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Continuous monitoring of blood pressure (BP) and hemodynamic parameters such as peripheral resistance (R) and arterial compliance (C) are critical for early vascular dysfunction detection. While photoplethysmography (PPG) wearables has…

Medical Physics · Physics 2025-12-12 Yaowen Zhang , Libera Fresiello , Peter H. Veltink , Dirk W. Donker , Ying Wang

Background and Objectives: In a significant portion of surgeries, blood pressure (BP) is often measured non-invasively in an intermittent manner. This practice has a risk of missing clinically relevant BP changes between two adjacent…

Goal: Although photoplethysmogram (PPG) and electrocardiogram (ECG) signals can be used to estimate blood pressure (BP) by extracting various features, the changes in morphological contours of both PPG and ECG signals due to various…

Signal Processing · Electrical Eng. & Systems 2018-11-07 Md. Sayed Tanveer , Md. Kamrul Hasan

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide, and sustained hypertension is an often silent risk factor, making cuffless continuous blood pressure (BP) monitoring with wearable devices important for…

Signal Processing · Electrical Eng. & Systems 2025-12-02 Yiqiao Chen , Fazheng Xu , Zijian Huang , Juchi He , Zhenghui Feng

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many other parameters are required. Several invasive and…

Mean aortic pressure (MAP) is a major determinant of perfusion in all organs systems. The ability to forecast MAP would enhance the ability of physicians to estimate prognosis of the patient and assist in early detection of hemodynamic…

Machine Learning · Computer Science 2020-10-20 Eliza Huang , Rui Wang , Uma Chandrasekaran , Rose Yu

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and poor adherence to current methods of monitoring blood…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Theodore Curran , Chengqian Ma , Xin Liu , Daniel McDuff , Girish Narayanswamy , George Stergiou , Shwetak Patel , Eugene Yang

Hypertension is a medical condition characterized by high blood pressure, and classifying it into its various stages is crucial to managing the disease. In this project, a novel method is proposed for classifying stages of hypertension…

Machine Learning · Computer Science 2023-04-17 Graham Frederick , Yaswant T , Brintha Therese A

Hypertension is a leading risk factor for cardiovascular diseases. Traditional blood pressure monitoring methods are cumbersome and inadequate for continuous tracking, prompting the development of PPG-based cuffless blood pressure…

Signal Processing · Electrical Eng. & Systems 2024-11-20 Hui Lin , Jiyang Li , Ramy Hussein , Xin Sui , Xiaoyu Li , Guangpu Zhu , Aggelos K. Katsaggelos , Zijing Zeng , Yelei Li

Utilizing mobile phone cameras for continuous blood pressure (BP) monitoring presents a cost-effective and accessible approach, yet it is challenged by limitations in accuracy and interpretability. This study introduces four innovative…

Signal Processing · Electrical Eng. & Systems 2024-07-25 Ivan Liu , Fangyuan Liu , Qi Zhong , Shiguang Ni

Human health can be critically affected by cardiovascular diseases, such as hypertension, arrhythmias, and stroke. Heart rate and blood pressure are important biometric information for the monitoring of cardiovascular system and early…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Gyutae Hwang , Sang Jun Lee

Blood pressure (BP) monitoring is vital in daily healthcare, especially for cardiovascular diseases. However, BP values are mainly acquired through the contact sensing method, which is inconvenient and unfriendly to continuous BP…

Image and Video Processing · Electrical Eng. & Systems 2022-06-24 Jialiang Zhuang , Bin Li , Yun Zhang , Yuheng Chen , Xiujuan Zheng

This study explores extended feature space that is indicative of blood pressure (BP) changes for better estimation of continuous BP in an unobtrusive way. A total of 222 features were extracted from noninvasively acquired electrocardiogram…

Signal Processing · Electrical Eng. & Systems 2019-08-28 Xiaorong Ding , Bryan P Yan , Yuan-Ting Zhang , Jing Liu , Peng Su , Ni Zhao

Anemia is a prevalent hematological disorder that requires frequent hemoglobin monitoring for early diagnosis and effective management. Conventional hemoglobin assessment relies on invasive blood sampling, limiting its suitability for…

Computers and Society · Computer Science 2026-02-20 Garima Sahu , Poorva Verma , Nachiket Tapas

Hypertension, a leading contributor to cardiovascular morbidity, underscores the need for accurate and continuous blood pressure (BP) monitoring. Photoplethysmography (PPG) presents a promising approach to this end. However, the precision…

Photoplethysmography (PPG)-based blood pressure (BP) estimation is a challenging task, particularly on resource-constrained wearable devices. However, fully on-board processing is desirable to ensure user data confidentiality. Recent deep…

Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models. While current solutions offer substantial performance gains, we…

Computer Vision and Pattern Recognition · Computer Science 2023-05-25 Nathan Vance , Jeremy Speth , Benjamin Sporrer , Patrick Flynn

Blood pressure monitoring is an essential component of hypertension management and in the prediction of associated comorbidities. Blood pressure is a dynamic vital sign with frequent changes throughout a given day. Capturing blood pressure…

Machine Learning · Computer Science 2020-07-29 Lida Zhang , Nathan C. Hurley , Bassem Ibrahim , Erica Spatz , Harlan M. Krumholz , Roozbeh Jafari , Bobak J. Mortazavi

Photoplethysmography (PPG) is a widely used non-invasive physiological sensing technique, suitable for various clinical applications. Such clinical applications are increasingly supported by machine learning methods, raising the question of…

Oscillometric monitors are the most common automated blood pressure (BP) measurement devices used in non-specialist settings. However, their accuracy and reliability vary under different settings and for different age groups and health…

Signal Processing · Electrical Eng. & Systems 2023-01-25 Niloufar Delfan , Mohamad Forouzanfar