Cobalamin restriction with AIN-93M chow modification: Hematology and cardiovascular parameter assessment

2019 ◽  
Author(s):  
Patwa Amani ◽  
Ani Retno Prijanti ◽  
Ahmad Aulia Jusuf ◽  
Neng Tine Kartinah ◽  
Irena Ujianti ◽  
...  
Keyword(s):  
Cardiovascular Parameter

scholarly journals Blue as an Underrated Alternative to Green: Photoplethysmographic Heartbeat Intervals Estimation under Two Temperature Conditions

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4241
Author(s):  
Evgeniia Shchelkanova ◽  
Liia Shchapova ◽  
Alexander Shchelkanov ◽  
Tomohiro Shibata
Keyword(s):  
Blue Light ◽  
Characteristic Point ◽  
Biological Effects ◽  
Green Light ◽  
Estimation Accuracy ◽  
Lower Sensitivity ◽  
Light Spectrum ◽  
Cardiovascular Parameter ◽  
Temperature Conditions ◽  
Characteristic Points

Since photoplethysmography (PPG) sensors are usually placed on open skin areas, temperature interference can be an issue. Currently, green light is the most widely used in the reflectance PPG for its relatively low artifact susceptibility. However, it has been known that hemoglobin absorption peaks at the blue part of the spectrum. Despite this fact, blue light has received little attention in the PPG field. Blue wavelengths are commonly used in phototherapy. Combining blue light-based treatments with simultaneous blue PPG acquisition could be potentially used in patients monitoring and studying the biological effects of light. Previous studies examining the PPG in blue light compared to other wavelengths employed photodetectors with inherently lower sensitivity to blue, thereby biasing the results. The present study assessed the accuracy of heartbeat intervals (HBIs) estimation from blue and green PPG signals, acquired under baseline and cold temperature conditions. Our PPG system is based on TCS3472 Color Sensor with equal sensitivity to both parts of the light spectrum to ensure unbiased comparison. The accuracy of the HBIs estimates, calculated with five characteristic points (PPG systolic peak, maximum of the first PPG derivative, maximum of the second PPG derivative, minimum of the second PPG derivative, and intersecting tangents) on both PPG signal types, was evaluated based on the electrocardiographic values. The statistical analyses demonstrated that in all cases, the HBIs estimation accuracy of blue PPG was nearly equivalent to the G PPG irrespective of the characteristic point and measurement condition. Therefore, blue PPG can be used for cardiovascular parameter acquisition. This paper is an extension of work originally presented at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

scholarly journals Corrigendum

2018 ◽  
Vol 12 (4) ◽  
pp. 349-349
Keyword(s):  
Clinical Research ◽  
Nutritional Supplements ◽  
Patient Survey ◽  
Executive Board ◽  
Cardiovascular Parameter ◽  
Lifestyle Medicine ◽  
Non Profit ◽  
Nutritional Interventions ◽  
Health Related

Fuhrman J. Dietary Protocols to Maximize Disease Reversal and Long-Term Safety. American Journal of Lifestyle Medicine. 2015; 9: 343-353. Original DOI: 10.1177/1559827615580971 Fuhrman J, Michael S. Improved Cardiovascular Parameter with a Nutrient-Dense, Plant-Rich Diet-Style: A Patient Survey with Illustrative Cases. American Journal of Lifestyle Medicine. 2017; 11: 264-273. Original DOI: 10.1177/1559827615611024 In the above articles, the author disclosed the following financial relationships: The author maintains a website at https://www.drfuhrman.com , which sells nutritional supplements and other health-related products. The author also serves on the Executive Board of the Nutritional Research Foundation, a non-profit that promotes clinical research that includes nutritional interventions on chronic diseases, and includes the Fuhrman Longevity Society among its initiatives. More information is available at its website at https://www.nutritionalresearch.org .

scholarly journals Cardiovascular Modeling With Adapted Parametric Inference

2018 ◽  
Vol 62 ◽  
pp. 91-107 ◽  
Author(s):  
Didier Lucor ◽  
Olivier P. Le Maître
Keyword(s):  
Approximation Error ◽  
Surrogate Models ◽  
Patient Specific ◽  
System Response ◽  
Cardiovascular Parameter ◽  
Monte Carlo Algorithms ◽  
Statistical Framework ◽  
Posterior Sampling ◽  
Powerful Approach ◽  
Parameter Values

Computational modeling of the cardiovascular system, promoted by the advance of fluid-structure interaction numerical methods, has made great progress towards the development of patient-specific numerical aids to diagnosis, risk prediction, intervention and clinical treatment. Nevertheless, the reliability of these models is inevitably impacted by rough modeling assumptions. A strong in-tegration of patient-specific data into numerical modeling is therefore needed in order to improve the accuracy of the predictions through the calibration of important physiological parameters. The Bayesian statistical framework to inverse problems is a powerful approach that relies on posterior sampling techniques, such as Markov chain Monte Carlo algorithms. The generation of samples re-quires many evaluations of the cardiovascular parameter-to-observable model. In practice, the use of a full cardiovascular numerical model is prohibitively expensive and a computational strategy based on approximations of the system response, or surrogate models, is needed to perform the data as-similation. As the support of the parameters distribution typically concentrates on a small fraction of the initial prior distribution, a worthy improvement consists in gradually adapting the surrogate model to minimize the approximation error for parameter values corresponding to high posterior den-sity. We introduce a novel numerical pathway to construct a series of polynomial surrogate models, by regression, using samples drawn from a sequence of distributions likely to converge to the posterior distribution. The approach yields substantial gains in efficiency and accuracy over direct prior-based surrogate models, as demonstrated via application to pulse wave velocities identification in a human lower limb arterial network.

Wavelet Based Measurement on Photoplethysmography by Smartphone Imaging

2013 ◽  
Vol 380-384 ◽  
pp. 773-777 ◽  
Author(s):  
Bin Ju ◽  
Yun Tao Qian ◽  
Huo Jie Ye
Keyword(s):  
Vascular Resistance ◽  
High Frequency ◽  
Pulse Wave ◽  
Cardiovascular Parameter ◽  
Video Cameras ◽  
Filtering Algorithm ◽  
Wave Signal ◽  
Light Interference ◽  
Critical Characteristic

[Purpose] Smartphones video cameras can be used to detect the photoplethysmograph (PPG) signal.The pulse wave signal detected by smartphone always mixed mass noise because of finger moving, unevenness of pressure and outer light interference. Previous studies limit to the filtering algorithm that denoising signals, without considering characteristics information of pulse wave itself. [Method] In this paper, we propose an algorithm based on wavelet to detect qualified PPG, which captures three critical characteristic quantities through wavelet high frequency coefficient. [Results] Experiment illustrates that the detected PPG signal contain dicrotic wave, and whats more, further experiment on artery elasticity indexes indicates good robust of the algorithm. [Conclusions] Wavelet Based Measurement on Photoplethysmography by Smartphone Imaging can be used for the calculation of cardiovascular parameter such as angiosclerosis, arrhythmia, and vascular resistance.

scholarly journals Monoaminergic Receptors as Modulators of the Perivascular Sympathetic and Sensory CGRPergic Outflows

2020 ◽  
Vol 18 (9) ◽  
pp. 790-808
Author(s):  
Bruno A. Marichal-Cancino ◽  
Abimael González-Hernández ◽  
Enriqueta Muñoz-Islas ◽  
Carlos M. Villalón
Keyword(s):  
Blood Pressure ◽  
Blood Vessels ◽  
Peripheral Vascular ◽  
Cardiovascular Parameter ◽  
Body Tissues ◽  
Pithed Rats ◽  
Calcitonin Gene ◽  
Adequate Blood Supply ◽  
Sensory Fibers ◽  
Monoaminergic Mechanisms

Blood pressure is a highly controlled cardiovascular parameter that normally guarantees an adequate blood supply to all body tissues. This parameter is mainly regulated by peripheral vascular resistance and is maintained by local mediators (i.e., autacoids), and by the nervous and endocrine systems. Regarding the nervous system, blood pressure can be modulated at the central level by regulating the autonomic output. However, at peripheral level, there exists a modulation by activation of prejunctional monoaminergic receptors in autonomic- or sensory-perivascular fibers. These modulatory mechanisms on resistance blood vessels exert an effect on the release of neuroactive substances from the autonomic or sensory fibers that modify blood pressure. Certainly, resistance blood vessels are innervated by perivascular: (i) autonomic sympathetic fibers (producing vasoconstriction mainly by noradrenaline release); and (ii) peptidergic sensory fibers [producing vasodilatation mainly by calcitonin gene-related peptide (CGRP) release]. In the last years, by using pithed rats, several monoaminergic mechanisms for controlling both the sympathetic and sensory perivascular outflows have been elucidated. Additionally, several studies have shown the functions of many monoaminergic auto-receptors and hetero-receptors expressed on perivascular fibers that modulate neurotransmitter release. On this basis, the present review: (i) summarizes the modulation of the peripheral vascular tone by adrenergic, serotoninergic, dopaminergic, and histaminergic receptors on perivascular autonomic (sympathetic) and sensory fibers, and (ii) highlights that these monoaminergic receptors are potential therapeutic targets for the development of novel medications to treat cardiovascular diseases (with some of them explored in clinical trials or already in clinical use).

scholarly journals Cardiovascular Parameter Changes in Patients With Erectile Dysfunction Using Pde-5 Inhibitors: A Study With Sildenafil and Vardenafil

2004 ◽  
Vol 25 (4) ◽  
pp. 625-629 ◽  
Author(s):  
Giorgio Pomara ◽  
Girolamo Morelli ◽  
Salvatore Pomara ◽  
Stefano Taddei ◽  
Lorenzo Ghiadoni ◽  
...  
Keyword(s):  
Erectile Dysfunction ◽  
Cardiovascular Parameter

scholarly journals The evaluation of zebrafish cardiovascular and behavioral functions through microfluidics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Satishkumar Subendran ◽  
Yi-Chieh Wang ◽  
Yueh-Hsun Lu ◽  
Chia-Yuan Chen
Keyword(s):  
Visual Cues ◽  
Comprehensive Evaluation ◽  
Hydrodynamic Pressure ◽  
Pressure Control ◽  
Optomotor Response ◽  
Cardiovascular Parameter ◽  
Moving Grids ◽  
Suction Control ◽  
Control Interface ◽  
Pressure Suction

AbstractThis study proposed a new experimental approach for the vascular and phenotype evaluation of the non-anesthetized zebrafish with representative imaging orientations for heart, pectoral fin beating, and vasculature views by means of the designed microfluidic device through inducing the optomotor response and hydrodynamic pressure control. In order to provide the visual cues for better positioning of zebrafish, computer-animated moving grids were generated by an in-house control interface which was powered by the larval optomotor response, in conjunction with the pressure suction control. The presented platform provided a comprehensive evaluation of internal circulation and the linked external behaviors of zebrafish in response to the cardiovascular parameter changes. The insights from these imaging sections was extended to identify the linkage between the cardiac parameters and behavioral endpoints. In addition, selected chemicals such as ethanol and caffeine were employed for the treatment of zebrafish. The obtained findings can be applicable for future investigation in behavioral drug screening serving as the forefront in psychopharmacological and cognition research.

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