Improved muscle mapping could aid neurological treatment

Researchers from Carnegie Mellon University have developed a cutting-edge method to identify muscle activity in densely packed regions like the forearm. Using high-density surface electromyography (HD-sEMG) sensors alongside other techniques such as peripheral nerve stimulation, spatial filtering, and ultrasound imaging, this approach offers more accurate identification of muscle activity.

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