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Invasive validation of the Antares algorithm for determining central blood pressure based on upper arm oscillometric pulse waves in patients with type 2 diabetes.

Alexander StäuberCornelia PiperMarco KösterMarcus DörrStefan RichterMarc-Alexander OhlowSiegfried EckertJohannes Baulmann
Published in: BMJ open diabetes research & care (2023)
The present study suggests that the Antares algorithm incorporated into the custo screen 400 device can estimate cBP with high accuracy turning a conventional oscillometric BP device into a type II device for the non-invasive estimation of cBP, which is applicable in patients with type 2 diabetes. Integration of Antares into commercially available BP devices could facilitate the introduction of cBP into routine clinical practice as a part of disease and risk management.
Keyphrases
  • clinical practice
  • blood pressure
  • machine learning
  • deep learning
  • hypertensive patients
  • high throughput
  • type diabetes
  • neural network
  • insulin resistance
  • blood glucose