National University of the Litoral Reports Findings in Machine Learning (3D prin ted PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles)
国立立托拉尔大学报告了机器学习的发现(3D prin ted pedot:用于纺织品机器学习的基于ps的导电和可图案共析凝胶电极)
National University of the Litoral Reports Findings in Machine Learning (3D prin ted PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles)
国立立托拉尔大学报告了机器学习的发现(3D prin ted pedot:用于纺织品机器学习的基于ps的导电和可图案共析凝胶电极)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Santa Fe, Ar gentina, by NewsRx correspondents, research stated, “The proliferation of medica l wearables necessitates the development of novel electrodes for cutaneous elect rophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfona te (PEDOT:PSS) is combined with a deep eutectic solvent (DES) and polyethylene g lycol diacrylate (PEGDA) to develop printable and biocompatible electrodes for l ong-term cutaneous electrophysiology recordings.”
Key words
Santa Fe/Argentina/South America/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/Manual Communication/Rehabilitation/Rehabilitation of Hearing Impaired/Sign Language/Therapy
NETL
NSTL