Cardinality as a highly descriptive feature in myoelectric pattern recognition for decoding motor volition

Muscular activity plays an important role in clinical practice and rehabilitation research. Researchers use features of myoelectric signals to decode movements. In this study, a feature called “cardinality” was found to consistently outperform other features, including those that are more complicated and computationally expensive. This technology is useful for prosthesis control and the rehabilitation of patients with motor impairments where myoelectric signals are viable.