生物医学工程                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            耐久性                        
                
                                
                        
                            肌电图                        
                
                                
                        
                            假手                        
                
                                
                        
                            材料科学                        
                
                                
                        
                            物理医学与康复                        
                
                                
                        
                            医学                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            数据库                        
                
                        
                    
            作者
            
                Jaeu Park,Jinwoong Jeong,Minseok Kang,Nagwade Pritish,Youngjun Cho,Jeongdae Ha,Junwoo Yea,Kyung‐In Jang,Hyo-Jin Kim,Jumin Hwang,B. H. Kim,Sungjoon Min,Hoijun Kim,Soonchul Kwon,Changsik John Pak,Hyunsuk Peter Suh,Joon Pio Hong,Sanghoon Lee            
         
                    
        
    
            
            标识
            
                                    DOI:10.1038/s41528-023-00282-z
                                    
                                
                                 
         
        
                
            摘要
            
            Abstract Surface electromyography (sEMG) sensors play a critical role in diagnosing muscle conditions and enabling prosthetic device control, especially for lower extremity robotic legs. However, challenges arise when utilizing such sensors on residual limbs within a silicon liner worn by amputees, where dynamic pressure, narrow space, and perspiration can negatively affect sensor performance. Existing commercial sEMG sensors and newly developed sensors are unsuitable due to size and thickness, or susceptible to damage in this environment. In this paper, our sEMG sensors are tailored for amputees wearing sockets, prioritizing breathability, durability, and reliable recording performance. By employing porous PDMS and Silbione substrates, our design achieves exceptional permeability and adhesive properties. The serpentine electrode pattern and design are optimized to improve stretchability, durability, and effective contact area, resulting in a higher signal-to-noise ratio (SNR) than conventional electrodes. Notably, our proposed sensors wirelessly enable to control of a robotic leg for amputees, demonstrating its practical feasibility and expecting to drive forward neuro-prosthetic control in the clinical research field near future.
         
            
 
                 
                
                    
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