首页|Deakin University Reports Findings in Machine Learning (Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympath etic nervous activation - A machine learning approach)
Deakin University Reports Findings in Machine Learning (Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympath etic nervous activation - A machine learning approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news reportingoriginating from Victoria, Au stralia, by NewsRx correspondents, research stated, “The sympatheticnervous sys tem (SNS) is essential for the body’s immediate response to stress, initiating p hysiologicalchanges that can be measured through sympathetic nerve activity (SN A). While microneurography (MNG)is the gold standard for direct SNA measurement , its invasive nature limits its practical use in clinicalsettings.”
VictoriaAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesMachine Learning
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