Relevant bibliographies by topics / Arterial blood pressure estimation

Academic literature on the topic 'Arterial blood pressure estimation'

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Published: 14 March 2023

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Journal articles on the topic "Arterial blood pressure estimation"

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Soltan Zadi, Armin, Raichel Alex, Rong Zhang, Donald E. Watenpaugh, and Khosrow Behbehani. "Arterial blood pressure feature estimation using photoplethysmography." Computers in Biology and Medicine 102 (November 2018): 104–11. http://dx.doi.org/10.1016/j.compbiomed.2018.09.013.

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Zakharov, S. M. "Estimation of arterial pressure from pletismography data." Issues of radio electronics, no. 10 (October 31, 2019): 70–76. http://dx.doi.org/10.21778/2218-5453-2019-10-70-76.

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Continuous blood pressure monitoring is important for the prevention and early diagnosis of cardiovascular diseases, the number of which is growing worldwide. A method for measuring blood pressure (BP) based on a plethysmography signal is one of many simple methods for non-invasive monitoring of blood pressure. The article presents a comparative analysis of blood pressure signals and plethysmograms (PG) synchronized in time, as well as their spectral features. A certain temporal structural similarity of the BP and PG signals (correspondence of time intervals, amplitudes) with a simultaneous time shift of the PG signal was revealed. It is shown how adequately one can judge blood pressure, having only the captured PG data. As the time intervals, the minute sequence of cardiac cycles was chosen. It is noted that with appropriate calibration of PG signals, it is possible to estimate the average blood pressure value for several cardiac cycles. The results obtained can be used in the diagnosis of various pathologies.
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Zanderigo, Eleonora, Daniel Leibundgut, Franta Kraus, Rolf Wymann, and Manfred Morari. "REAL-TIME ESTIMATION OF MEAN ARTERIAL BLOOD PRESSURE." IFAC Proceedings Volumes 38, no. 1 (2005): 66–71. http://dx.doi.org/10.3182/20050703-6-cz-1902.02125.

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Ahn, Wonsik, and Young Jin Lim. "Mean arterial blood pressure estimation and its limitation." Canadian Journal of Anesthesia/Journal canadien d'anesthésie 52, no. 9 (November 2005): 1000–1001. http://dx.doi.org/10.1007/bf03022073.

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Baktash, Seddigheh, Mohamad Forouzanfar, Izmail Batkin, Miodrag Bolic, Voicu Z. Groza, Saif Ahmad, and Hilmi R. Dajani. "Characteristic Ratio-Independent Arterial Stiffness-Based Blood Pressure Estimation." IEEE Journal of Biomedical and Health Informatics 21, no. 5 (September 2017): 1263–70. http://dx.doi.org/10.1109/jbhi.2016.2594177.

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Muntinga, J. H., and K. R. Visser. "Estimation of blood pressure-related parameters by electrical impedance measurement." Journal of Applied Physiology 73, no. 5 (November 1, 1992): 1946–57. http://dx.doi.org/10.1152/jappl.1992.73.5.1946.

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In 13 healthy volunteers a computerized experimental set-up was used to measure the electrical impedance of the upper arm at changing cuff pressure, together with the finger arterial blood pressure in the contralateral arm. On the basis of a model for the admittance response, the arterial blood volume per centimeter length (1.4 +/- 0.3 ml/cm), the venous blood volume as a percentage of the total blood compartment (49.2 +/- 12.6%), and the total arterial compliance as a function of mean arterial transmural pressure were estimated. The effective physiological arterial compliance amounted to 2.0 +/- 1.3 microliters.mmHg-1.cm-1 and the maximum compliance to 33.4 +/- 12.0 microliters.mmHg-1.cm-1. Additionally, the extravascular fluid volume expelled by the occluding cuff (0.3 +/- 0.3 ml/cm) was estimated. These quantities are closely related to patient-dependent sources of an unreliable blood pressure measurement and vary with changes in cardiovascular function, such as those found in hypertension. Traditionally, a combination of several methods is needed to estimate them. Such methods, however, usually neglect the contribution of extravascular factors.
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Aguirre, Nicolas, Leandro J. Cymberknop, Edith Grall-Maës, Eugenia Ipar, and Ricardo L. Armentano. "Central Arterial Dynamic Evaluation from Peripheral Blood Pressure Waveforms Using CycleGAN: An In Silico Approach." Sensors 23, no. 3 (February 1, 2023): 1559. http://dx.doi.org/10.3390/s23031559.

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Arterial stiffness is a major condition related to many cardiovascular diseases. Traditional approaches in the assessment of arterial stiffness supported by machine learning techniques are limited to the pulse wave velocity (PWV) estimation based on pressure signals from the peripheral arteries. Nevertheless, arterial stiffness can be assessed based on the pressure–strain relationship by analyzing its hysteresis loop. In this work, the capacity of deep learning models based on generative adversarial networks (GANs) to transfer pressure signals from the peripheral arterial region to pressure and area signals located in the central arterial region is explored. The studied signals are from a public and validated virtual database. Compared to other works in which the assessment of arterial stiffness was performed via PWV, in the present work the pressure–strain hysteresis loop is reconstructed and evaluated in terms of classical machine learning metrics and clinical parameters. Least-square GAN (LSGAN) and Wasserstein GAN with gradient penalty (WGAN-GP) adversarial losses are compared, yielding better results with LSGAN. LSGAN mean ± standard deviation of error for pressure and area pulse waveforms are 0.8 ± 0.4 mmHg and 0.1 ± 0.1 cm2, respectively. Regarding the pressure–strain elastic modulus, it is achieved a mean absolute percentage error of 6.5 ± 5.1%. GAN-based deep learning models can recover the pressure–strain loop of central arteries while observing pressure signals from peripheral arteries.
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CLOUD, Geoffrey C., Chakravarthi RAJKUMAR, Jaspal KOONER, Jonathan COOKE, and Christopher J. BULPITT. "Estimation of central aortic pressure by SphygmoCor® requires intra-arterial peripheral pressures." Clinical Science 105, no. 2 (August 1, 2003): 219–25. http://dx.doi.org/10.1042/cs20030012.

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Central arterial pressure, measured close to the heart, may be of more patho-physiological importance than conventional non-invasive cuff blood pressure. The technique of applanation tonometry using SphygmoCor® has been proposed as a non-invasive method of estimating central pressure. This relies on mathematically derived generalized transfer functions, which have been previously validated using invasive peripheral pressure measurements. We compared simultaneous estimates of central aortic pressure using this technique with those measured directly during the routine diagnostic cardiac catheterization of 30 subjects (age range 27–84 years), half of whom were aged 65 years or more. This was done by applanating the left radial artery and recording the non-invasive brachial cuff blood pressure to generate a central aortic pressure estimate, using the SphygmoCor® radial transfer function. The comparative results were analysed using Bland—Altman plots of mean difference. SphygmoCor®, on average, underestimated systolic central arterial pressure by 13.3 mmHg and overestimated diastolic pressure by 11.5 mmHg. The results were similar in patients aged under and above 65 years. Furthermore, non-invasively measured brachial pressures were seen to give an overall closer estimate of the central arterial pressure than the SphygmoCor® system. The transfer function has been validated from invasively measured arterial pressures and the current use by the system of non-invasive measures may explain the discrepancies. However, age, drugs and arterial disease would also be expected to play a role.
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Gircys, Rolandas, Agnius Liutkevicius, Arunas Vrubliauskas, and Egidijus Kazanavicius. "Blood Pressure Estimation Accoording to Photoplethysmographic Signal Steepness." Information Technology And Control 44, no. 4 (December 18, 2015): 443–50. http://dx.doi.org/10.5755/j01.itc.44.4.12562.

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Abstract. The purpose of this paper is to prove the assumption that there is a correlation between the systolic blood pressure and the photoplethysmographic signal steepness. A method for indirect systolic blood pressure estimation based on photoplethysmographic signal steepness is proposed in this paper. Method: It is proved that based on Hooke’s law, the steepness of pressure and volume (diameter) of pulse waves differ by a constant. The coefficient for calculating arterial blood pressure when volume pulse wave steepness is known is presented in this paper. The Windkessel model is selected for the modeling. Experimental evaluation is based on veloergometrical trials. Volume pulse wave was obtained using a photoplethysmography device that is put on a finger. Blood pressure was measured using a semi-automatic OMRON blood pressure monitor. Results: The simulation of an arterial system using the Windkessel model shows that the steepness of pressure and volume pulse waves correlate. Ten veloergometrical trials were performed during the experimental evaluation. A significant 0.855±0.025 (p < 0.001) correlation between the photoplethysmographic signal steepness and the systolic blood pressure was obtained. The calculated and measured blood pressure values vary no more than ±5mmHg. Conclusions: The results demonstrate that the photoplethysmographic signal wavefront can be successfully applied in wearable devices that can be used for constant 24 hour registration of blood pressure for both home use and clinical practice.DOI: http://dx.doi.org/10.5755/j01.itc.44.4.12562
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Varsos, Georgios V., Angelos G. Kolias, Peter Smielewski, Ken M. Brady, Vassilis G. Varsos, Peter J. Hutchinson, John D. Pickard, and Marek Czosnyka. "A noninvasive estimation of cerebral perfusion pressure using critical closing pressure." Journal of Neurosurgery 123, no. 3 (September 2015): 638–48. http://dx.doi.org/10.3171/2014.10.jns14613.

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OBJECT Cerebral blood flow is associated with cerebral perfusion pressure (CPP), which is clinically monitored through arterial blood pressure (ABP) and invasive measurements of intracranial pressure (ICP). Based on critical closing pressure (CrCP), the authors introduce a novel method for a noninvasive estimator of CPP (eCPP). METHODS Data from 280 head-injured patients with ABP, ICP, and transcranial Doppler ultrasonography measurements were retrospectively examined. CrCP was calculated with a noninvasive version of the cerebrovascular impedance method. The eCPP was refined with a predictive regression model of CrCP-based estimation of ICP from known ICP using data from 232 patients, and validated with data from the remaining 48 patients. RESULTS Cohort analysis showed eCPP to be correlated with measured CPP (R = 0.851, p < 0.001), with a mean ± SD difference of 4.02 ± 6.01 mm Hg, and 83.3% of the cases with an estimation error below 10 mm Hg. eCPP accurately predicted low CPP (< 70 mm Hg) with an area under the curve of 0.913 (95% CI 0.883–0.944). When each recording session of a patient was assessed individually, eCPP could predict CPP with a 95% CI of the SD for estimating CPP between multiple recording sessions of 1.89–5.01 mm Hg. CONCLUSIONS Overall, CrCP-based eCPP was strongly correlated with invasive CPP, with sensitivity and specificity for detection of low CPP that show promise for clinical use.
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Dissertations / Theses on the topic "Arterial blood pressure estimation"

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Zakrzewski, Aaron Michael. "Arterial blood pressure estimation using ultrasound." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111743.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 155-163).
While blood pressure is commonly used by doctors as an indicator of patient health, the available techniques to measure the quantity suffer from many inconveniences such as cutting off blood flow, being cumbersome to use, being invasive, or being inaccurate. The research addresses many of these inconveniences by developing and evaluating a novel ultrasound-based blood pressure measurement technique that is non-invasive and non-occlusive. The technique proceeds in three steps: data acquisition, data reduction, and optimization. In the data acquisition step, an ultrasound probe is placed on a patient's artery and a force sweep is conducted such that the contact force gradually increases; both the applied force and B-Mode images are recorded. In the data-reduction step, the Star-Kalman filter is applied in order to find the size of the artery in each image frame captured. The segmentation data and contact force data are inputs into the optimization step which consists of two sequential optimizations; the first makes many modeling assumptions and gives an estimate of pulse pressure while the second makes less assumptions and uses the approximation of pulse pressure to obtain absolute values of systolic and diastolic blood pressure. Central to the optimization algorithm is a computational biomechanical model of the artery and surrounding tissue, which is numerically modeled using finite elements. The impact of major modeling assumptions is corrected with a one time calibration. The technique is validated on a number of different data sets. Major data sets discussed include data taken on the carotid artery of (1) 24 single-visit nominally healthy volunteers, (2) two multi-visit nominally healthy volunteers, (3) one multi-visit hypertensive volunteer, and (4) one multi-visit hypotensive volunteer; additional miscellaneous data sets are taken and analyzed as part of this dissertation. The algorithm performance is quantified against readings from an automatic oscillometric cuff. Results show that systolic and diastolic blood pressures can be predicted by the algorithm. The technology discussed in this dissertation represents a proof-of-concept of a blood pressure measurement technique that could occupy a clinical middle ground between the invasive catheter and cuff-based techniques.
by Aaron Michael Zakrzewski.
Ph. D.
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Baktash, Seddigheh. "Ratio-Independent Arterial Stiffness-Based Blood Pressure Estimation." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30971.

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Blood pressure is one of the crucial vital signs that still lacks measurement accuracy in clinical environments. It is reported by physicians that automated non-invasive blood pressure measurement devices, which are usually based on the oscillometric method, do not provide accurate estimation of blood pressure. This problem has been addressed in this work by incorporating arterial stiffness in blood pressure measurement. Pulse transit time is first used to estimate arterial stiffness parameters. Afterwards, these parameters are fixed into a model of the oscillometric envelope which can then be used to curve fit measured data using only four free parameters: systolic, diastolic, mean blood pressure and minimum lumen area. The proposed individualized technique is independent of any experimentally determined ratio, commonly used in existing oscillometric methods. The accuracy of the proposed technique is evaluated by comparing with (1) the same model without incorporation of arterial stiffness (i.e. a purely oscillometric technique), and (2) Omron device measurements. The results are promising and meet the criteria recommended by the ANSI/AAMI SP - 10 standard for non-invasive blood pressure measurement techniques.
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Sun, James Xin. "Cardiac output estimation using arterial blood pressure waveforms." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/41625.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 73-74).
Cardiac output (CO) is a cardinal parameter of cardiovascular state, and a fundamental determinant of global oxygen delivery. Historically, measurement of CO has been limited to critically-ill patients, using invasive indicator-dilution methods such as thermodilution via Swan-Ganz lines, which carry risks. Over the past century, the premise that CO could be estimated by analysis of the arterial blood pressure (ABP) waveform has captured the attention of many investigators. This approach of estimating CO is minimally invasive, cheap, and can be done continuously as long as ABP waveforms are available. Over a dozen different methods of estimating CO from ABP waveforms have been proposed and some are commercialized. However, the effectiveness of this approach is nebular. Performance validation studies in the past have mostly been conducted on a small set of subjects under well-controlled laboratory conditions. It is entirely possible that there will be circumstances in real world clinical practice in which CO estimation produces inaccurate results. In this thesis, our goals are to (1) build a computational system that estimates CO using 11 of the established methods; (2) evaluate and compare the performance of the CO estimation methods on a large set clinical data, using the simultaneously available thermodilution CO measurements as gold-standard; and (3) design and evaluate an algorithm that identifies and eliminates ABP waveform segments of poor quality. Out of the 11 CO estimation methods studied, there is one method (Liljestrand method) that is clearly more accurate than the rest. Across our study population of 120 subjects, the Liljestrand method has an error distribution with a 1 standard deviation error of 0.8 L/min, which is roughly twice that of thermodilution CO. These results suggest that although CO estimation methods may not generate the most precise values, they are still useful for detecting significant (>1 L/min) changes in CO.
by James Xin Sun.
M.Eng.
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Beeks, Kyle A. "Arterial blood pressure estimation using ultrasound technology and transmission line arterial model." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121663.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 67-69).
This thesis describes the application of a transmission line model to arterial measurements in order to derive useful cardiovascular parameters. Non-invasive ultrasound techniques are used to make these measurements, which has several benefits over invasive methods such as arterial catheterization. However, invasive methods are seen as the "gold standard" measurements and therefore the most accurate. Having accurate measurements that can be done non-invasively would be very desirable for cardiologists to determine their patients' risk of developing cardiovascular disease. This work details how to obtain the blood flow and pulse pressure waveforms using ultrasound transducers. Two transducers, one for imaging and one for Doppler, can be used together to derive these waveforms from distension and blood flow velocity measurements. Unfortunately, the only blood pressure waveform that can be obtained is the pulse pressure, which does not contain diastolic information. By decomposing the backward and forward pulse and flow waves and using the transmission line model, the diastolic pressure can be determined and the complete arterial blood pressure waveform can be obtained.
by Kyle A. Beeks.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Koohi, Iraj. "Methods for Non-invasive Trustworthy Estimation of Arterial Blood Pressure." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35830.

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The trustworthiness of the blood pressure (BP) readings acquired by oscillometric home-based monitoring systems is a challenging issue that requires patients to see the doctor for trusted measurements, especially those who are obese or have cardiovascular diseases such as hypertension or atrial fibrillation. Even with the most accurate monitors one may get different readings if BP is repeatedly measured. Trusted BP readings are those measured with accurate devices at proper measurement conditions. The accurate monitors need an indicator to assure the trustworthiness of the measured BP. In this work, a novel algorithm called the Dynamic Threshold Algorithm (DTA) is proposed that calculates trusted boundaries of the measured systolic and diastolic pressures from the recorded oscillometric waveforms. The DTA determines a threshold from the heart rate of subjects to locate the oscillometric pulse at the mean arterial pressure (PULSEMAP) and uses the peak, trough, and pressure of the located pulse to calculate the trusted boundaries. In terms of accuracy, a modeling approach is employed to estimate BP from the arterial lumen area oscillations model in the diastolic region (ALA-based). The model requires compliance parameter ‘c’ to estimate BP. To this end, a pre-developed linear regression model between ‘c’ and the corresponding amplitude ratio of the PULSEMAP is employed to evaluate ‘c’. The proposed method uses ‘c’ and estimates BP by minimizing differences between peak and trough amplitudes of the actual and corresponding simulated waveforms. The proposed DTA and ALA-based methods were tested on two datasets of healthy subjects and one dataset of sick subjects with cardiovascular diseases, and results were validated against corresponding references and compared with two popular maximum amplitude and maximum/minimum slope algorithms. Mean absolute error (MAE) and standard deviation of errors (STDE) are used to evaluate and compare the results. For healthy subjects, the MAE of the estimated systolic (SBP) and diastolic (DBP) blood pressures was improved up to 57% and 57% with an STDE of 55% and 62%, respectively. For sick subjects, the MAE was improved up to 40% and 29% with an STDE of 36% and 20% for SBP and DBP, respectively.
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Tannous, Milad. "Robust Estimation of Mean Arterial Pressure in Atrial Fibrillation Using Oscillometry." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31707.

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Blood pressure measurement has been and continues to be one of the most important measurements in clinical practice and yet, it remains one of the most inaccurately performed. The use of oscillometric blood pressure measurement monitors has become common in hospitals, clinics and even homes. Typically, these monitors assume that the heartbeat rate remains stable, which is contrary to what happens in atrial fibrillation. In this thesis, a new method that provides a more precise estimate of Mean Arterial Pressure (MAP) is proposed using anon-invasive oscillometric blood pressure monitor. The proposed method is based on calculating a ratio of peak amplitude to trough amplitude for every pulse, then identifying where the ratio first reaches a value of 2. The performance of the proposed method is assessed by comparing the accuracy and variability of the readings against reference monitors -first in healthy subjects, then in atrial fibrillation patients. In healthy subjects and in atrial fibrillation patients, the proposed method achieved a performance accuracy that is well within the ANSI/AAMI SP10 protocol requirements of the reference monitors. The presence of atrial fibrillation diminished the performance of the reference monitor by increasing the variability of the reference readings. The proposed algorithm, on the other hand, performed better by achieving substantially lower variability in the readings than the reference device.
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Arai, Tatsuya. "Estimation of cardiovascular indices by analysis of the arterial blood pressure signal." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67751.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 175-177).
This thesis introduces novel mathematical algorithms that track changes in stroke volume (SV), cardiac output (CO), and total peripheral resistance (TPR) by analysis of the arterial blood pressure (ABP) signal. The algorithms incorporate cardiovascular physiology within the framework of a generalized Windkessel model, which is a widely accepted cardiovascular model. Algorithms to identify end systole were also developed and implemented in the new and existing SV, CO, and TPR estimation algorithms. The algorithms were validated by applying them to previously recorded Yorkshire swine data sets that include directly measured aortic blood flow (ABF), SV, CO, as well as central and peripheral ABP. Among the algorithms using the end systole identification algorithms, Parabolic Method, Modified Herd's Method, Kouchoukos Correction Method, and Corrected Impedance Method achieved low root normalized mean squared errors (RNMSEs). This thesis also introduces and validates a novel algorithm to reconstruct instantaneous ABF waveforms from the ABP signal. The algorithm utilizes an auto-regressive with exogenous input (ARX) model to describe the filter between ABF and ABP. Because ABF (the exogenous input to the peripheral circulation) is approximately zero during diastole, the diastolic ABP waveforms can be regarded as auto-regressive (AR). By the AR analysis of multiple diastolic ABP waveforms, the AR parameters are obtained. The AR parameters were applied to the ABP waveforms (both systolic and diastolic) to compute beat-to-beat ABF waveforms. The errors of skewness and kurtosis of the estimated ABF waveforms were statistically smaller than those estimated by the standard Windkessel model. The estimated ABF waveforms were further processed to estimate SV, CO, and TPR. The algorithm achieved RNMSEs of 15.3, 19.6, and 21.8% in SV estimation; 12.7, 15.2, and 15.8% in CO estimation; and 14.3, 20.9, and 19.4 % in TPR estimation derived from central, femoral, and radial ABP, respectively.
by Tatsuya Arai.
Ph.D.
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Dastmalchi, Azadeh. "Beat-to-Beat Estimation of Blood Pressure by Artificial Neural Network." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/31962.

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High blood pressure is a major public health issue. However, there are many physical and non-physical factors that affect the measurement of blood pressure (BP) over very short time spans. Therefore, it is very difficult to write a mathematical equation which includes all relevant factors needed to estimate accurate BP values. As a result, a possible solution to overcome these limitations is the use of an artificial neural network (ANN). The aim of this research is to design and implement a new ANN approach, which correlates the arterial pulse waveform shape to BP values, for estimation of BP in a single heartbeat. To test the feasibility of this approach, a pilot study was performed on an arterial pulse waveform dataset obtained from 11 patients with normal BP and 11 patients with hypertension. It was found that the proposed method can accurately estimate BP in single heartbeats and satisfy the requirements of the ANSI/AAMI standard for non-invasive measurement of BP.
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Chen, Tiffany. "Cardiac output estimation from arterial blood pressure waveforms using the MIMIC II database." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53096.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Includes bibliographical references (p. 115-118).
The effect of signal quality on the accuracy of cardiac output (CO) estimation from arterial blood pressure (ABP) was evaluated using data from the Multi-Parameter Intelligent Patient Monitoring for Intensive Care (MIMIC) II database. Thermodilution CO (TCO) was the gold standard, and a total of 121 records with 1,497 TCO measurements were used. Six lumped-parameter and systolic area CO estimators were tested, using ABP features and a robust heart rate (HR) estimate. Signal quality indices for ABP and HR were calculated using previously described metrics. For retrospective analysis, results showed that the Liljestrand estimator yielded the lowest error for all levels of signal quality and for any single estimator when using five or more calibration points. Increasing signal quality decreased error and only marginally reduced the amount of available data, as a signal quality level of 90% preserved sufficient data for almost continuous CO estimation. At the recommended signal quality thresholds, the lowest gross root mean square normalized error (RMSNE) was found to be 15.4% (or 0.74 L/min) and average RMSNE was 13.7% (0.71 L/min). Based on these results, a linear combination (LC) of the six CO estimation methods was developed and proved superior to all other methods when up to 13 TCO calibration values were used. The clinical utility of the CO estimates were examined by correlating changes in four vasoactive medication doses with corresponding changes in estimated resistance, which was derived from mean ABP and estimated CO.
(cont.) Both the Liljestrand estimator and the LC estimator were used to estimate CO. Regression analysis failed to show a clear correlation between dose level and estimated resistance for either estimator except for neosynephrine, revealing the limitations of current SQI methods in ensuring signal fidelity. Examples of types of non-physiological or artifactual ABP waveforms are shown, and a potential damping detection method is proposed.
by Tiffany Chen.
M.Eng.
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Francis, Said Elias. "Continuous estimation of cardiac output and arterial resistance from arterial blood pressure using a third-order Windkessel model." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41641.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 85-89).
Intensive Care Units (ICUs) have high impact on the survival of critically-ill patients in hospitals. Recent statistics have shown that only 10% of the 5 million patients admitted to ICUs in the United States die each year. In modern ICUs, the heart's electrical and mechanical activity is routinely monitored using various sensors. Arterial blood pressure (ABP) and heart rate (HR) are the most commonly recorded waveforms which provide key information to the ICU clinical staff. However, clinicians find themselves in many cases unable to determine the causes behind abnormal behavior of the cardiovascular system because they lack frequent measures of cardiac output (CO), the average blood flow out of the left ventricle. CO is monitored via intermittent thermodilution measurements which are highly invasive and only applied to the sickest ICU patients. The lack of frequent CO measurements has encouraged researchers to develop estimation methods for cardiac output from routinely measured arterial blood pressure waveforms. The prospects of estimating cardiac output from minimally-invasive blood pressure measurements has resulted in numerous estimation algorithms, however, there is no consensus on the performance of the algorithms that have been proposed. In this thesis, we investigate the use of a third-order variation of the Windkessel model, which is referred to as the modified Windkessel model. We validate its ability to generate well-behaved proximal and distal pressure waveforms for a given flow waveform and thus characterize the arterial tree. We also develop a model-based CO estimation algorithm which uses central and peripheral blood pressure waveforms to obtain reliable estimates of CO and the total peripheral resistance (TPR). We applied the estimation algorithm to a porcine data set.
(cont.) The results of our estimation algorithm are promising: the weighted-mean root-mean-squared-normalized-error (RMSNE) is about 13.8% over four porcine records. In each porcine experiment, intravenous drug infusions were used to vary CO, ABP, and HR over wide ranges. Our results suggest that the modified Windkessel model is a good representation of the arterial tree and that the estimation algorithm yields reliable estimates of CO and TPR under various hemodynamic conditions.
by Said Elias Francis.
M.Eng.
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Books on the topic "Arterial blood pressure estimation"

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Safar, Michel E., Michael F. O'Rourke, and Edward D. Frohlich, eds. Blood Pressure and Arterial Wall Mechanics in Cardiovascular Diseases. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5198-2.

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1952-, Portaluppi Francesco, Smolensky Michael H, and New York Academy of Sciences., eds. Time-dependent structure and control of arterial blood pressure. New York, N.Y: New York Academy of Sciences, 1996.

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Cechella, Achutti Aloysio, ed. Controle da hipertensão arterial: Uma proposta de integração ensino-serviço. Rio de Janeiro [i.e. Brasília, Brazil]: Ministério da Saúde, 1993.

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Robyn, Barst, ed. Pulmonary arterial hypertension: Diagnosis and evidence-based treatment. Chichester, West Sussex, England: John Wiley & Sons, 2008.

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Zandevakili, Roham. Effects of ANG II and its receptor blockers on nasal salt gland secretion and arterial blood pressure in conscious perkin ducks (Anas plalytrhynchos). Ottawa: National Library of Canada, 1998.

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Sainz, Jorge G., and Bradley P. Fuhrman. Basic Pediatric Hemodynamic Monitoring. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199918027.003.0005.

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Physiological monitoring using a variety of technological advances supplements, but does not replace, our ability to distinguish normal from abnormal physiology traditionally gleaned from physical examination. Pulse oximetry uses the wavelengths of saturated and unsaturated hemoglobin to estimate arterial oxygenation noninvasively. Similar technology included on vascular catheters provides estimation of central or mixed venous oxygenation and helps assess the adequacy of oxygen delivered to tissues. End-tidal carbon dioxide measurements contribute to the assessment of ventilation. Systemic arterial blood pressure and central venous pressure measurements help evaluate cardiac performance, including the impact of ventilatory support. Intra-abdominal pressure may increase as a result of intraluminal air or fluid, abnormal fluid collections within the peritoneal cavity, or abnormal masses. Increased pressure may impede venous return to the heart and compromise intra-abdominal organ perfusion. Pressure measurement guides related management decisions.
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Granger, Joey, and D. Neil Granger. Regulation of Arterial Pressure. Morgan & Claypool Life Science Publishers, 2011.

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Epidemiology of Arterial Blood Pressure. Springer, 2011.

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Kesteloot, H., and J. V. Joosens. Epidemiology of Arterial Blood Pressure. Springer London, Limited, 2012.

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Kesteloot, H., and J. V. Joosens. Epidemiology of Arterial Blood Pressure. Springer Netherlands, 2011.

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Book chapters on the topic "Arterial blood pressure estimation"

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Aaslid, R., T. Lundar, K. F. Lindegaard, and H. Nornes. "Estimation of Cerebral Perfusion Pressure from Arterial Blood Pressure and Transcranial Doppler Recordings." In Intracranial Pressure VI, 226–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70971-5_43.

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Abhay, Theertha, Kayalvizhi N., and Rolant Gini J. "Estimating Correlation between Arterial Blood Pressure and Photoplethysmograph." In IFMBE Proceedings, 47–52. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4220-1_10.

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Saugel, Bernd, Thomas W. L. Scheeren, and Jean-Louis Teboul. "Arterial Blood Pressure." In Hemodynamic Monitoring, 233–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_21.

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Vlachopoulos, Charalambos, Michael O'Rourke, and Audrey Adji. "Central Arterial Pressure." In McDonald's Blood Flow in Arteries, 601–11. 7th ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781351253765-25.

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Kobzik, Alexander, and Michael R. Pinsky. "Arterial Blood Pressure Regulation." In Hemodynamic Monitoring, 39–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_5.

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Salvi, Paolo. "Central Arterial Blood Pressure." In Pulse Waves, 45–68. Milano: Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2439-7_5.

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O'Rourke, Michael, and Audrey Adji. "Arterial Pressure Waveform Analysis." In McDonald's Blood Flow in Arteries, 631–75. 7th ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781351253765-27.

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Nahler, Gerhard. "mean arterial blood pressure (MAP)." In Dictionary of Pharmaceutical Medicine, 110. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_831.

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Williamson, Jill A., and Stephanie Leone. "Noninvasive Arterial Blood Pressure Monitoring." In Advanced Monitoring and Procedures for Small Animal Emergency and Critical Care, 134–44. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118997246.ch10.

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Kam, Peter, Ian Power, Michael J. Cousins, and Philip J. Siddal. "Regulation of Arterial Blood Pressure." In Principles of Physiology for the Anaesthetist, 189–94. Fourth edition. | Boca Raton : CRC Press, Taylor & Francis Group, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429288210-31.

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Conference papers on the topic "Arterial blood pressure estimation"

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Jung, J. H., S. H. Yoon, J. H. Kim, I. C. Kim, A. Y. Jeon, S. Y. Ye, B. C. Kim, et al. "Estimation of the Blood Pressure using Arterial Pressure-Volume Model." In 6th International Special Topic Conference on Information Technology Applications in Biomedicine, 2007. IEEE, 2007. http://dx.doi.org/10.1109/itab.2007.4407402.

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Hongxia Ding, Ping Yang, and Yuan-Ting Zhang. "Estimation of central blood pressure using peripheral upper extremity arterial blood pressure: A comparative study." In 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2012. http://dx.doi.org/10.1109/bhi.2012.6211663.

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Paviglianiti, Annunziata, Vincenzo Randazzo, Eros Pasero, and Alberto Vallan. "Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG." In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2020. http://dx.doi.org/10.1109/i2mtc43012.2020.9129361.

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Balasingam, B., M. Forouzanfar, M. Bolic, H. Dajani, V. Groza, and S. Rajan. "Arterial blood pressure parameter estimation and tracking using particle filters." In 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2011. http://dx.doi.org/10.1109/memea.2011.5966739.

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Poojitha, Uthappa P., Keerthi Ram, Nabeel PM, Raj Kiran V., Jayaraj Joseph, and Mohanasankar Sivaprakasam. "Blood Pressure Estimation using Arterial Diameter: Exploring Different Machine Learning Methods." In 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2020. http://dx.doi.org/10.1109/memea49120.2020.9137234.

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Jung Soo Kim, Ko Keun Kim, Hyun Jae Baek, and Kwang Suk Park. "Comparable parameter related to arterial stiffness in blood pressure estimation method." In 2008 International Conference on Technology and Applications in Biomedicine (ITAB). IEEE, 2008. http://dx.doi.org/10.1109/itab.2008.4570557.

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Yoshizawa, Rikuto, Kohei Yamamoto, and Tomoaki Ohtsuki. "Arterial Blood Pressure Estimation Method from Electrocardiogram Signals using U-Net." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871430.

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Ghasemi, Zahra, Chang-Sei Kim, Eric Ginsberg, John Duell, Anuj Gupta, and Jin-Oh Hahn. "Estimation of Central Aortic Blood Pressure From Non-Invasive Cuff Pressure Oscillation Signals via System Identification." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9785.

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This paper presents a model-based system identification approach to estimation of central aortic blood pressure waveform from non-invasive cuff pressure oscillation signals. First, we developed a mathematical model that can reproduce the relationship between central aortic blood pressure waveform and non-invasive cuff pressure oscillation signals at diametric locations by combining models to represent wave propagation in the artery, arterial pressure-volume relationship, and mechanics of the occlusive cuff. Second, we formulated the problem of estimating central aortic blood pressure waveform from non-invasive cuff pressure oscillation signals into a system identification problem. Third, we showed the proof-of-concept of the approach using simulated central aortic blood pressure waveform and cuff pressure oscillation signals. Finally, we illustrated the feasibility of the approach using central aortic blood pressure waveform and cuff pressure oscillation signals collected from a human subject. We showed that the proposed approach could estimate central aortic blood pressure waveform with accuracy: the root-mean-squared error associated with the central aortic blood pressure waveform was 1.7 mmHg (amounting to 1.6 % of the underlying mean blood pressure) while the errors associated with central aortic systolic and pulse pressures were −0.4 mmHg and −1.5 mmHg (amounting to −0.3 % and −1.4 % of the underlying mean blood pressure).
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Mookerjee, Ashis, Ahmed M. Al-Jumaily, and Andrew Lowe. "Individualized Transfer Functions for the Noninvasive Estimation of Central Pressure From Brachial Pressure Readings." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11825.

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A model-based investigation is carried out with the aim of developing an ab-initio methodology for the patient-specific estimation of central pressures from brachial blood pressure readings. The subclavian root-brachial artery segment is modeled as a 1-D tube with all model parameters linked to patient characteristics. A simulation is also run with typical physiological parameters, which gives a “first estimate” of the transfer function (TF). The TF derived using the patient characteristics is studied in detail to investigate the change in the arterial TF occurring with changes in patient characteristics. This TF is compared with the “first estimate” to evaluate the feasibility of using standard arterial properties.
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Yoon, Sang-hwa, Jae-hee Jung, Ah-young Jeon, In-cheol Kim, Sung-chul Kang, Jae-hyoung Kim, Cheol-han Kim, Soo-young Ye, and Gye-rok Jeon. "Simulation of Estimating the Blood Pressure Using an Arterial Pressure-Volume Model." In 2007 International Conference on Convergence Information Technology - ICCIT '07. IEEE, 2007. http://dx.doi.org/10.1109/iccit.2007.412.

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Reports on the topic "Arterial blood pressure estimation"

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Tschoellitsch, Thomas, Martin Dünser, Matthias Noitz, and Michael Türk. Clinical indicators of systemic tissue hypoperfusion (‘shock’): A protocol for a systematic review and qualitative analysis of the literature. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0047.

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Review question / Objective: The objective of this review is to identify the current scientific evidence on the value of clinical signs to indicate systemic tissue hypoperfusion or shock. Condition being studied: In the literature and clinical studies, shock has traditionally been defined by a drop in arterial blood pressure under a critical threshold, e.g., a systolic blood pressure of 90 mmHg, a mean arterial blood pressure <65 mmHg or a relative drop in systolic blood pressure of ≥40 mmHg. From a pathophysiologic point of view, shock relates to an imbalance between tissue oxygen delivery as well as cellular oxygen consumption and utilization. In most cases, shock results from systemic tissue hypoperfusion with consequent decreased tissue oxygen delivery (commonly referred to as circulatory shock). Impaired cellular oxygen consumption and utilization appear to play contributory roles in specific disease states (e.g., sepsis) or conditions (e.g., intoxications).
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Schwieger, Alexandra, Kaelee Shrewsbury, and Paul Shaver. Dexmedetomidine vs Fentanyl in Attenuating the Sympathetic Surge During Endotracheal Intubation: A Scoping Review. University of Tennessee Health Science Center, July 2021. http://dx.doi.org/10.21007/con.dnp.2021.0007.

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Purpose/Background Direct laryngoscopy and endotracheal intubation after induction of anesthesia can cause a reflex sympathetic surge of catecholamines caused by airway stimulation. This may cause hypertension, tachycardia, and arrhythmias. This reflex can be detrimental in patients with poor cardiac reserve and can be poorly tolerated and lead to adverse events such as myocardial ischemia. Fentanyl, a potent opioid, with a rapid onset and short duration of action is given during induction to block the sympathetic response. With a rise in the opioid crisis and finding ways to change the practice in medicine to use less opioids, dexmedetomidine, an alpha 2 adrenergic agonist, can decrease the release of norepinephrine, has analgesic properties, and can lower the heart rate. Methods In this scoping review, studies published between 2009 and 2021 that compared fentanyl and dexmedetomidine during general anesthesia induction and endotracheal intubation of surgical patients over the age of 18 were included. Full text, peer-reviewed studies in English were included with no limit on country of study. The outcomes included post-operative reviews of decrease in pain medication usage and hemodynamic stability. Studies that were included focused on hemodynamic variables such as systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, and use of opioids post-surgery. Result Of 2,114 results from our search, 10 articles were selected based on multiple eligibility criteria of age greater than 18, patients undergoing endotracheal intubation after induction of general anesthesia, and required either a dose of dexmedetomidine or fentanyl to be given prior to intubation. Dexmedetomidine was shown to effectively attenuate the sympathetic surge during intubation over fentanyl. Dexmedetomidine showed a greater reduction in heart rate, systolic blood pressure, diastolic blood pressure, mean arterial pressure than fentanyl, causing better hemodynamic stability in patients undergoing elective surgery.Implications for Nursing Practice Findings during this scoping review indicate that dexmedetomidine is a safe and effective alternative to fentanyl during induction of general anesthesia and endotracheal intubation in attenuating the hemodynamic response. It is also a safe choice for opioid-free anesthesia.
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Wideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche, and William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, December 2000. http://dx.doi.org/10.32747/2000.7575287.bard.

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Background PHS (pulmonary hypertension syndrome, ascites syndrome) is a serious cause of loss in the broiler industry, and is a prime example of an undesirable side effect of successful genetic development that may be deleteriously manifested by factors in the environment of growing broilers. Basically, continuous and pinpointed selection for rapid growth in broilers has led to higher oxygen demand and consequently to more frequent manifestation of an inherent potential cardiopulmonary incapability to sufficiently oxygenate the arterial blood. The multifaceted causes and modifiers of PHS make research into finding solutions to the syndrome a complex and multi threaded challenge. This research used several directions to better understand the development of PHS and to probe possible means of achieving a goal of monitoring and increasing resistance to the syndrome. Research Objectives (1) To evaluate the growth dynamics of individuals within breeding stocks and their correlation with individual susceptibility or resistance to PHS; (2) To compile data on diagnostic indices found in this work to be predictive for PHS, during exposure to experimental protocols known to trigger PHS; (3) To conduct detailed physiological evaluations of cardiopulmonary function in broilers; (4) To compile data on growth dynamics and other diagnostic indices in existing lines selected for susceptibility or resistance to PHS; (5) To integrate growth dynamics and other diagnostic data within appropriate statistical procedures to provide geneticists with predictive indices that characterize resistance or susceptibility to PHS. Revisions In the first year, the US team acquired the costly Peckode weigh platform / individual bird I.D. system that was to provide the continuous (several times each day), automated weighing of birds, for a comprehensive monitoring of growth dynamics. However, data generated were found to be inaccurate and irreproducible, so making its use implausible. Henceforth, weighing was manual, this highly labor intensive work precluding some of the original objectives of using such a strategy of growth dynamics in selection procedures involving thousands of birds. Major conclusions, solutions, achievements 1. Healthy broilers were found to have greater oscillations in growth velocity and acceleration than PHS susceptible birds. This proved the scientific validity of our original hypothesis that such differences occur. 2. Growth rate in the first week is higher in PHS-susceptible than in PHS-resistant chicks. Artificial neural network accurately distinguished differences between the two groups based on growth patterns in this period. 3. In the US, the unilateral pulmonary occlusion technique was used in collaboration with a major broiler breeding company to create a commercial broiler line that is highly resistant to PHS induced by fast growth and low ambient temperatures. 4. In Israel, lines were obtained by genetic selection on PHS mortality after cold exposure in a dam-line population comprising of 85 sire families. The wide range of PHS incidence per family (0-50%), high heritability (about 0.6), and the results in cold challenged progeny, suggested a highly effective and relatively easy means for selection for PHS resistance 5. The best minimally-invasive diagnostic indices for prediction of PHS resistance were found to be oximetry, hematocrit values, heart rate and electrocardiographic (ECG) lead II waves. Some differences in results were found between the US and Israeli teams, probably reflecting genetic differences in the broiler strains used in the two countries. For instance the US team found the S wave amplitude to predict PHS susceptibility well, whereas the Israeli team found the P wave amplitude to be a better valid predictor. 6. Comprehensive physiological studies further increased knowledge on the development of PHS cardiopulmonary characteristics of pre-ascitic birds, pulmonary arterial wedge pressures, hypotension/kidney response, pulmonary hemodynamic responses to vasoactive mediators were all examined in depth. Implications, scientific and agricultural Substantial progress has been made in understanding the genetic and environmental factors involved in PHS, and their interaction. The two teams each successfully developed different selection programs, by surgical means and by divergent selection under cold challenge. Monitoring of the progress and success of the programs was done be using the in-depth estimations that this research engendered on the reliability and value of non-invasive predictive parameters. These findings helped corroborate the validity of practical means to improve PHT resistance by research-based programs of selection.
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