Electromyography (EMG) sensing technology and nerve conduction studies have a long history of success diagnosing neurological disorders. Now with affordable wearable EMG sensors, other applications are emerging such as: biofeedback, PT/OT rehabilitation, performance and excercise training, robot control, augmented reality ...

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Quantifying lower-limb muscle coordination during cycling using electromyography-informed muscle synergies

This study evaluated muscle synergies and coactivation patterns as indicators of neuromuscular coordination in lower-limb across three power levels of cycling. The Coactivation Index (CI), Synergy Index (SI), and Synergy Coordination Index (SCI) were calculated to assess muscle coordination patterns. These findings provide insight into how the central nervous system modulates its response to increasing mechanical demands. Combining synergy and coactivation indices offers a promising approach to assess motor control, inform rehabilitation, and optimize performance in cycling tasks.

Quantifying lower-limb muscle coordination during cycling using electromyography-informed muscle synergies“; Ahmadi, Reza & Rasoulian, Shahram & Heidary, Hamidreza & Aboodarda, Saied & Uchida, Thomas & Herzog, Walter & Komeili, Amin. (2025). 10.48550/arXiv.2507.19637.