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Related papers: Cuffless Blood Pressure Estimation from Electrocar…

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Owing to the recent advancements in wearable devices for health care, the importance of BP estimation without cuffs increases. Cuff technologies are inappropriate for continuous BP measurement due to their inconvenient usage, invasive…

Signal Processing · Electrical Eng. & Systems 2026-05-05 Vaibhav Gollapalli , Aniruth Ananthanarayanan

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

Non-invasive and continuous blood pressure (BP) monitoring is essential for the early prevention of many cardiovascular diseases. Estimating arterial blood pressure (ABP) from photoplethysmography (PPG) has emerged as a promising solution.…

Machine Learning · Computer Science 2025-03-18 Soumitra Kundu , Gargi Panda , Saumik Bhattacharya , Aurobinda Routray , Rajlakshmi Guha

Background: In recent years automated data analysis techniques have drawn great attention and are used in almost every field of research including biomedical. Artificial Neural Networks (ANNs) are one of the Computer- Aided- Diagnosis tools…

Neural and Evolutionary Computing · Computer Science 2012-11-08 M. Bazarghan , Y. Jaberi , R. Amandi , M. Abedi

Cardiovascular disease has become one of the most significant threats endangering human life and health. Recently, Electrocardiogram (ECG) monitoring has been transformed into remote cardiac monitoring by Holter surveillance. However, the…

Signal Processing · Electrical Eng. & Systems 2022-01-26 Peng Wang , Zihuai Lin , Xucun Yan , Zijiao Chen , Ming Ding , Yang Song , Lu Meng

Photoplethysmogram (PPG) and electrocardiogram (ECG) are commonly recorded in intesive care unit (ICU) and operating room (OR). However, the high incidence of poor, incomplete, and inconsistent signal quality, can lead to false alarms or…

Machine Learning · Computer Science 2025-09-16 Zongheng Guo , Tao Chen , Manuela Ferrario

Objectives: This study examines human Photoplethysmogram (PPG) along with Electrocardiogram (ECG) signals to study cardiac autonomic imbalance in epileptic seizures. The significance and the prevalence of changes in PPG morphological…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Seyede Mahya Safavi , Ninaz Valisharifabad , Robert Sabino , Hsinchung Chen , Ali HeydariGorji , Demi Tran , Jack Lin , Beth Lopour , Pai H. Chou

Stress has emerged as a critical global health issue, contributing to cardiovascular disorders, depression, and several other long-term illnesses. Consequently, accurate and reliable stress monitoring systems are of growing importance. In…

Signal Processing · Electrical Eng. & Systems 2025-09-03 Md. Mohibbul Haque Chowdhury , Nafisa Anjum , Md. Rokonuzzaman Mim

Early management and better clinical outcomes for epileptic patients depend on seizure prediction. The accuracy and false alarm rates of existing systems are often compromised by their dependence on static thresholds and basic…

Signal Processing · Electrical Eng. & Systems 2025-01-29 Mathan Kumar Mounagurusamy , Thiyagarajan V S , Abdur Rahman , Shravan Chandak , D. Balaji , Venkateswara Rao Jallepalli

Diagnosis of cardiovascular diseases usually relies on the widely used standard 12-Lead (S12) ECG system. However, such a system could be bulky, too resource-intensive, and too specialized for personalized home-based monitoring. In…

Signal Processing · Electrical Eng. & Systems 2023-08-15 Rahul LR , Albert Shaiju , Soumya Jana

Hypertension is commonly referred to as the "silent killer", since it can lead to severe health complications without any visible symptoms. Early detection of hypertension is crucial in preventing significant health issues. Although some…

Signal Processing · Electrical Eng. & Systems 2023-08-07 Navid Hasanzadeh , Shahrokh Valaee , Hojjat Salehinejad

Early detection of heart arrhythmia can prevent severe future complications in cardiac patients. While manual diagnosis still remains the clinical standard, it relies heavily on visual interpretation and is inherently subjective. In recent…

Machine Learning · Computer Science 2025-11-05 Rohith Shinoj Kumar , Rushdeep Dinda , Aditya Tyagi , Annappa B. , Naveen Kumar M. R

Heart rate (HR) estimation from photoplethysmography (PPG) signals is a key feature of modern wearable devices for health and wellness monitoring. While deep learning models show promise, their performance relies on the availability of…

In this work, blood pressure eleven years ahead is modeled using data from a longitudinal population-based health survey, the Trondelag Health (HUNT) Study, while accounting for missing data due to dropout between consecutive surveys (20-50…

Acoustic signals are crucial for health monitoring, particularly heart sounds which provide essential data like heart rate and detect cardiac anomalies such as murmurs. This study utilizes a publicly available phonocardiogram (PCG) dataset…

Sound · Computer Science 2024-07-29 Jingping Nie , Ran Liu , Behrooz Mahasseni , Erdrin Azemi , Vikramjit Mitra

High-frequency physiological waveform modality offers deep, real-time insights into patient status. Recently, physiological foundation models based on Photoplethysmography (PPG), such as PPG-GPT, have been shown to predict critical events,…

Machine Learning · Computer Science 2025-09-29 Saurabh Kataria , Davood Fattahi , Minxiao Wang , Ran Xiao , Matthew Clark , Timothy Ruchti , Mark Mai , Xiao Hu

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…

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

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

Cardiovascular waveforms contain information for clinical diagnosis. By "learning" and organizing the subtle change of waveform morphology from large amounts of raw waveform data, unsupervised manifold learning helps delineate a…

Quantitative Methods · Quantitative Biology 2019-12-03 Shen-Chih Wang , Hau-Tieng Wu , Po-Hsun Huang , Cheng-Hsi Chang , Chien-Kun Ting , Yu-Ting Lin
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