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Related papers: Estimating Blood Pressure from Photoplethysmogram …

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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…

Photoplethysmogram (PPG) is increasingly used to provide monitoring of the cardiovascular system under ambulatory conditions. Wearable devices like smartwatches use PPG to allow long term unobtrusive monitoring of heart rate in free living…

Machine Learning · Computer Science 2019-03-22 Shyam A , Vignesh Ravichandran , Preejith S. P , Jayaraj Joseph , Mohanasankar Sivaprakasam

Heart failure is a debilitating condition that affects millions of people worldwide and has a significant impact on their quality of life and mortality rates. An objective assessment of cardiac pressures remains an important method for the…

Machine Learning · Computer Science 2023-09-12 Hyewon Jeong , Collin M. Stultz , Marzyeh Ghassemi

This paper presents a novel blood pressure (BP) estimation method based on pulse transit time (PTT) and pulse arrival time (PAT) to estimate the systolic BP (SBP) and the diastolic BP (DBP). A data acquisition hardware is designed for…

Signal Processing · Electrical Eng. & Systems 2019-05-08 Amirhossein Esmaili , Mohammad Kachuee , Mahdi Shabany

Continuous cardiovascular monitoring can play a key role in precision health. However, some fundamental cardiac biomarkers of interest, including stroke volume and cardiac output, require invasive measurements, e.g., arterial pressure…

Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during physical activities is proposed. Methods: It jointly estimates spectra of PPG signals and simultaneous acceleration signals, utilizing the multiple…

Other Computer Science · Computer Science 2015-07-22 Zhilin Zhang

Continuous monitoring of blood pressure (BP)can help individuals manage their chronic diseases such as hypertension, requiring non-invasive measurement methods in free-living conditions. Recent approaches fuse Photoplethysmograph (PPG) and…

Pulse transit time (PTT) has been widely used for cuffless blood pressure (BP) measurement. But, it requires more than one cardiovascular signals involving more than one sensing device. In this paper, we propose a method for continuous…

Signal Processing · Electrical Eng. & Systems 2024-05-07 Mousumi Das , Tilendra Choudhary , L. N. Sharma , M. K. Bhuyan

Hypertension, defined as blood pressure (BP) that is above normal, holds paramount significance in the realm of public health, as it serves as a critical precursor to various cardiovascular diseases (CVDs) and significantly contributes to…

Computation and Language · Computer Science 2024-02-06 Yuting Guo , Seyedeh Somayyeh Mousavi , Reza Sameni , Abeed Sarker

Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. A smartphone camera-based PhotoPlethysmoGraphy (PPG) and a low-cost thermal camera can be used to create cheap, convenient and…

Medical Physics · Physics 2019-01-03 Youngjun Cho , Simon J. Julier , Nadia Bianchi-Berthouze

Accurate and generalizable blood pressure (BP) estimation is vital for the early detection and management of cardiovascular diseases. In this study, we enforce subject-level data splitting on a public multi-wavelength photoplethysmography…

Signal Processing · Electrical Eng. & Systems 2026-01-12 Zequan Liang , Ruoyu Zhang , Wei Shao , Mahdi Pirayesh Shirazi Nejad , Ehsan Kourkchi , Setareh Rafatirad , Houman Homayoun

Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Though spatial context can provide increased physiological insight, existing PPGI…

Quantitative Methods · Quantitative Biology 2016-12-21 Robert Amelard , David A Clausi , Alexander Wong

Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. While motion artifacts in dynamic environments have been…

Human-Computer Interaction · Computer Science 2025-04-17 Manh Pham Hung , Matthew Yiwen Ho , Yiming Zhang , Dimitris Spathis , Aaqib Saeed , Dong Ma

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

Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sensors can be used to…

Machine Learning · Computer Science 2023-03-27 Yuntong Zhang , Jingye Xu , Mimi Xie , Dakai Zhu , Houbing Song , Wei Wang

Comparison of tacho-oscillographic and oscillometric methods for human blood pressure measurement with cuff occlusion in the same device at the same time is described. For this purpose the measurement system and software for signal…

Systems and Control · Computer Science 2015-06-22 Maksym Sikorsky , Anton Soroka , Vitaliy Mosiychuk , Oleg Sharpan

Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physiological signals (e.g., Electroencephalogram,…

Cryptography and Security · Computer Science 2024-01-29 Lin Li , Chao Chen , Lei Pan , Leo Yu Zhang , Zhifeng Wang , Jun Zhang , Yang Xiang

Photoplethysmography (PPG) is a method of detecting variation in blood volume commonly through contact with the skin and involving the usage of one or multiple sensors. PPG is typically used in health-related fields and one of its most…

Medical Physics · Physics 2021-08-24 Jiesheng He , Wei Wu

We develop and evaluate two novel purpose-built deep learning (DL) models for synthesis of the arterial blood pressure (ABP) waveform in a cuff-less manner, using a single-site photoplethysmography (PPG) signal. We train and evaluate our DL…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Muhammad Wasim Nawaz , Muhammad Ahmad Tahir , Ahsan Mehmood , Muhammad Mahboob Ur Rahman , Kashif Riaz , Qammer H. Abbasi

Despite the population of the noninvasive, economic, comfortable, and easy-to-install photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable algorithm which is able to simultaneously extract from a…

Neurons and Cognition · Quantitative Biology 2017-09-05 Antonio Cicone , Hau-Tieng Wu