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Surface electromyography signal processing and classification techniques

Surface electromyography signal processing and classification techniques
  1. How do you classify EMG signals?
  2. What is EMG signal processing?
  3. How does surface electromyography work?
  4. What are the types of EMG electrodes?

How do you classify EMG signals?

Generally, features in the analysis of EMG signals can be divided into three categories, including time domain (TD) features, frequency domain (FD) features and time-frequency domain (TFD) features [29,43,44]. For TD features, the features are evaluated based on signal amplitude that varies with time.

What is EMG signal processing?

The EMG signal is a biomedical signal that measures electrical currents generated in muscles during its contraction representing neuromuscular activities. The nervous system always controls the muscle activity (contraction/relaxation).

How does surface electromyography work?

EMG signals are recorded by placing electrodes close to the muscle groups. When the muscle is activated, the length of the muscle decreases and the muscle, skin and electrodes move with respect to one another. At that time, the electrodes will show some movement artifacts.

What are the types of EMG electrodes?

There are two major types of electrodes used to measure EMG signals—the needle electrode and the surface electrode.

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