visual3d:documentation:emg:emg_overview
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visual3d:documentation:emg:emg_overview [2024/07/17 15:10] – sgranger | visual3d:documentation:emg:emg_overview [2025/04/16 15:43] (current) – Reorganized page to describe signals before describing noise. wikisysop | ||
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- | ==== Overview | + | |
Electromyography (EMG) signals are electrical signals generated by the activity of skeletal muscles when they respond to inputs from the central nervous system. When a muscle contracts, it generates electrical activity that can be measured using electrodes. The electrodes can be placed on the surface of the skin or they can be intramuscular (inserted under the skin with a narrow needle). EMG data is collected as a voltage difference between a recording site and a reference site. Typically the recording site will be the fleshy part of a muscle and the reference site would be near a bony part of the body. EMG signals are used as diagnostics tools for identifying neuromuscular disorders or in research for studying muscle activation, motor control and muscle fatigue. They can also be used as control signals for prosthetic devices. | Electromyography (EMG) signals are electrical signals generated by the activity of skeletal muscles when they respond to inputs from the central nervous system. When a muscle contracts, it generates electrical activity that can be measured using electrodes. The electrodes can be placed on the surface of the skin or they can be intramuscular (inserted under the skin with a narrow needle). EMG data is collected as a voltage difference between a recording site and a reference site. Typically the recording site will be the fleshy part of a muscle and the reference site would be near a bony part of the body. EMG signals are used as diagnostics tools for identifying neuromuscular disorders or in research for studying muscle activation, motor control and muscle fatigue. They can also be used as control signals for prosthetic devices. | ||
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- | ==== Sources of Noise in EMG Data ==== | ||
{{: | {{: | ||
- | One of the challenges with collecting EMG data is that because the signals are very small (typically in the range of 0 - 10 mV), and the electrodes used to measure them are prone to picking up other signals that can obscure the data researchers are interested in collecting. | ||
- | Sources of noise in EMG signals include: | + | ===== EMG Signals ===== |
+ | Visual3D expects the EMG signals to be stored as [[visual3d: | ||
+ | |||
+ | If you plan to analyze your EMG and motion capture data together, the data must be synchronized. Data can be out of sync due to issues such as: | ||
+ | * A physiological issue known as electromechanical delay (EMD) | ||
+ | * Technical issues with data collection (e.g. the saved EMG signal might be " | ||
+ | |||
+ | You must know the sync between the analog and motion capture data, and you can use the [[Visual3D: | ||
+ | |||
+ | ===== Sources of Noise in EMG Data ===== | ||
+ | |||
+ | One of the challenges with collecting EMG data is that because the signals are very small (typically in the range of 0 - 10 mV), and the electrodes used to measure them are prone to picking up other signals that can obscure the data researchers are interested in collecting. Sources of noise in EMG signals include: | ||
* Physiological features: fat, blood flow velocity, skin temperature and different measuring sites can introduce noise into EMG signals. | * Physiological features: fat, blood flow velocity, skin temperature and different measuring sites can introduce noise into EMG signals. | ||
* Inherent noise in electrodes: electrical equipment generates electrical noise, which can be picked up in EMG measurements. | * Inherent noise in electrodes: electrical equipment generates electrical noise, which can be picked up in EMG measurements. | ||
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* Signal instability: | * Signal instability: | ||
* Electromagnetic noise: ambient noise from the human body and background radiation can obscure the desired signal to be measured. | * Electromagnetic noise: ambient noise from the human body and background radiation can obscure the desired signal to be measured. | ||
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- | ==== What to Look For ==== | ||
The figure below shows what EMG data should look like. There should be a clear burst (red) when the muscle contracts and periods of rest (blue) when the muscle relaxes. Be sure to check your data for clipping, excessive noise, and movement artifacts, as these cannot be corrected after collection. | The figure below shows what EMG data should look like. There should be a clear burst (red) when the muscle contracts and periods of rest (blue) when the muscle relaxes. Be sure to check your data for clipping, excessive noise, and movement artifacts, as these cannot be corrected after collection. | ||
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- | ==== Sampling Rate and Synchronization ==== | + | ==== See Also ==== |
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- | **Sampling Rate** | + | |
- | + | ||
- | Visual3D expects the EMG signals to be stored as ANALOG data, not unlike force platform data. One point of importance is that EMG typically has very high frequency content, which means that it must be sampled at high data sampling rates. | + | |
- | + | ||
- | **Synchronization** | + | |
- | + | ||
- | If you plan to analyze your EMG and motion capture data together, the data must be synchronized. Data can be out of sync due to issues such as: | + | |
- | + | ||
- | * A physiological issue known as electromechanical delay (EMD) | + | |
- | * Technical issues with data collection (e.g. the saved EMG signal might be " | + | |
- | + | ||
- | You must know the sync between the analog and motion capture data, and you can use the [[Visual3D: | + | |
- | + | ||
- | ==== Further Information | + | |
**[[Visual3D: | **[[Visual3D: |
visual3d/documentation/emg/emg_overview.1721229020.txt.gz · Last modified: 2024/07/17 15:10 by sgranger