Continuous blood pressure measurement based on a neural network scheme applied with a cuffless sensor

Tu, Tse-Yi; Chao, Paul C.-P.

doi:10.1007/s00542-018-3957-4

Cited by 18 publications

(8 citation statements)

References 11 publications

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“…BPNN is a multi-layer feed-forward network, which is one of the most widely used neural network models at present. Based on the cardiovascular hemodynamics, Tu et al estimated systolic blood pressure and diastolic blood pressure using the BPNN and showed that the coefficient of determination is more than 0.78 [95].…”

Section: ) Artificial Intelligence Methodsmentioning

confidence: 99%

Analysis of the Radial Pulse Wave and its Clinical Applications: A Survey

Yang

Liu

et al. 2021

IEEE Access

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Section: ) Artificial Intelligence Methodsmentioning

confidence: 99%

Analysis of the Radial Pulse Wave and its Clinical Applications: A Survey

Yang

Liu

et al. 2021

IEEE Access

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“…Based on the features above, the system changes over time. The studies after Moens-Korteweg discovered the similarity between PWV and blood pressure (BP), and have focused on PWV or PTT-BP regression analysis [78], artificial neural networks [79,80], and deep neural networks [82]. Blood pressure measurement is performed by using the ultrasonic measurement method.…”

Section: Noninvasive Blood Pressure Measurement Using Nonocclusive Methodsmentioning

confidence: 99%

Towards wearable blood pressure measurement systems from biosignals: a review

Şentürk¹,

Polat²,

Yücedağ³

2019

Turk J Elec Eng & Comp Sci

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Blood pressure is the pressure by the blood to the vein wall. High blood pressure, which is called silent death, is the cause of nearly 13% of mortality all over the world. Blood pressure is not only measured in the medical environment, but the blood pressure measurement is also a need for people in their daily life. Blood pressure estimation systems with low error rates have been developed besides the new technologies and algorithms. Blood pressure measurements are differentiated as invasive blood pressure (IBP) measurement and noninvasive blood pressure (NIBP) measurement methods. Although IBP measurement provides the most accurate results, it cannot be used in daily life because it can only be performed by qualified medical staff with specialized medical equipment. NIBP measurement is based on measuring physiological signals taken from the body and producing results with decision mechanisms. Oscillometric, pulse transit time (PTT), pulse wave velocity, and feature extraction methods are mentioned in the literature as NIBP.In the oscillometric method of the sphygmomanometer, an electrocardiogram is used in PTT methods as a result of the comparison of signals such as electrocardiography, photoplethysmography, ballistocardiography, and seismocardiography.The increase in the human population and worldwide deaths due to the highly elevated blood pressure makes the need for precise measurements and technological devices more clear. Today, wearable technologies and sensors have been frequently used in the health sector. In this review article, the invasive and noninvasive blood pressure methods, including various biosignals, have been investigated and then compared with each other concerning the measurement of comfort and robust estimation.

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“…The solution, often, is to simplify the multicomponent vasculature to models with a single cell type and a homogenous extracellular matrix that hardly represent the native environment. Table 2 shows average parameters for each blood vessel type, including diameter, wall thickness, and hemodynamic cues (shear rate and shear stress) 120–123 . The broadness of each parameter highlights once more the differences between blood vessels and the need to consider their anatomical characteristics in research models.…”

Section: Mimicking the Vasculaturementioning

confidence: 99%

Organ‐on‐a‐chip technologies for biomedical research and drug development: A focus on the vasculature

2023

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Current biomedical models fail to replicate the complexity of human biology.Consequently, almost 90% of drug candidates fail during clinical trials after decades of research and billions of investments in drug development. Despite their physiological similarities, animal models often misrepresent human responses, and instead, trigger ethical and societal debates regarding their use. The overall aim across regulatory entities worldwide is to replace, reduce, and refine the use of animal experimentation, a concept known as the Three Rs principle. In response, researchers develop experimental alternatives to improve the biological relevance of in vitro models through interdisciplinary approaches. This article highlights the emerging organ-on-a-chip technologies, also known as microphysiological systems, with a focus on models of the vasculature. The cardiovascular system transports all necessary substances, including drugs, throughout the body while in charge of thermal regulation and communication between other organ systems. In addition, we discuss the benefits, limitations, and challenges in the widespread use of new biomedical models. Coupled with patient-derived induced pluripotent stem cells, organon-a-chip technologies are the future of drug discovery, development, and personalized medicine. K E Y W O R D Sbiomedical, microphysiological systems, models, organ-on-a-chip, vasculatureThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Continuous blood pressure measurement based on a neural network scheme applied with a cuffless sensor

Cited by 18 publications

References 11 publications

Analysis of the Radial Pulse Wave and its Clinical Applications: A Survey

Analysis of the Radial Pulse Wave and its Clinical Applications: A Survey

Towards wearable blood pressure measurement systems from biosignals: a review

Organ‐on‐a‐chip technologies for biomedical research and drug development: A focus on the vasculature

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