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 ...
We try to watch for interesting articles. Please enjoy.
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.
This is a pilot randomized controlled trial comparing conventional physical therapy with additional in-bed self-exercises based on electromyography sensor feedback and conventional physical therapy alone. Biofeedback using wearable sensors may provide opportunities for patients with stroke to effectively guide self-exercises with monitoring of muscular activities in hemiplegic lower limbs. This study aims to explore the feasibility and safety of in-bed self-exercises based on electromyography sensor feedback in patients with subacute stroke.
Read the article by Jung Hyun Kim, Byung-Mo Oh, Han Gil Seo, Sung Eun Hyun, Jong tae Han, Dae hee Kang, Woo Hyung Lee (December 30, 2024) https://doi.org/10.1371/journal.pone.0310178
