Analysis of photoplethysmogram signal to estimate heart rate during physical activity using fractional fourier transform – A sampling frequency independent and reference signal-less method-Reference-Cited by-同舟云学术

Analysis of photoplethysmogram signal to estimate heart rate during physical activity using fractional fourier transform – A sampling frequency independent and reference signal-less method

Published:2023-02 Issue: Volume:229 Page:107294
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Pankaj ,Kumar Ashish,Ashdhir Aryaman,Komaragiri Rama,Kumar Manjeet^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference58 articles.

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3. Classification of blood pressure in critically ill patients using photoplethysmography and machine learning;Mejía-Mejía;Comput. Methods Progr. Biomed.,2021

4. Towards photoplethysmography-based estimation of instantaneous heart rate during physical activity;Jarchi;IEEE Trans. Biomed. Eng.,2017

5. A review on computation methods used in photoplethysmography signal analysis for heart rate estimation;Pankaj;Arch. Comput. Methods Eng.,2021

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1. A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography;Computer Methods and Programs in Biomedicine;2023-10

2. Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal;Biomedical Engineering Letters;2023-06-24

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4. Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals;IEEE Transactions on Instrumentation and Measurement;2023