A Deep Learning Approach to Predict Blood Pressure from PPG Signals

  title={A Deep Learning Approach to Predict Blood Pressure from PPG Signals},
  author={Ali Tazarv and Marco Levorato},
  journal={2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
  • Ali Tazarv, M. Levorato
  • Published 30 July 2021
  • Computer Science, Engineering, Medicine
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body’s vital (life-sustaining) functions. BP is difficult to continuously monitor using a sphygmomanometer (i.e. a blood pressure cuff), especially in everyday-setting. However, other health signals which can be easily and continuously acquired, such as photoplethysmography (PPG), show some similarities with the Aortic Pressure waveform. Based on these similarities, in recent years several methods were… 

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