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Credit: Kai Zheng, Chengcheng Zheng, Lixian Zhu, Bihai Yang, Xiaokun Jin, Su Wang, Zikai Song, Jingyu Liu, Yan Xiong, Fuze Tian, Ran Cai, Bin Hu.
Flexible electronics just took a quantum leap forward. A joint team from Beijing Institute of Technology and Lanzhou University, led by Prof. Bin Hu and Prof. Ran Cai, published in Nano-Micro Letters, has unveiled a next-generation hydrogel sensor that combines liquid-metal conductivity, reusable skin adhesion, and machine-learning-powered attention decoding—all in one ultrathin patch.
Why the PGEH Patch Is a Breakthrough
- Skin-Like Stretch & Strength
The polyacrylamide/gelatin/EGaIn hydrogel (PGEH) stretches to 1 643 % strain, withstands 366 kPa tensile stress, and survives 20 000 compression cycles—matching natural skin mechanics while preserving sensor integrity. - Temperature-Smart Adhesion
Body-heat activation (30–40 °C) triggers reversible bonding with skin at 104 kPa. A 10 °C cold-water rinse releases the patch painlessly—no irritation, no residue, and reusable for >30 cycles. - Microvolt-Scale EEG Precision
Ultra-low impedance (310 Ω at 100 Hz) and a 25.2 dB signal-to-noise ratio allow PGEH to capture microvolt-level EEG signals for 48 h—far surpassing Ag/AgCl electrodes that degrade after 6 h. - AI-Driven Attention Assessment
Coupled with the lightweight EEGNet model, the three-channel headband achieves 91.38 % accuracy in classifying focused, distracted, and fatigued states—opening doors to real-time cognitive feedback in education, healthcare, and high-risk occupations.
From Lab to Life
- Encrypted Communication: Finger-tap Morse or binary code via capacitance changes—secure, hands-free messaging.
- Rehabilitation & Diagnostics: Continuous ECG/EMG monitoring for cardiac or muscular disorders with clinical-grade fidelity.
- Personalized Neurofeedback: Track attention cycles, optimize work-rest schedules, and issue fatigue alerts—all in a soft, comfortable headband.
With its rare blend of mechanical resilience, biocompatibility, and AI integration, the PGEH platform is poised to redefine wearable neuromonitoring—turning everyday accessories into intelligent health guardians.
Journal
Nano-Micro Letters
Method of Research
Experimental study
Article Title
Machine Learning Enabled Reusable Adhesion, Entangled Network-Based Hydrogel for Long-Term, High-Fidelity EEG Recording and Attention Assessment
Article Publication Date
29-May-2025