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Article
From flexible electronics technology in the era of IoT and artificial intelligence toward future implanted body sensor networks
  • 2019-03
  • Lee, SangHoon. (2019-03). From flexible electronics technology in the era of IoT and artificial intelligence toward future implanted body sensor networks. APL Materials, 7(3), 031302. doi: 10.1063/1.5063498
  • American Institute of Physics Publising LLC
  • View : 909
  • Download : 125
Article
Mechano-neuromodulation of autonomic pelvic nerve for underactive bladder: A triboelectric neurostimulator integrated with flexible neural clip interface
  • Lee, SangHoon ; 
  • Wang, Hao ; 
  • Peh, Wendy Yen Xian ; 
  • He, Tianyiyi ; 
  • Yen, Shih-Cheng ; 
  • Thakor, Nitish, V ; 
  • Lee, Chengkuo
  • 2019-06
  • Lee, SangHoon. (2019-06). Mechano-neuromodulation of autonomic pelvic nerve for underactive bladder: A triboelectric neurostimulator integrated with flexible neural clip interface. Nano Energy, 60, 449–456. doi: 10.1016/j.nanoen.2019.03.082
  • Elsevier BV
  • View : 754
  • Download : 0

Recent progress on peripheral neural interface technology towards bioelectronic medicine

Article
Recent progress on peripheral neural interface technology towards bioelectronic medicine
  • Cho, Young Jun ; 
  • Park, Jaeu ; 
  • Lee, Chengkuo ; 
  • Lee, Sanghoon
  • 2020-11
  • Cho, Young Jun. (2020-11). Recent progress on peripheral neural interface technology towards bioelectronic medicine. Bioelectronic Medicine, 6(1). doi: 10.1186/s42234-020-00059-z
  • BioMed Central
  • View : 583
  • Download : 72

Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory

Article
Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory
  • Wang, Hao ; 
  • Wang, Jiahui ; 
  • Thow, Xin Yuan ; 
  • Lee, SangHoon ; 
  • Peh, Wendy Yen Xian ; 
  • Ng, Kian Ann ; 
  • He, Tianyiyi ; 
  • Thakor, Nitish, V ; 
  • Lee, Chengkuo
  • 2020-07
  • Wang, Hao. (2020-07). Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory. doi: 10.3389/fncom.2020.00050
  • Frontiers Media SA
  • View : 681
  • Download : 161
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