A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 16, 2023

Abstract

CONTEXT: Continuous blood pressure (BP) monitoring plays an important role while treating various cardiovascular diseases and hypertension. A high correlation between arterial blood pressure (ABP) and Photoplethysmogram (PPG) signal enables using a PPG signal to monitor and classify BP continuously. Control of BP in realtime is the basis for the prevention of hypertension.

Authors

  • Pankaj
    Department of Electronics and Communication Engineering, Bennett University, Greater Noida, India.
  • Ashish Kumar
    Department of pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER-Raebareli), Lucknow, India.
  • Rama Komaragiri
    Department of Electronics and Communication Engineering, Bennett University, Greater Noida, India.
  • Manjeet Kumar
    Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India. Electronic address: manjeetchhillar@gmail.com.

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