首页|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)
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)
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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.”
Santa FeArgentinaSouth AmericaCyborgsEmerging TechnologiesHealth and MedicineMachine LearningManual CommunicationRehabilitationRehabilitation of Hearing ImpairedSign LanguageTherapy
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