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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…

Objective: The paper focuses on development of robust and accurate processing solutions for continuous and cuff-less blood pressure (BP) monitoring. In this regard, a robust deep learning-based framework is proposed for computation of low…

Machine Learning · Computer Science 2022-01-03 Soheil Zabihi , Elahe Rahimian , Fatemeh Marefat , Amir Asif , Pedram Mohseni , Arash Mohammadi

The presented study aims to estimate blood pressure (BP) using photoplethysmogram (PPG) signals while employing multiple machine learning models. The study proposes a novel algorithm for signal reconstruction, which utilizes the…

Signal Processing · Electrical Eng. & Systems 2023-01-23 Aayushman Ghosh , Sayan Sarkar , Jayant Kalra

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

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

Blood Pressure (BP) estimation plays a pivotal role in diagnosing various health conditions, highlighting the need for innovative approaches to overcome conventional measurement challenges. Leveraging machine learning and speech signals,…

Machine Learning · Computer Science 2023-11-28 Vaishali Rajput , Preeti Mulay , Rajeev Raje

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

Cuffless blood pressure screening based on easily acquired photoplethysmography (PPG) signals offers a practical pathway toward scalable cardiovascular health assessment. Despite rapid progress, existing PPG-based blood pressure estimation…

Machine Learning · Computer Science 2026-02-05 Neville Mathew , Yidan Shen , Renjie Hu , Maham Rahimi , George Zouridakis

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

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

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

This research presents a novel method for noninvasive arterial blood pressure ABP prediction using speech signals employing a BERT based regression model Arterial blood pressure is a vital indicator of cardiovascular health and accurate…

Machine Learning · Computer Science 2025-09-25 Kainat

Accurate noninvasive estimation of intracranial pressure (ICP) remains a major challenge in critical care. We developed a bespoke machine learning algorithm that integrates system identification and ranking-constrained optimization to…

Accurate and continuous blood pressure (BP) monitoring is essential to the early prevention of cardiovascular diseases. Non-invasive and cuff-less BP estimation algorithm has gained much attention in recent years. Previous studies have…

Machine Learning · Computer Science 2023-11-27 Bufang Yang , Le Liu , Wenxuan Wu , Mengliang Zhou , Hongxing Liu , Xinbao Ning

This paper presents a novel approach based on pulse transit time (PTT) for the estimation of blood pressure (BP). In order to achieve this goal, a data acquisition hardware is designed for high-resolution sampling of phonocardiogram (PCG)…

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

Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent of medical complications. Current cuffless approaches to…

Machine Learning · Computer Science 2021-11-30 Rishi Vardhan K , Vedanth S , Poojah G , Abhishek K , Nitish Kumar M , Vineeth Vijayaraghavan

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…

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

Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital (life-sustaining) functions. BP is difficult to continuously monitor using a sphygmomanometer (i.e. a blood pressure cuff), especially in…

Machine Learning · Computer Science 2021-08-03 Ali Tazarv , Marco Levorato

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
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