首页|Researchers from Petrozavodsk State University Publish Findings in Machine Learn ing (Assessment of Stress Level with Help of 'Smart Clothing' Sensors, Heart Rat e Variability-Based Markers and Machine Learning Algorithms)
Researchers from Petrozavodsk State University Publish Findings in Machine Learn ing (Assessment of Stress Level with Help of 'Smart Clothing' Sensors, Heart Rat e Variability-Based Markers and Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Petrozavodsk, Russia, by NewsRx correspondents, research stated, “Physiological stress in healthy sub jects was assessed using heart rate (HR), monitored with the help of Hexoskin sm art garments.” The news reporters obtained a quote from the research from Petrozavodsk State Un iversity: “HRs were collected during daily life activities and in laboratory set tings during stress tests. Heart rate variability parameters were computed and r eferenced with expert levels of stress. The data were processed with the help of machine learning algorithms (Random Forest, CatBoost, XGB, LGBM, SVR).”
Petrozavodsk State UniversityPetrozavo dskRussiaEurasiaAlgorithmsCyborgsEmerging TechnologiesMachine Learni ng
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