Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal

• Published in: Biomedical engineering letters Vol. 13; no. 4; pp. 739 - 750
• Main Authors: Pankaj, Kumar, Ashish, Kumar, Manjeet, Komaragiri, Rama
• Format: Journal Article
• Language: English
• Published: Korea The Korean Society of Medical and Biological Engineering 01.11.2023; Springer Nature B.V; 대한의용생체공학회
• Subjects: Artificial neural networks; Biological and Medical Physics; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Blood pressure; Cardiovascular diseases; Classification; Engineering; Fourier analysis; Hypertension; Medical and Radiation Physics; Model testing; Neural networks; Original; Original Article; Real time; Signal classification; Signal processing; Time-frequency analysis; Training; 의공학; Hypertension; Time–frequency spectrogram; Deep learning; Transfer learning; Arterial blood pressure; Fourier decomposition method; Photoplethysmography

Appropriate blood pressure (BP) management through continuous monitoring and rapid diagnosis helps to take preventive care against cardiovascular diseases (CVD). As hypertension is one of the leading causes of CVDs, keeping hypertension under control by a timely screening of subjects becomes lifesav...