Article
Computer Science, Interdisciplinary Applications
Liam Murphy, J. Geoffrey Chase
Summary: This study proposes a novel method for accurately estimating central blood pressure using only a single peripheral pressure measurement, without the need for additional clinical measurements. The method allows for the individualization of transfer functions to better capture changes in patient condition during disease progression and treatment.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Engineering, Biomedical
Samuel Vennin, Ye Li, Jorge Mariscal-Harana, Peter H. Charlton, Henry Fok, Haotian Gu, Phil Chowienczyk, Jordi Alastruey
Summary: A novel method is presented to divide the central blood pressure wave into five components based on the pulse wave generation and reflection at the aortic root. The study reveals that ventricular-aortic coupling is the main determinant in the elevation of pulsatile pulse pressure, suggesting it as a prime therapeutic target for preventing/treating systolic hypertension.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Review
Chemistry, Analytical
Shiyun Li, Can Zhang, Zhirui Xu, Lihua Liang, Ye Tian, Long Li, Huaping Wu, Sheng Zhong
Summary: This paper evaluates the developments and future research trends in the field of cuffless blood pressure monitoring using bibliometric analysis. It identifies machine learning technologies as widely applied in blood pressure monitoring and suggests improving accuracy and achieving portability and miniaturization as future goals.
Article
Peripheral Vascular Disease
Bart Spronck, Isabella Tan, Koen D. Reesink, Dana Georgevsky, Tammo Delhaas, Alberto P. Avolio, Mark Butlin
Summary: The study found that measured and calculated PWV have different dependencies on heart rate (HR) and blood pressure (BP), potentially due to approximations made in using systolic and diastolic values to calculate distensibility.
JOURNAL OF HYPERTENSION
(2021)
Article
Peripheral Vascular Disease
Ramachandran S. Vasan, Rebecca J. Song, Vanessa Xanthakis, Gary F. Mitchell
Summary: Higher central pulse pressure is associated with higher CFPWV and increased CVD risk. Smaller AoR is linked to higher central pulse pressure. The study found that the combination of smaller AoR and higher CFPWV is associated with increased CVD risk, especially in men. The prognostic significance of AoR size varies between men and women. Further studies are needed to confirm the findings.
Article
Engineering, Electrical & Electronic
Burcu Erkursun, Atila Ucar, Ahmet Tekin
Summary: This study used a new non-invasive sensor design to measure PWV and analyzed the relationship between PWV and blood pressure parameters, finding a strong linear correlation between SBP and PWV. This suggests the potential use of PWV as a screening tool for identifying continuous SBP values in clinical practice.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Biophysics
Arian Aghilinejad, Faisal Amlani, Jing Liu, Niema M. Pahlevan
Summary: This study examined the accuracy of estimating wave intensity using only single pressure waveform measurements, showing that pressure-only wave intensity estimations are accurate when forward contributions are the main focus and only for carotid pressure waveforms. These findings provide an important opportunity for uncovering clinical insights through wave analysis in an affordable and non-invasive manner.
PHYSIOLOGICAL MEASUREMENT
(2021)
Article
Engineering, Biomedical
Denesh Sooriamoorthy, S. Anandan Shanmugam, M. A. Juman
Summary: The study developed an Electrical Impedance Function (EIF) to estimate central aortic blood pressure waveforms from radial waveforms non-invasively, showing comparable or better performance to existing methods and better signal shape retention at the dicrotic notch, making it potentially viable for non-invasive central blood pressure monitoring due to its low computation time and high accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Review
Cardiac & Cardiovascular Systems
Alicia Saz-Lara, Rosa Maria Bruno, Ivan Cavero-Redondo, Celia Alvarez-Bueno, Blanca Notario-Pacheco, Vicente Martinez-Vizcaino
Summary: This systematic review and meta-analysis found that arterial stiffness, systolic blood pressure, and diastolic blood pressure are associated with incident hypertension. These findings are clinically important for the prevention of arterial hypertension and reducing cardiovascular morbidity and mortality.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Chemistry, Analytical
Mohamed Yacin Sikkandar, Sridharan Padmanabhan, Bobby Mohan, Ibrahim AlMohimeed, Ahmad Alassaf, Shady A. Alshewaier, Ali Abdullah Almukil, Sabarunisha Begum
Summary: This paper presents the feasibility of automated and accurate in vivo measurements of vascular parameters using an ultrasound sensor. They developed a continuous and non-invasive Vascular Stiffness and Arterial Compliance Screener (CaNVAS) to assess cardiovascular disorders by measuring parameters such as pulse wave velocity. The device showed good accuracy and reliability as validated in the study.
Article
Biology
Shuo Du, Yang Yao, Guozhe Sun, Ramakrishna Mukkamala, Lisheng Xu
Summary: This paper proposes a completely adaptive transfer function (CATF) method based on an autoregressive exogenous (ARX) model for estimating the aortic pressure waveform. The proposed method adjusts both the gain and phase of the transfer function simultaneously and achieves more accurate estimations compared to traditional methods.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Chemistry, Analytical
Lovedeep Singh, Sungjin You, Byung Jang Jeong, Chiwan Koo, Youngwook Kim
Summary: This paper proposes a method for remotely estimating a human subject's blood pressure using a millimeter-wave radar system. It investigates the use of pulse wave velocity (PWV) and the area under the curve (AUC) as features to measure blood pressure. The experiment shows that artificial neural networks can accurately estimate systolic and diastolic blood pressure with low root mean square errors.
Article
Computer Science, Interdisciplinary Applications
Hanlin Mou, Junsheng Yu
Summary: The manuscript proposes a method for estimating blood pressure of multiple patients based on PW data, by combining the CNN-GRU model and transfer learning approach with DWT-based k-means clustering algorithm.
JOURNAL OF COMPUTATIONAL SCIENCE
(2022)
Article
Peripheral Vascular Disease
Cara Esposito, Priscilla Machado, Ira S. Cohen, Praveen Mehrotra, Michael Savage, David Fischman, Marguerite Davis, Nicholas Ruggiero, Paul Walinsky, Maureen E. McDonald, Kristopher Dickie, Flemming Forsberg, Jaydev K. Dave
Summary: This study compared noninvasive estimation of aortic pressures with pressure catheter measurements and analyzed the impact of a linear-fit function. The results showed that the linear-fit function reduced the errors to an acceptable range.
AMERICAN JOURNAL OF HYPERTENSION
(2022)
Review
Peripheral Vascular Disease
Stephane Laurent, Claudia Agabiti-Rosei, Rosa Maria Bruno, Damiano Rizzoni
Summary: Microcirculation and macrocirculation form a dangerous cross-link in hypertension, leading to vessel damage and elevated blood pressure. This vicious cycle can be reversed through pharmacological treatment.
