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Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is interesting for various reasons. First, PPG can easily be measured using fingerclip sensors. Second, camera-based approaches allow to derive…

Machine Learning · Computer Science 2021-04-20 Fabian Schrumpf , Patrick Frenzel , Christoph Aust , Georg Osterhoff , Mirco Fuchs

Heart Sound (also known as phonocardiogram (PCG)) analysis is a popular way that detects cardiovascular diseases (CVDs). Most PCG analysis uses supervised way, which demands both normal and abnormal samples. This paper proposes a method of…

Sound · Computer Science 2021-01-15 Shengchen Li , Ke Tian , Rui Wang

Motivation. Phonocardiography can give access to the fetal heart rate as well as direct heart sound data, and is entirely passive, using no radiation of any kind. Approach. We discuss the currently available methods for fetal heart sound…

Audio and Speech Processing · Electrical Eng. & Systems 2025-07-16 Kristóf Müller , Janka Hatvani , Márton Áron Goda , Miklós Koller

Cardiovascular system diseases can be identified by using a specialized diagnostic process utilizing a digital stethoscope. Digital stethoscopes provide phonocardiography (PCG) recordings for further inspection, besides filtering and…

Signal Processing · Electrical Eng. & Systems 2024-02-21 Ibrahim Ozkan , Atila Yilmaz

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

Longitudinal monitoring of heart rate (HR) and heart rate variability (HRV) can aid in tracking cardiovascular diseases (CVDs), sleep quality, sleep disorders, and reflect autonomic nervous system activity, stress levels, and overall…

Signal Processing · Electrical Eng. & Systems 2024-12-20 Ruhan Yi , Mihail Popescu , James M. Keller , Grant Scott , Laurel Despins , David Heise , Marjorie Skubic

Blood pressure (BP) changes are linked to individual health status in both clinical and non-clinical settings. This study developed a deep learning model to classify systolic (SBP), diastolic (DBP), and mean (MBP) BP changes using…

Signal Processing · Electrical Eng. & Systems 2024-07-04 Jingyuan Hong , Manasi Nandi , Weiwei Jin , Jordi Alastruey

Cardiac abnormalities affecting heart rate and rhythm are commonly observed in both healthy and acutely unwell people. Although many of these are benign, they can sometimes indicate a serious health risk. ECG monitors are typically used to…

Signal Processing · Electrical Eng. & Systems 2018-07-12 Stewart Whiting , Samuel Moreland , Jason Costello , Glen Colopy , Christopher McCann

Objective: Evaluate a method for the estimation of the nocturnal systolic blood pressure (SBP) dip from 24-hour blood pressure trends using a wrist-worn photoplethysmography (PPG) sensor and a deep neural network in free-living individuals,…

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

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

Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of the wellness of a patient. Continuous monitoring of RR can…

Recent research has shown that each apnea episode results in a significant rise in the beat-to-beat blood pressure and by a drop to the pre-episode levels when patient resumes normal breathing. While the physiological implications of these…

Signal Processing · Electrical Eng. & Systems 2018-11-19 Armin Soltan Zadi , Raichel M. Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

Heart failure (HF) poses a significant global health challenge, with early detection offering opportunities for improved outcomes. Abnormalities in heart rate (HR), particularly during daily activities, may serve as early indicators of HF…

Machine Learning · Computer Science 2026-01-19 Yaowen Zhang , Libera Fresiello , Peter H. Veltink , Dirk W. Donker , Ying Wang

The vast majority of cardiovascular diseases may be preventable if early signs and risk factors are detected. Cardiovascular monitoring with body-worn sensor devices like sensor patches allows for the detection of such signs while…

The generation of high-quality medical time series data is essential for advancing healthcare diagnostics and safeguarding patient privacy. Specifically, synthesizing realistic phonocardiogram (PCG) signals offers significant potential as a…

Machine Learning · Computer Science 2024-12-24 Ainaz Jamshidi , Muhammad Arif , Sabir Ali Kalhoro , Alexander Gelbukh

Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pulse oximeters and wrist worn heart rate monitors to monitor…

Objective: Postural Orthostatic Tachycardia Syndrome (POTS) is associated with the onset of tachycardia upon postural change. The current diagnosis involves the measurement of heart rate (HR) and blood pressure (BP) during head-up tilt…

Quantitative Methods · Quantitative Biology 2020-01-27 Justen Geddes , Jesper Mehlsen , Mette S. Olufsen

With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate (HR) detection systems. HR is a key physiological marker of cardiovascular health and physical fitness. Continuous…

Human-Computer Interaction · Computer Science 2023-04-25 Kayla-Jade Butkow , Ting Dang , Andrea Ferlini , Dong Ma , Cecilia Mascolo

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