Electromyography

EMG (electromyography) records the movement of our muscles. It is based on the simple fact that whenever a muscle contracts, a burst of electric activity is generated which propagates through adjacent tissue and bone and can be recorded from neighboring skin areas.

As EMG activity (measured in microvolts) is linearly related to the amount of muscle contraction as well as the number of contracted muscles – or in other words, the stronger the muscle contraction and the higher the number of activated muscles, the higher the recorded voltage amplitude will be.

As EMG activity is even measurable when we do not display obvious actions or even inhibit certain behaviors, EMG recordings represent an additional source of information into cognitive-behavioral processing which would be hidden based on pure observation

EMG is a non-invasive procedure. The muscle movements are measured with two EMG electrode stickers being placed on the skin of the intended area of study on a participant’s body.

Yes, EMG software, including iMotions, can often be integrated with other data analysis tools and software platforms. iMotions, in particular, is known for its ability to integrate with a variety of physiological and behavioral data sources, including EEG, eye tracking, facial expression analysis, and more. This integration capability allows researchers to combine EMG data with other types of data to gain a more comprehensive understanding of human behavior and physiology in various research settings, such as psychology, neuroscience, user experience research, and product testing. The synchronized data can then be analyzed collectively to uncover deeper insights and correlations, enhancing the overall research capabilities and outcomes.

Yes, EMG devices can be wearable. They are designed to be comfortably worn on the body and are commonly used to monitor muscle activity during various activities and applications, including sports science, rehabilitation, and human-computer interaction. Wearable EMG devices are typically compact and lightweight, making them convenient for use in diverse settings.

When selecting an EMG device, consider the specific application and the number of channels needed for muscle monitoring. Prioritize signal quality and noise reduction capabilities, as well as the comfort and wearability of the device, especially for long-term use. Additionally, evaluate factors such as data storage, software compatibility, and budget constraints to make an informed choice that aligns with your research or clinical objectives.