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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…

信号处理 · 电气工程与系统科学 2023-01-25 Niloufar Delfan , Mohamad Forouzanfar

Regular blood pressure (BP) monitoring in clinical and ambulatory settings plays a crucial role in the prevention, diagnosis, treatment, and management of cardiovascular diseases. Recently, the widespread adoption of ambulatory BP…

医学物理 · 物理学 2023-12-19 Seyedeh Somayyeh Mousavi , Matthew A. Reyna , Gari D. Clifford , Reza Sameni

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…

医学物理 · 物理学 2021-01-22 Caterina Gallo , Joakim Olbers , Luca Ridolfi , Stefania Scarsoglio , Nils Witt

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…

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…

信号处理 · 电气工程与系统科学 2018-11-19 Armin Soltan Zadi , Raichel M. Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

In this paper we present an acquisition chain for the measurement of blood arterial pressure based on the oscillometric method. This method does not suffer from any limitation as the well-known auscultatory method and it is suited for…

医学物理 · 物理学 2015-01-14 Gennaro Gelao , Roberto Marani , Vittorio M. N. Passaro , Anna Gina Perri

Extensive research has been performed on continuous, non-invasive, cuffless blood pressure (BP) measurement using artificial intelligence algorithms. This approach involves extracting certain features from physiological signals like ECG,…

医学物理 · 物理学 2023-04-03 Ali Farki , Reza Baradaran Kazemzadeh , Elham Akhondzadeh Noughabi

High blood pressure (hypertension) is the number one risk factor for premature death. Hypertension is asymptomatic, so blood pressure must be regularly monitored to diagnose it. In auscultatory blood pressure measurement, a patient's…

医学物理 · 物理学 2025-01-20 Kate Bassil , Anurag Agarwal

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…

信号处理 · 电气工程与系统科学 2025-12-02 Yiqiao Chen , Fazheng Xu , Zijian Huang , Juchi He , Zhenghui Feng

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…

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…

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…

信号处理 · 电气工程与系统科学 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.…

信号处理 · 电气工程与系统科学 2021-03-01 Hyeongju Kim , Woo Hyun Kang , Hyeonseung Lee , Nam Soo Kim

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…

信号处理 · 电气工程与系统科学 2018-11-07 Md. Sayed Tanveer , Md. Kamrul Hasan

Continuous and noninvasive monitoring of blood pressure has numerous clinical and fitness applications. Current methods of continuous measurement of blood pressure are either invasive and/or require expensive equipment. Therefore, we…

信号处理 · 电气工程与系统科学 2018-11-16 Armin Soltan Zadi , Raichel Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

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,…

Large language models (LLMs) have captured significant interest from both academia and industry due to their impressive performance across various textual tasks. However, the potential of LLMs to analyze physiological time-series data…

信号处理 · 电气工程与系统科学 2024-07-08 Zengding Liu , Chen Chen , Jiannong Cao , Minglei Pan , Jikui Liu , Nan Li , Fen Miao , Ye Li

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…

信号处理 · 电气工程与系统科学 2026-05-05 Vaibhav Gollapalli , Aniruth Ananthanarayanan

Measurement errors usually arise during the longitudinal data collection process. Ignoring the effects of measurement errors will lead to invalid estimates. The Lifestyle Education for Activity and Nutrition (LEAN) study was designed to…

统计方法学 · 统计学 2022-07-05 Yuexia Zhang , Guoyou Qin , Zhongyi Zhu , Jiajia Zhang

Continuous monitoring of blood oxygen saturation levels is vital for patients with pulmonary disorders. Traditionally, SpO$_2$ monitoring has been carried out using transmittance pulse oximeters due to its dependability. However, SpO$_2$…

信号处理 · 电气工程与系统科学 2020-04-15 Sricharan Vijayarangan , Prithvi Suresh , Preejith SP , Jayaraj Joseph , Mohansankar Sivaprakasam
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