMG, you will need electrodes and an amplifier device. The quality of the recording equipment greatly influences the quality of the HD-EMG recordings.

What is the best electrode material?

Electrodes are the interface between the skin and the amplifier. In the body, current is carried by ions. In the electrode and lead wire, this current is carried by electrons. Therefore, at the skin-electrode interface, the current carriage method changes from ions to electrons. Chemical reactions at the site of the electrode and the gel (electrolyte) allow this transition. However, this chemical reaction changes the ionic concentrations locally around the electrode, resulting in a potential difference (half-cell potential) with the rest of the solution.

The most commonly used electrode material is Ag/AgCl [7].  Electrodes made of Ag/AgCl are almost perfectly nonpolarizable, which means that current can freely pass across the electrode-electrolyte interface [8]. As a result, the previously mentioned half-cell potential hardly changes over time, making Ag/AgCl electrodes very stable, which reduces power line interference and the occurrence of artifacts related to body movements [9].

What determines an amplifier's quality?

The function of an amplifier is to take a weak electric signal from the body and increase its amplitude so that it is compatible with recording and displaying devices. A high-quality EMG amplifier has the following characteristics:

  • A high input impedance, so as not to distort the signal coming in [8].

  • A bandwidth in the frequency band of EMG is between 6 and 500 Hz [6].

  • No hardware filters, so the signal information is not altered [6].

  • A high common-mode rejection ratio (CMRR). This suppresses all signals ‘common’ to all recorded electrodes. One such example is 50 or 60 Hz powerline noise. Typically, the common mode voltage is much larger than the EMG signal, so a high CMRR is needed to distinguish the EMG signals [6].

Motor Unit Decomposition (MUD)

Motor Unit Decomposition is a technique used to separate and analyze individual motor unit (MU) activity from the combined electrical signals recorded by EMG.​ HD-EMG provides high spatial resolution, allowing for precise detection and decomposition of motor units from complex muscle activity.​

Credit: I-SpinSAGA is an adaptation from I-Spin live which has been developed by J. Rossato et al. (Please cite https://doi.org/10.7554/eLife.88670.1 when you use the library for your experiments).

HD-EMG Applications

For more in-depth information about the three primary measurement domains for HD-EMG are regional activation, muscle fiber properties, and single motor unit activity read our white paper here: https://info.tmsi.com/blog/what-are-the-applications-of-hd-emg

Examples of what you can do with HD-EMG:

  • Muscle Fiber Properties
    Investigate the characteristics and behavior of muscle fibers to gain insights into muscle physiology.

  • Spatial Muscle Mapping
    Conduct detailed spatial mapping of muscle activity for comprehensive analysis of muscle behavior, synergy, and function.

  • Motor Unit Decomposition
    Record and evaluate individual motor units to explore neuromuscular function.

Conclusion

HD-EMG is a powerful technique for analyzing muscle activity in detail. By using an array of electrodes and an amplifier, high-density electromyography can capture spatial and temporal muscle activation patterns with high precision. Researchers can interpret these signals to study neuromuscular function, detect disorders, and optimize rehabilitation strategies. Understanding proper electrode placement and recognizing common artifacts, such as motion artifacts or cross-talk, is essential for obtaining accurate HD-EMG recordings. This technique has broad applications in biomechanics, sports science, rehabilitation, and neurophysiology.


Resources

  1. Gallina, A., Disselhorst-Klug, C., Farina, D., Merletti, R., Besomi, M., Holobar, A., Enoka, R. M., Hug, F., Falla, D., Søgaard, K., McGill, K., Clancy, E. A., Carson, R. G., van Dieën, J. H., Gandevia, S., Lowery, M., Besier, T., Kiernan, M. C., Rothwell, J. C., … Hodges, P. W. (2022). Consensus for experimental design in electromyography (CEDE) project: High-density surface electromyography matrix. Journal of Electromyography and Kinesiology, 64, 102656. https://doi.org/10.1016/J.JELEKIN.2022.102656 

  2. Uchida T. Biomechanics Of Movement : The Science Of Sports, Robotics, And Rehabilitation. MIT Press; 2021. 

  3. Merletti, R., Vieira, T. M., & Farina, D. (2016). Techniques for information extraction from the surface EMG signal: high-density surface EMG. In Surface Electromyography: Physiology, Engineering and Applications (pp. 126–157). Wiley-IEEE Press. https://doi.org/10.1002/9781119082934.CH05 

  4. Besomi, M., Hodges, P. W., van Dieën, J., Carson, R. G., Clancy, E. A., Disselhorst-Klug, C., Holobar, A., Hug, F., Kiernan, M. C., Lowery, M., McGill, K., Merletti, R., Perreault, E., Søgaard, K., Tucker, K., Besier, T., Enoka, R., Falla, D., Farina, D., … Wrigley, T. (2019). Consensus for experimental design in electromyography (CEDE) project: Electrode selection matrix. Journal of Electromyography and Kinesiology, 48, 128–144. https://doi.org/10.1016/j.jelekin.2019.07.008 

  5. Campanini, I., Merlo, A., Disselhorst-Klug, C., Mesin, L., Muceli, S., & Merletti, R. (2022). Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors. Sensors, 22(11), 4150. https://doi.org/10.3390/S22114150/S1 

  6. Konrad P. The ABC of EMG. A practical introduction to kinesiological electromyography. 2005. 

  7. Stegeman D, Hermens H. Standards for surface electromyography: The European project 

  8. Webster J, Nimunkar A, Clark J. Medical instrumentation. 4th ed. 2010. 

  9. Geddes L. Electrodes And The Measurement Of Bioelectric Events. new york: Wiley, John & Sons; 1972.