首页|KTH Royal Institute of Technology Reports Findings in Machine Learning (Estimati on of aortic stiffness by finger photoplethysmography using enhanced pulse wave analysis and machine learning)
KTH Royal Institute of Technology Reports Findings in Machine Learning (Estimati on of aortic stiffness by finger photoplethysmography using enhanced pulse wave analysis and machine learning)
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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 Stockholm, S weden, by NewsRx correspondents, research stated, “Aortic stiffnessplays a crit ical role in the evolution of cardiovascular diseases, but the assessment requir es specializedequipment. Photoplethysmography (PPG) and single-lead electrocard iogram (ECG) are readily availablein healthcare and wearable devices.”
StockholmSwedenEuropeBlood Pressur eCardiovascular Diagnostic TechniquesCyborgsDiagnosisDiagnostic Techniqu es and ProceduresEmerging TechnologiesHealth and MedicineHemodynamicsMac hine LearningPhotoplethysmographyPlethysmogr
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