Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques

7 May 2020

Papers citing "Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques"

5 / 5 papers shown

Title
PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models G. Frederick T. Yaswant A. BrinthaTherese 24 3 0 14 Apr 2023
ReViSe: Remote Vital Signs Measurement Using Smartphone Camera Donghao Qiao Amtul Haq Ayesha F. Zulkernine Raihan Masroor Nauman Jaffar CVBM 27 24 0 13 Jun 2022
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography Kevin Kotzen Peter H. Charlton Sharon Salabi Lea Amar A. Landesberg Joachim A. Behar 33 30 0 11 Feb 2022
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals S. Mahmud Nabil Ibtehaz Amith Khandakar Anas Tahir Tawsifur Rahman K. R. Islam Md. Shafayet Hossain M. S. Rahman Mohammad Tariqul Islam M. Chowdhury 26 52 0 12 Nov 2021
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images Amith Khandakar M. Chowdhury M. Reaz S. Ali Md. Anwarul Hasan S. Kiranyaz Tawsifur Rahman R. Alfkey A. Bakar R. Malik 29 96 0 27 Jun 2021