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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

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, with blood pressure serving as a crucial indicator. Arterial blood pressure (ABP) waveforms provide continuous pressure measurements throughout the cardiac cycle and…

Machine Learning · Computer Science 2024-03-01 Lingfeng Li , Xue-Cheng Tai , Raymond Chan

Echocardiography (echo) is an indispensable tool in a cardiologist's diagnostic armamentarium. To date, almost all echocardiographic parameters require time-consuming manual labeling and measurements by an experienced echocardiographer and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-26 Mohamed Y. Elwazir , Zeynettin Akkus , Didem Oguz , Jae K. Oh

Channel and frequency offset estimation is a classic topic with a large body of prior work using mainly maximum likelihood (ML) approach together with Cram\'er-Rao Lower bounds (CRLB) analysis. We provide the maximum a posteriori (MAP)…

Signal Processing · Electrical Eng. & Systems 2019-05-13 Mingda Zhou , Zhe Feng , Xinming Huang , Youjian , Liu

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

Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbidity and mortality worldwide. Identifying those at highest risk of deterioration would allow more effective distribution of preventative and surveillance resources.…

Computer Vision and Pattern Recognition · Computer Science 2019-05-29 David Chettrit , Orna Bregman Amitai , Itamar Tamir , Amir Bar , Eldad Elnekave

Electroanatomic mapping as routinely acquired in ablation therapy of ventricular tachycardia is the gold standard method to identify the arrhythmogenic substrate. To reduce the acquisition time and still provide maps with high spatial…

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,…

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…

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

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…

Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based…

Computational fluid dynamics (CFD) based simulation of coronary blood flow provides valuable hemodynamic markers, such as pressure gradients, for diagnosing coronary artery disease (CAD). However, CFD is computationally expensive,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Rene Lisasi , Michele Esposito , Chen Zhao

Photoplethysmogram (PPG) signal-based blood pressure (BP) estimation is a promising candidate for modern BP measurements, as PPG signals can be easily obtained from wearable devices in a non-invasive manner, allowing quick BP measurement.…

Signal Processing · Electrical Eng. & Systems 2021-03-01 Hyeongju Kim , Woo Hyun Kang , Hyeonseung Lee , Nam Soo Kim

Purpose: To show some preliminary results about the possibility to exploit a cardiovascular mathematical model - made patient-specific by noninvasive data routinely measured during ordinary clinical examinations - in order to obtain…

Medical Physics · Physics 2021-01-22 Caterina Gallo , Joakim Olbers , Luca Ridolfi , Stefania Scarsoglio , Nils Witt

Atrial fibrillation (AF) is the most common arrhythmia, increasing the risk of stroke, heart failure, and other cardiovascular complications. While AF detection algorithms perform well in identifying persistent AF, early-stage progression,…

Machine Learning · Computer Science 2025-08-28 Yongbin Lee , Ki H. Chon

Seizure forecasting may provide patients with timely warnings to adapt their daily activities and help clinicians deliver more objective, personalized treatments. While recent work has convincingly demonstrated that seizure risk assessment…

Neurons and Cognition · Quantitative Biology 2019-06-10 Christian Meisel , Rima El Atrache , Michele Jackson , Sarah Schubach , Claire Ufongene , Tobias Loddenkemper

Deep Learning (DL) has developed to become a corner-stone in many everyday applications that we are now relying on. However, making sure that the DL model uses the underlying hardware efficiently takes a lot of effort. Knowledge about…

Performance · Computer Science 2023-03-22 Karthick Panner Selvam , Mats Brorsson

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

Accurate and reproducible measurements of the aortic diameters are crucial for the diagnosis of cardiovascular diseases and for therapeutic decision making. Currently, these measurements are manually performed by healthcare professionals,…

Image and Video Processing · Electrical Eng. & Systems 2020-09-11 Axel Aguerreberry , Ezequiel de la Rosa , Alain Lalande , Elmer Fernandez