Machine Learning-Based Classification of Hypertension using CnD Features from Acceleration Photoplethysmography and Clinical Parameters

Author:

Abdullah Saad1,Hafid Abdelakram1,Lindén Maria1,Folke Mia1,Kristoffersson Annica1

Affiliation:

1. School of Innovation, Design and Engineering, Mälardalen University,Västerås,Sweden,72123

Publisher

IEEE

Reference14 articles.

1. A Novel Fiducial Point Extraction Algorithm to Detect C and D Points from the Acceleration Photoplethysmogram (CnD)

2. Photoplethysmogram Analysis and Applications: An Integrative Review

3. A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China;liang;Data Science Journal,2018

4. The use of photoplethysmography for assessing hynertension;elgendi;Npj Digit Med,2019

5. Wearable blood pressure measurement devices and new approaches in hypertension management: the digital era

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1. Enhancing Cardiovascular Risk Assessment: A Fusion of HRV and Wavelet Transform for Hypertension Patients;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

2. Machine learning approaches for cardiovascular hypertension stage estimation using photoplethysmography and clinical features;Frontiers in Cardiovascular Medicine;2023-12-04

3. A study of Cardiovascular disease Risk factors using ML techniques;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

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