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Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques.

Enric Monte-Moreno
Published in: Artif. Intell. Medicine (2011)
Keyphrases
  • blood pressure
  • blood glucose
  • heart rate
  • risk factors
  • diabetic patients
  • machine learning
  • diabetes mellitus
  • short term and long term
  • information systems
  • data mining
  • machine learning methods
  • open source