Loofah Fiber-Reinforced Eutectogel for Motion-Robust and High-Fidelity Surface Electromyography

Reliable acquisition of surface electromyography (sEMG) during dynamic motion is essential for high‑accuracy movement recognition, yet remains challenging as current wearable sEMG systems often suffer from signal degradation and motion artifacts induced by continuous skin deformation. Here, we present a wearable sEMG platform that integrates a loofah fiber-reinforced eutectogel with a perforated flexible printed circuit (FPC) designed for robust signal acquisition under dynamic motion. The fibers disperse stress to maintain gel integrity, while the perforated FPC enhances conformal skin adhesion, together enabling stable interface contact and high‑fidelity signal acquisition. The six‑channel electrode array monitors synergistic muscle activation and exhibits excellent durability over 100,000 bending cycles and accurately records sEMG under dynamic movements with up to 40% mechanical strain. After a 7-day cultivation period, the cell survival rate reached 99.99%. Its high biocompatibility can reduce the risk of skin irritation and support the comfort of long-term wearing. In real‑time tests, multichannel sEMG signals are successfully acquired and classified for various lower‑limb movements using machine learning, achieving 96.25% recognition accuracy. This work provides a material‑structural integrated strategy for robust bioelectric sensing in high‑dynamic scenarios, with promising applications in intelligent training, personalized rehabilitation, and next‑generation human-computer interaction.